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Overview We’re looking for a Staff Marketing Technology AI Platforms Manager to join Intuit’s Marketing Futures Team, a group embedded in our broader marketing organization tasked with defining, piloting, and scaling AI‑enabled and future‑oriented marketing capabilities. You will be the team’s rapid prototyper and technical builder, creating AI‑infused marketing tools, platforms and capabilities to deliver the promise of AI to our users with bespoke experiences at scale. You’ll facilitate technical integration with Content Management Systems, Customer Data Platforms, and Advertiser platforms, and work closely with engineering partners to ensure pilots are production‑ready. We are looking for a seasoned AI-first MarTech builder with a passion for customer-first marketing who is an avid learner, experimenter, and builder ready to ship fast and prove what’s possible. Responsibilities Rapidly prototype AI‑infused marketing tools and experiences: agentic workflow automation, atomic content generation & assembly, dynamic landing page generators, GPT‑based chat interfaces, predictive audience orchestration and more. Build and iterate on marketing MVPs using Python, Integrated Development Environments (e.g., Cursor, Windsurf, Claude Code), and generative AI frameworks. Own the MCP and API integration layer for Marketing Futures. Design, build, and operate custom MCP servers that expose Intuit's marketing data and actions (campaign performance, audience segments, creative assets, CMS content, CDP profiles, ad spend, search and GEO signals) to 3P and internal agentic systems. Define the schemas, authentication patterns, rate limiting, and observability that make these servers safe for production use. Wrap legacy APIs and fragmented vendor SDKs (SA360, Google Ads, Meta Ads, Adobe, and first party Intuit services) into clean, agent consumable tool interfaces so marketers and agents can operate against a single source of truth instead of swivel chairing between platforms. Lead the engineering of a scalable AI agent ecosystem, implementing Agent-to-Agent (A2A) protocols for multi-agent orchestration and developing custom MCP connectors for Slack, Google Workspace, Databricks, AWS, GCP and 1P platforms/services to bridge fragmented marketing workflows into a centralized, high-concurrency automation platform Facilitate technical integration between Marketing Futures pilots and production systems: CMSs (Content Management Systems), CDPs (Customer Data Platforms), ad platforms (Google Ads, Meta Ads), internal APIs. Design and execute A/B testing frameworks for AI‑enhanced marketing experiences; measure and report on performance lift, conversion impact, and efficiency gains. Develop automation scripts and workflows that reduce manual effort in campaign operations, creative production, and reporting. Partner with product, engineering, data science, and product teams to evaluate emerging AI tools and ensure marketing pilots meet technical standards for scalability and security. Build internal tools and prototypes that demonstrate the value of AI‑driven workflows, supporting the team’s evangelism and adoption efforts. Contribute to internal prompt libraries, technical documentation, and training materials that enable the broader marketing org to leverage AI tools independently. Qualifications 6-8 years of experience in marketing technology, data engineering, or a hybrid marketing/data engineering role, with at least 2 years building AI‑powered tools or automations in marketing/sales organizations. Past experience designing and building MCP servers, API wrappers, or equivalent tool/function calling layers for LLM agents, including schema design, auth (OAuth, API keys, service accounts), rate limiting, error handling, and observability. Experience integrating with marketing and advertising APIs (SemRush, Google Ads, Google Search Console, Meta Ads, DV360, SA360, Databricks, Marketo CDPs, CMSs) is strongly preferred. Hands-on experience with GCP/AWS serverless architecture (Cloud Run, Cloud Functions, BigQuery or Fargate, Lambda, Redshift, Athena) to build resilient marketing data pipelines that centralize intelligence across fragmented sources Strong technical skills: proficiency in Python, TypeScript/Node.js and/or JavaScript; experience building web applications, APIs, or integrations in a marketing context. Hands-on experience building production-grade multi-agent systems using Google ADK and Vertex AI Agent Engine (or equivalent), including orchestrator/sub-agent patterns and A2A protocol implementation Hands‑on experience with generative AI frameworks, LLM APIs (e.g., OpenAI, Anthropic), and prompt engineering for marketing applications. Experience with A/B testing platforms and experimentation methodology; comfort designing, running, and analyzing marketing experiments. Familiarity with marketing tech stacks: CMSs, CDPs, ad platform APIs (Meta, Google, TikTok), analytics tools. Strong problem‑solving skills and a bias toward shipping; comfort working in ambiguous, fast‑moving environments. Excellent collaboration skills; ability to translate between marketing strategy and technical implementation. Degree in Marketing, Information Systems, Computer Science, Data Science, or a related technical/quantitative field is required, or equivalent practical experience. Master’s degree in Marketing, Computer Science, or a related field is a plus. Experience in fintech, SaaS, or regulated industries is a plus. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area $169,000 - $229,000 Southern California $154,500 - $209,000

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. Our Support teams work with multiple departments in a dynamic environment that promotes flexibility and autonomy, while offering the opportunity to collaborate with a diverse group of professionals. We work to comply with our company standards, exceed customer expectations and drive our Great Place to Work culture. Through the consistent delivery of quality services and understanding the needs of our business, we develop innovative improvements as we strive towards our company’s Big, Hairy, Audacious Goals! We are looking for a highly analytical, execution-oriented Business Strategy Analyst to work as an individual contributor on some of the most important growth and go-to-market questions facing our auto lending business. This role is designed for a seasoned strategist who prefers hands-on problem solving and critical thinking over team management, and who can independently take ambiguous business questions from definition through analysis to executive-ready, data-driven recommendations. You will partner closely with leaders across Marketing, Sales, Product, Analytics (Underwriting/Pricing), and Finance, contributing rigorous analysis and structured thinking to shape go-to-market (GTM) strategy, growth initiatives, and strategic planning. While this is not a people-manager role, it has high visibility and impact, with regular interaction with Director- and VP-level stakeholders. This is not a role focused on passively pulling data or waiting for predefined order tickets. Success in this role requires proactive problem framing, hypothesis-driven analysis, and independent judgment—using data as a tool to answer why and what should we do, not just what happened. Outcomes and Activities: This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member. Independently lead strategic analyses that inform business and go-to-market (GTM) strategy, including product launches, customer segmentation, channel strategy, and market expansion. Translate ambiguous business questions into structured problem statements, hypotheses, and analytical workplans—without relying on detailed instructions. Build and maintain financial, strategic, and scenario models to evaluate new opportunities, risks, and trade-offs. Analyze large, complex datasets to uncover insights related to customer behavior, portfolio performance, channel effectiveness, and growth opportunities. Partner with cross-functional teams to shape the direction of analysis, not just execute predefined requests. Develop clear, insight-rich recommendations that are grounded in data, commercial judgment, and business impact. Create consulting-style, executive-quality PowerPoint presentations that use data-driven storytelling to influence decisions and align stakeholders. Define success metrics and KPIs for strategic initiatives and support ongoing performance tracking. Contribute meaningfully to quarterly and annual strategic planning cycles. Act as a trusted thought partner to senior stakeholders, bringing a strong point of view supported by analysis. Knowledge and Skills: Strong command of strategy and problem-solving frameworks, critical thinking, competitive analysis, and business case development. Advanced data analysis and modeling skills, with the ability to work independently end-to-end—from data exploration to insight synthesis. Experience with Business Intelligence (BI) tools, such as Power BI, to explore data, build views, and communicate insights. High fluency in data environments and tools such as SQL, Python, SAS/R, Snowflake, and Excel. Experience working with large datasets and de-averaging portfolio-level metrics to identify segment-level opportunities (e.g., by customer behavior, product usage, channel, or geography). Ability to design and interpret dashboards and data visualizations for senior audiences, while knowing when deeper analysis is required beyond dashboards. Excellent written and verbal communication skills, including executive storytelling and structured slide development. Comfortable operating in ambiguity with a bias for action, intellectual curiosity, and urgency. Strong business judgment and pragmatic decision-making mindset. Proven ability to influence without authority in a cross-functional, matrixed environment. Requirements: Bachelor's degree or equivalent experience. 3-6 years of relevant experience in: Top-tier or strong management consulting firms, or Internal strategy, analytics, or GTM roles at a high-performance company (e.g., financial services, fintech, consumer lending, technology). Demonstrated experience owning strategy or analytics workstreams independently, from problem definition through delivery. Hands-on experience using SQL and Python for data analysis (not just conceptual familiarity). Practical experience using BI tools such as Power BI as part of an overall analytical workflow. Experience working directly with senior stakeholders (Director / VP level). Strong presentation and executive communication experience, particularly in data-driven, consulting-style PPTs. Preferred: Bachelor’s degree or higher in business, economics, engineering, or quantitative field or equivalent experience. Experience in auto finance, fintech, consumer lending, or adjacent industries. Exposure to GTM-related domains such as: Customer or dealer segmentation Channel strategy or optimization Sales enablement Pricing or promotion strategy Growth or market-entry strategy Familiarity with Databricks or similar big data / analytics platforms used for large-scale data processing and analysis. Targeted Compensation: $103,000 - $120,000 base salary + an annual bonus plan This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders. #LI-Remote #zip INDCSLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please clickherefor the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

100% REMOTE This Jobot Job is hosted by: Katherine Krull Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $270,000 per year A bit about us: Come join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users! Job Title: Sr. AI Software Engineer Job Location: 100% REMOTE (*Must currently reside in the US) Pay Range: $170k–$270k Base Salary + Equity + Comprehensive Medical/Dental/Vision Benefits (100% paid for by the employer for employees and dependents) Must Have: 5–10 years of backend software engineering experience using C#/.Net 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Previous experience working for a startup company Preferred: DevOps experience MCP experience Snowflake, Databricks, or dbt Why join us? Founding-level opportunity within a newly formed AI engineering team Build enterprise-grade AI infrastructure and backend systems Highly visible role with direct access to leadership and product strategy Fast-moving, startup-style engineering culture with minimal bureaucracy Profitable, rapidly growing company with strong enterprise customer adoption Fully remote environment with competitive compensation and equity Job Details We are seeking a highly technical Backend Engineer to join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users. This is a high-impact opportunity to work directly with senior leadership and a small, elite engineering team focused on developing scalable AI capabilities inside a sophisticated data platform environment. Key Responsibilities Design and build scalable backend services using C#/.NET Develop AI-related platform functionality and infrastructure Build REST APIs and distributed/microservice-based systems Collaborate closely with product, architecture, and engineering leadership Support high-performance, enterprise-grade platform capabilities Contribute to technical design and system architecture discussions The ideal candidate will be mid-level backend .Net Software Engineer with recent experience within a small, fast-paced, API-focused AI infrastructure startup company with lean, highly collaborative engineering teams, where they have operated with significant ownership, autonomy, and a strong “go-getter” mentality. Must Have: 5–10 years of backend software engineering experience using C#/.Net 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Previous experience working for a startup company Preferred: DevOps experience MCP experience Snowflake, Databricks, or dbt Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

100% REMOTE This Jobot Job is hosted by: Katherine Krull Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $220,000 - $300,000 per year A bit about us: Come join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users! Job Title: Director of Engineering Job Location: 100% REMOTE (Must currently reside in the US) Pay Range: $220k-$300k Base Salary + Equity + Comprehensive Medical/Dental/Vision Benefits (100% paid for by the employer for employees and dependents) Must Have: 5–15 years professional Software Engineering experience MUST EITHER BE (1) Currently working as a Director of Engineering for startup company (Series A/B, ~$5-$25M annual revenue) OR (2) Currently working as a Director of Engineering for a larger organization, and been in this role for ~1-2 yrs 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Current or previous startup experience (Series A/B, ~$5-$25M annual revenue) Currently, owns the budget for an Engineering team Works with/collaborates directly with a Head of Product and Head of Finance Preferred: Regulated industry experience (financial services, banks, etc.) Snowflake, Databricks, or dbt Why join us? Opportunity to join during a foundational transformation into an AI infrastructure company. Leadership role with high visibility and major influence on future organizational structure. Profitable business with established enterprise customers. Building infrastructure intended to power AI agents across the data industry. Significant opportunity to shape platform architecture and engineering culture during a major inflection point. Job Details High-growth, profitable SaaS company transitioning into an AI infrastructure platform is seeking a highly technical and strategic engineering leader to oversee Engineering operations and partner cross-functionally with Product, Finance, and executive leadership. This is effectively a “Head of Engineering” role with ownership of Engineering leadership, organizational structure, technical direction, and operational execution. The company is evolving from a SaaS solution into foundational infrastructure for AI agents within the data industry. Please note: This position is 60-70% technical, and 30-40% cross-functional management. Key Responsibilities: Engineering Leadership • Lead and manage a globally distributed Engineering organization of ~16 team members. • Own Engineering execution, systems thinking, technical direction, and team structure. • Operate as a strategic and conceptual leader rather than a purely execution-focused Engineering Manager. • Help define and scale the next phase of the company’s Engineering organization following a recent executive restructuring. Cross-Functional Leadership • Partner closely with: ○ Product ○ Finance ○ Executive leadership ○ Operations • Own Engineering budgeting responsibilities and communicate regularly with Finance leadership. • Collaborate heavily with Product teams and broader business stakeholders. Technical & AI Initiatives • Maintain strong technical credibility while operating strategically. • Drive AI adoption and Engineering productivity initiatives using tools such as Claude, Cursor, and related AI workflows. • Help guide API/infrastructure strategy, particularly within enterprise or regulated environments. • Provide leadership across backend/platform technologies (.NET preferred, but Go, Java, and similar backend) The ideal candidate is a Director of Engineering who has been working for a Series A/B, $5-$25M annual revenue startup, whom has remained highly technical but has learned cross-functional management skills, as well - and whom is ready for a change and grow in a new startup environment. Must Have: 5–15 years professional Software Engineering experience MUST EITHER BE (1) Currently working as a Director of Engineering for startup company (Series A/B, ~$5-$25M annual revenue) OR (2) Currently working as a Director of Engineering for a larger organization, and been in this role for ~1-2 yrs 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Current or previous startup experience (Series A/B, ~$5-$25M annual revenue) Currently, owns the budget for an Engineering team Works with/collaborates directly with a Head of Product and Head of Finance Preferred: Regulated industry experience (financial services, banks, etc.) Snowflake, Databricks, or dbt Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company’s strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations – Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 – $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Why join this team Develops robust Business Intelligence and data warehouse solutions using SSAS, SSRS, MS SQL Server and other BI technologies. Supports reports development and maintenance. Participates in requirements gathering and research, proposes technology solutions, and develops solutions within agreed upon timelines. This position is hybrid. NYC Salary range: $105,468 - $145,000 annually; compensation is commensurate to geographic location. What you'll do Regardless of seniority or role, uphold UNFCU’s mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors. Analyze, design, and develop ETL packages on SSIS. Design, develop, deploy and maintain reports on SSRS. Some exposure to Designing and developing dashboard on Power BI and/or Tableau. Design, develop, deploy and maintain dimensional models in SSAS cube and tabular model is a plus. Evaluate, design, propose, and secure approval for all design and implementation. Evaluate, design, and maintain multiple database environments; identify data sources, construct data decomposition diagrams, provide data flow diagrams and document the process; write codes for database access, modifications and constructions including stored procedures and database server configuration. Develop and maintain procedures and scripts for recreating the database environment and databases for disaster recovery purposes and business continuity strategy. Develop complex Script tasks (using C# or VB.NET) in SSIS to handle File System Objects. Design, develop, and integrate reporting/dashboard solutions on MS SharePoint. Administer database systems technical design, performance monitoring and tuning, backup and recovery, data and file distribution, reporting, database upgrades, integrations, migrations and conversions. Design and implement OLTP and OLAP data models. Develop and maintain database administration procedures and operations; cross train on, and provide operational support of, procedures. Design, implement, and support data warehousing - implement business rules via stored procedures, middleware or other technologies; define user interfaces and functional specifications. Responsible for verifying accuracy of data in dashboards, reports, data extracts and data warehouse. Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements. Troubleshoot and resolve data quality issues, database performance issues, database capacity issues, replication and other distributed data issues. Resolve database performance issues by looking at query plans, create appropriate indexes, resolve dead locks and create table hints. Troubleshoot and resolve issues in reports, dashboards and ETL packages. Closely work with other IT teams including Analysts and Product Managers to troubleshoot, modify and enhance existing BI assets. Coordinate activities and maintain extensive communication with appropriate IT staff and UNFCU staff. Develop, implement, and maintain change control and testing processes for modifications to databases. Participate in assigned roles in project teams. Follow the organization’s data protection and network securities and antivirus policies. Stay abreast of industry trends, and attend training, conferences and seminars according to organization’s business requirements. Participate in Credit Union training and development programs. Perform additional responsibilities as assigned. Ensure compliance with federal and state laws and regulations and UNFCU’s Code of Ethics & Business Conduct. What we're seeking Bachelor’s degree in Engineering or Computer Science 6 years of experience in reports and data warehouse development 5 years software development experience on Microsoft BI Platform – SSAS, SSRS, MS SQL Server 4 years of experience in DB Development using MS SQL 2 years of experience using Oracle Business Intelligence tools 2 years of experience in Data Migration from various systems to SQL Server Database 2 years of experience in building Data Marts using dimensional models 2 years of experience in building Dashboards and KPI visualization on Power BI and/or Tableau 2 years of supporting a Data Warehouse environment 1 year experience using Oracle PL/SQL What makes you stand out Knowledge of Data encryption tools and standards Experience in the following areas: Maintaining code/scripts in TFS for multiple environments Cloud technology like Microsoft Azure. Data Technologies like MongoDB, NoSQL, SnowFlake, DataBricks. DBA activities like database backup and restore. Hands on working experience in Linux/Unix Environment. XML Web Services Knowledge of financial/banking industry Who we are UNFCU is a global not-for-profit financial institution that serves the UN community. We are committed to providing peace of mind to our members and colleagues and strive to achieve service excellence in all that we do. The best part of UNFCU is the people. Those that choose to work with us often find personal fulfillment, professional growth and a purposeful culture. UNFCU is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. UNFCU prohibits discrimination and harassment of any type. All applicants will be considered for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices—including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision—bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle—from systems of record through the lakehouse to downstream consumers—and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle—from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions—business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)—deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 – $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Position: Data Engineer- AWS Location: Jersey City, New Jersey Duration: Contract Job ID: 172543 Job Overview: As a Data Engineer III specializing in Python, Spark, and Data Lake technologies within the Consumer and Community Bank, you will be a key member of an agile team. Your role will involve designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve organizational objectives. Responsibilities: Review and ensure sufficient protection of enterprise data through controls. Make custom configuration changes in tools to meet business or customer requests. Update logical or physical data models based on new use cases. Utilize SQL frequently and understand NoSQL databases and their applications. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Develop enterprise data models and maintain large-scale data processing pipelines. Lead code reviews and provide mentoring to team members. Drive data quality and ensure data accessibility for analysts and data scientists. Ensure compliance with data governance requirements and alignment with business goals. Qualifications: Formal training or certification in data engineering concepts with 2+ years of applied experience. Experience across the data lifecycle with advanced SQL skills and understanding of NoSQL databases. Proficiency in statistical data analysis and determining appropriate tools and data patterns. Extensive experience in AWS and maintaining data pipelines using Python and PySpark. Proficient in Python and PySpark for writing and executing complex queries. Proven experience in performance tuning to optimize job execution. Advanced proficiency in leveraging Gen AI models using APIs/SDKs. Expertise in cloud data lakehouse platforms such as AWS Data Lake, Databricks, or Hadoop. Proficiency in relational data stores like Postgres, Oracle, or similar, and NoSQL data stores like Cassandra, DynamoDB, or MongoDB. Advanced proficiency in Cloud Data Warehouses such as Snowflake or AWS Redshift. Experience with scheduling/orchestration tools like Airflow or AWS Step Functions. Proficiency in Unix scripting, data structures, and data serialization formats like JSON, AVRO, or Protobuf. Knowledge of big-data storage formats such as Parquet or Iceberg. Familiarity with data processing methodologies like batch, micro-batching, or streaming. Experience with data modeling techniques such as Dimensional, Data Vault, Kimball, or Inmon. Understanding of Agile methodology, TDD/BDD, and CI/CD tools. Preferred Qualifications: Knowledge of data governance and security best practices. Experience in conducting data analysis to support business insights. Strong expertise in Python and Spark. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-SS5

Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message https://jobot.com/apply/data-engineering-solutions-architect/950545053?utm_source=Monster directly. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Remote Project - Backend for mobile app This Jobot Consulting Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $40 - $50 per hour A bit about us: We are a well-established mobile-focused agency that builds top platforms for highly recognizable brands. Why join us? This is a 2-month project, set to begin in June, to build the backend for a unique mobile app for the travel industry. Job Details Backend: Java — Spring WebFlux (reactive, non-blocking microservices) Data stores: Databricks (contest data, guest data, eligibility links) Messaging: HTTP Webhook (Flagship → Contest Service) Caching: Redis API Gateway: Apigee Container Platform: Kubernetes Performance Testing: K6 No C2C Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Junior Business Analyst Job Number: 26-00851 Want to be part of the Energy Industry? ECLARO is looking for a Junior Business Analyst for our client in Brooklyn, NY. ECLARO's client operates one of the world's largest energy delivery systems, constantly at the forefront of innovations in developing technology. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: Analyzes an organization or business domain (real or hypothetical) and documents its business or processes or systems, assessing the business model or its integration with technology with distinct deliverables to a solution. Business Analyst for GIS. Responsibilities: Business Analysis & Project Support: Assist with gathering, documenting, and analyzing business and technical requirements. Support project managers and business teams in coordinating project activities, timelines, and deliverables. Create and maintain user stories, process documentation, workflow diagrams, and business process maps. Help facilitate meetings, status updates, and communication between technical teams and business stakeholders. Utility Technology & Digital Transformation: Support digital transformation initiatives involving enterprise repositories, workflows, mapping systems, and operational tools. Assist with backlog management and project tracking using Azure DevOps or similar platforms. Coordinate testing activities, issue tracking, and User Acceptance Testing (UAT) support. Assist with reporting, data validation, and operational process improvements. Documentation & Communication: Develop professional presentations, reports, SOPs, and training documentation for business and leadership audiences. Create workflow diagrams and technical documentation using Visio or similar tools. Communicate clearly and professionally with technical teams, management, and business users. Data & Technology Support: Support data migration, validation, and automation initiatives using tools such as Python, SQL, or Oracle databases. Assist with organizing and maintaining enterprise records and repositories. Participate in technology implementation efforts and process improvement initiatives. Required Qualifications: Bachelor's degree completed or in progress in: Computer Science, Information Systems, Business Analytics, Engineering, Related technical field Strong internship or co-op experience within a utility company environment Excellent communication, presentation and interpersonal skills Strong organizational and self-management abilities Demonstrated initiative, accountability, and determination Ability to manage multiple assignments and deadlines Experience with: Microsoft Office Suite, PowerPoint, Excel, Visio, Azure DevOps Ability to work collaboratively within cross-functional teams Ability to document business requirements and translate them into clear technical requirements. Administration and testing of Enterprise GIS and Database Projects Consistent UI design Figma Microsoft Office Visio Preferred Qualifications: Experience with: Python, SQL, Oracle databases, Figma, Workflow/process mapping, QA/UAT coordination Exposure to GIS, mapping systems, or enterprise utility applications is a plus. Experience supporting digital transformation or operational improvement initiatives preferred. Highly organized and detail-oriented Professional and dependable Eager to learn and grow Comfortable speaking with leadership and business stakeholders Able to work independently while collaborating effectively with teams Passionate about improving processes and supporting enterprise initiatives Ability to execute existing SQL queries Ability to intrepid, modify and write scripts and SQL queries Apps/.NET Developer Azure Cloud Data Engineer Azure Databricks Azure Data Factory Azure logic App Power BI Report Server Python ArcGIS Azure DevOps Schneider Electric ArcFM Pay Rate: $51.00-$60.00/Hour If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Heckle Tulab heckle.tulab@eclaro.com 2128047460 Heckle Tulab | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Title: Snowflake Data Cloud Architect Location: New York, NY Title: Snowflake Data Cloud Architect Location: New York, NY As a Snowflake Data Cloud Architect , you will be responsible for designing and implementing scalable, secure, and high-performance data solutions on Snowflake to support our Investment Management business goals . You will lead the architecture for data platform integration , enabling seamless communication between upstream (custodians, market data providers) and downstream (risk, performance, reporting) systems using event-driven approaches . This role requires strategic thinking, technical leadership, and deep expertise in Snowflake and modern data engineering practices. The Contributions You'll Make: Architect and Implement Snowflake Solutions: Design and optimize Snowflake-based data architectures for portfolio, security master, transactions, benchmarks, and performance data. Implement advanced Snowflake features (Streams, Tasks, Snowpipe, Snowpark) for real-time and batch processing. Enable Event-Driven Integration: Build ingestion pipelines leveraging Kafka, Azure Event Hub, or similar technologies for market data and transactional feeds. Design workflows for upstream and downstream system interoperability. Data Governance and Compliance: Implement RBAC, data masking, and encryption aligned with enterprise data policy. Ensure lineage and observability for regulatory reporting and audit. Technical Leadership: Act as a trusted advisor for architectural decisions and future-state roadmaps. Prepare technical specifications and design documentation. Innovation and Best Practices: Advocate for data quality through automation, validation frameworks, and rigorous testing. Recommend new technologies to improve system performance and reliability. Minimum Knowledge and Experience: Bachelor's degree in Computer Science, MIS, Engineering, or related field. 10 years of experience in data architecture/engineering, with 3 years focused on Snowflake. Strong background in financial data domains (IBOR/ABOR, transactions, market data, reference data). Hands-on experience with: Snowflake architecture (warehouses, streams, tasks, Snowpark). SQL, Python; experience with DBT. Event-driven technologies (Kafka / Azure Event Hub). Web API development (Flask / FastAPI). Experience implementing data security measures and compliance frameworks. Experience building data solutions with AI tools like Github Copilot. Experience with Data Quality Tools such as dbt Test, Monte Carlo, SODA. Excellent communication skills with ability to collaborate across business and technology teams. Nice to Have: SnowPro Core / Advanced Architect certification. Experience with Aladdin Data Cloud, Bloomberg DL, or similar investment data platforms. Experience with Data Application development (Streamlit, Dash). Familiarity with BI tools (Power BI, Tableau). Knowledge of FinOps for cost optimization. Exposure to Databricks, PySpark, and advanced analytics workflows. The Contributions You'll Make: Architect and Implement Snowflake Solutions: Design and optimize Snowflake-based data architectures for portfolio, security master, transactions, benchmarks, and performance data. Implement advanced Snowflake features (Streams, Tasks, Snowpipe, Snowpark) for real-time and batch processing. Enable Event-Driven Integration: Build ingestion pipelines leveraging Kafka, Azure Event Hub, or similar technologies for market data and transactional feeds. Design workflows for upstream and downstream system interoperability. Data Governance and Compliance: Implement RBAC, data masking, and encryption aligned with enterprise data policy. Ensure lineage and observability for regulatory reporting and audit. Technical Leadership: Act as a trusted advisor for architectural decisions and future-state roadmaps. Prepare technical specifications and design documentation. Innovation and Best Practices: Advocate for data quality through automation, validation frameworks, and rigorous testing. Recommend new technologies to improve system performance and reliability. Minimum Knowledge and Experience: Bachelor's degree in Computer Science, MIS, Engineering, or related field. 10 years of experience in data architecture/engineering, with 3 years focused on Snowflake. Strong background in financial data domains (IBOR/ABOR, transactions, market data, reference data). Hands-on experience with: Snowflake architecture (warehouses, streams, tasks, Snowpark). SQL, Python; experience with DBT. Event-driven technologies (Kafka / Azure Event Hub). Web API development (Flask / FastAPI). Experience implementing data security measures and compliance frameworks. Experience building data solutions with AI tools like Github Copilot. Experience with Data Quality Tools such as dbt Test, Monte Carlo, SODA. Excellent communication skills with ability to collaborate across business and technology teams. Nice to Have: SnowPro Core / Advanced Architect certification. Experience with Aladdin Data Cloud, Bloomberg DL, or similar investment data platforms. Experience with Data Application development (Streamlit, Dash). Familiarity with BI tools (Power BI, Tableau). Knowledge of FinOps for cost optimization. Exposure to Databricks, PySpark, and advanced analytics workflows.

Senior Data Engineer Job Number: 26-00677 Find your next opportunity in the Financial Services Industry. ECLARO is looking for a Senior Data Engineer for our client in Remote, NY. ECLARO’s client’s provides retirement savings, health & investment management and insurance services. If you’re up to the challenge, then take a chance at this rewarding opportunity Position Overview: The Senior Data Engineer, leads the design and implementation of robust data solutions across multiple domains, driving technical excellence and scalability. This role mentor others, shape best practices, and influence data architecture. This role is expected to proactively identify opportunities to improve systems, drive reliability, and collaborate with product and business stakeholder to again data strategy and company goals. Responsibilities: Design, build and scale robust, high-performing batch and real-time data pipelines. Drive architectural decisions for transformation logic, storage formats, and schema design. Lead complex data ingestion efforts and mentor peers on performance optimization and scalability. Lead the design and optimization of complex data models and storage architecture, balancing performance, scalability, and usability. Partner with stakeholders to translate business requirements into robust data structures. Contribute significantly to delivery planning and execution, mentor junior engineers on agile approaches, and ensure timely completion of tasks by managing dependencies and escalating delivery challenges. Design and standardize advanced data validation frameworks and testing strategies across platforms. Lead root cause analysis and data quality issues and mentor others on quality best practices. Partner with stakeholders to define SLAs and quality metrics. Leads efforts to automate, monitor, and scale deployment of production-grade data pipelines. Design resilient workflows with retry logic, failure handling, and resource optimization. Proactively address performance and reliability issues and contribute to runbooks and on-call documentation. Lead the creation and maintenance of detailed technical documentation for complex pipelines, data models, and system integrations. Establish and enforce documentation and development standards across projects. Mentor junior engineers on clear, consistent coding and documentation habits. Act as a key technical partner to product, analytics and data science teams. Lead design, discussions, communicate complex data trade-offs with clarity, and proactively surface risks and blockers. Support collaborative planning and mentor junior team members in effective communication and partnership. Required Qualifications: 5-9 years in data engineering, data modeling, and pipeline development Expert in SQL and Python for developing and debugging scalable data pipelines. Deep hands-on experience with Azure and Databricks, including Delta Live Tables and Unity Catalog Skilled with data integration/orchestration tools (SnapLogic, Azure Data Factory, Jenkins) Strong use of infrastructure-as-code tools like Terraform to manage deployment pipelines. Design and optimize API integration in pipelines. Familiar with data quality observability tools such as Soda or similar. Proficient in version control and CI/CD workflows using GitHub. Advanced understanding of dimensional modeling and data warehousing concepts. Comfortable leading efforts in agile environments and strong ownership and collaboration. Pay Rate: $65.00-$70.00/Hour. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Lester Candilado jan.candilado@eclaro.com 6466800168 Lester Candilado | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

100% REMOTE This Jobot Job is hosted by: Katherine Krull Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $220,000 - $300,000 per year A bit about us: Come join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users! Job Title: Sr. Engineering Manager Job Location: 100% REMOTE (Must currently reside in the US) Pay Range: $220k-$300k Base Salary + Equity + Comprehensive Medical/Dental/Vision Benefits (100% paid for by the employer for employees and dependents) Must Have: 5–15 years professional Software Engineering experience MUST EITHER BE (1) 3+ yrs of experience working as a Sr. Engineering Manager for SaaS/infrastructure startup company (Series A/B, ~$5-$25M annual revenue) OR (2) 5+ yrs of experience working as a Sr. Engineering Manager for a larger organization 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Current or previous startup experience (Series A/B, ~$5-$25M annual revenue) Currently, owns the budget for an Engineering team Works with/collaborates directly with a Head of Product and Head of Finance Preferred: Regulated industry experience (financial services, banks, etc.) Snowflake, Databricks, or dbt Why join us? Opportunity to join during a foundational transformation into an AI infrastructure company. Leadership role with high visibility and major influence on future organizational structure. Profitable business with established enterprise customers. Building infrastructure intended to power AI agents across the data industry. Significant opportunity to shape platform architecture and engineering culture during a major inflection point. Job Details High-growth, profitable SaaS company transitioning into an AI infrastructure platform is seeking a highly technical and strategic engineering leader to oversee Engineering operations and partner cross-functionally with Product, Finance, and executive leadership. This is effectively a “Head of Engineering” role with ownership of Engineering leadership, organizational structure, technical direction, and operational execution. The company is evolving from a SaaS solution into foundational infrastructure for AI agents within the data industry. Please note: This position is 60-70% technical, and 30-40% cross-functional management. Key Responsibilities: Engineering Leadership • Lead and manage a globally distributed Engineering organization of ~16 team members. • Own Engineering execution, systems thinking, technical direction, and team structure. • Operate as a strategic and conceptual leader rather than a purely execution-focused Engineering Manager. • Help define and scale the next phase of the company’s Engineering organization following a recent executive restructuring. Cross-Functional Leadership • Partner closely with: ○ Product ○ Finance ○ Executive leadership ○ Operations • Own Engineering budgeting responsibilities and communicate regularly with Finance leadership. • Collaborate heavily with Product teams and broader business stakeholders. Technical & AI Initiatives • Maintain strong technical credibility while operating strategically. • Drive AI adoption and Engineering productivity initiatives using tools such as Claude, Cursor, and related AI workflows. • Help guide API/infrastructure strategy, particularly within enterprise or regulated environments. • Provide leadership across backend/platform technologies (.NET preferred, but Go, Java, and similar backend) The ideal candidate is a Director of Engineering who has been working for a Series A/B, $5-$25M annual revenue startup, whom has remained highly technical but has learned cross-functional management skills, as well - and whom is ready for a change and grow in a new startup environment. Must Have: 5–15 years professional Software Engineering experience MUST EITHER BE (1) 3+ yrs of experience working as a Sr. Engineering Manager for SaaS/infrastructure startup company (Series A/B, ~$5-$25M annual revenue) OR (2) 5+ yrs of experience working as a Sr. Engineering Manager for a larger organization 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Current or previous startup experience (Series A/B, ~$5-$25M annual revenue) Currently, owns the budget for an Engineering team Works with/collaborates directly with a Head of Product and Head of Finance Preferred: Regulated industry experience (financial services, banks, etc.) Snowflake, Databricks, or dbt Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Build Tech for the Trading Desk-NYC This Jobot Job is hosted by: Jim Quirk Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $200,000 - $220,000 per year A bit about us: We are a leading investment management firm specializing in fixed income, structured credit, and specialty finance. Known for our analytical rigor and disciplined approach, we manage capital for institutional investors globally. Our technology team isn't a back-office support function—it is a core competitive advantage. We invest heavily in our people and our tech stack, offering a collaborative environment where technical experts work side-by-side with market-leading portfolio managers and traders. Why join us? Direct Desk Impact: Your code directly drives trading decisions, valuations, and revenue generation every day. Modern Tech Stack: Build end-to-end solutions using Angular, .NET Core, Python, Azure, and Databricks. High Visibility: Work side-by-side with traders, portfolio managers, and executives in a flat structure. Complex Challenges: Solve sophisticated quantitative and architectural problems using massive financial datasets. Fast-Paced Innovation: Skip the corporate red tape with rapid deployment cycles and tactical execution. Elite Peer Network: Collaborate with top-tier financial professionals and senior technologists in structured credit. Job Details Senior Architect & Full Stack Developer – Front Office Technology We are seeking a Senior Architect and Full Stack Developer to join our Front Office Technology team. This role directly supports our Structured Credit and Specialty Finance trading desk. You will work closely with traders and business users to design, build, and maintain robust, high-performance technology platforms that drive valuation, trading workflows, performance tracking, and asset surveillance. Principal Responsibilities Platform Ownership: Manage and enhance asset management analytics and performance reporting platforms. Workflow Automation: Collaborate with business users and technical peers to design and automate front-office workflows. End-to-End Delivery: Design and deliver full-stack solutions, encompassing front-end interfaces, back-end architecture, and deployment pipelines. Data & API Optimization: Review and optimize downstream/upstream data workflows and API integration solutions. Reporting Services: Develop and support critical reporting services for both internal and external deliverables. Production & Desk Support: Manage releases, provide production support for applications, and deliver quantitative support for the daily trading desk risk reports. Technical Requirements Front-End Development: Hands-on web development experience with JavaScript frameworks (specifically Angular), HTML, CSS, and modern web UI layout packages. Back-End & Scripting: Proficiency in C#/.NET (.NET Core), Python, and Node.js configurations. Cloud & DevOps: Practical experience with Docker, Azure, Git, DevOps, CI/CD pipelines, and VS Code. Data & Analytics: Familiarity with Power BI, Analysis Services, MS Azure Databricks, and Notebooks. Databases: Strong database design, querying, and performance-tuning experience with SQL Server or equivalent platforms. Tools: High fluency in Excel for data analysis, fixed-income pricing, and risk attribute tracking. Domain Expertise & Qualifications Fixed Income Knowledge: Strong background in fixed income, whole loans, or structured credit. Financial Datasets: Experience working with Portfolio Management, Mortgage, MBS, CMBS, or Loan datasets. Industry Tools: Familiarity with Bloomberg, Intex (Bond/Loan Level Pricing/Cashflow analysis), CoreLogic, and Agency Loan datasets. Collateral Analytics: Understanding of ABS/RMBS collateral deal performance metrics and third-party risk/pricing libraries. Experience & Soft Skills Experience Level: Typically 7–12 years of relevant experience, but open to high-achieving candidates with a minimum of 5 years of domain-specific experience. Education: Degree in Computer Science or a related technical field; financial certifications are a plus. Leadership: Proven ability to lead technical design and resolve complex architecture issues independently with minimal oversight. Execution: Comfortable operating in a fast-paced, tactical environment and managing multiple urgent projects simultaneously. Communication: Exceptional communication skills with the ability to interact effectively with traders, portfolio managers, and executives. Preferred Background: Prior experience within financial services, private equity, hedge funds, or investment banking front-office teams. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Senior Systems Developer Job Number: 26-00869 Want to be part of the Energy Industry? ECLARO is looking for a Senior Systems Developer for our client in Brooklyn, NY. ECLARO's client operates one of the world's largest energy delivery systems, constantly at the forefront of innovations in developing technology. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: Responsible for architecting and developing business intelligence (BI) solutions, primarily using the Power BI platform. Work with cross-functional teams, collaborate with stakeholders, and create visually compelling reports and dashboards that drive insights for business decisions. This is an opportunity to utilize your expertise in data analysis, warehousing, and visualization to impact key business areas, including financial markets, geospatial data, and enterprise-level reporting. Responsibilities: Develop and maintain Power BI dashboards and reports for various business units, including equity, fixed income, and derivative product tracking. Collaborate with stakeholders to gather requirements and design end-to-end BI solutions, including data models, ETL processes, and advanced DAX calculations. Architect and configure data security, user access, and report sharing across multiple business groups. Lead daily standup meetings and support project tracking, documentation, and report migrations from development to production environments. Create geospatial reports, KPIs, and performance testing dashboards using Power BI's mapping and data visualization capabilities. Develop Paginated Reports with Power BI Report Builder and optimize existing reports to enhance performance and responsiveness. Leverage SQL, PL/SQL, and SSIS for data extraction, transformation, and loading into the reporting database. Perform advanced analysis on data from Google Analytics, Adobe Analytics, and other data sources for attribution modeling and segmentation. Train and mentor new team members on Power BI development and best practices. Support geospatial data visualization and integration for financial, utility, and GIS projects. Document development processes, data sources, and custom transformations for knowledge sharing. Required Qualifications: 7 years of experience in IT with a strong focus on Business Intelligence, Data Warehousing, and Database Applications. Expertise in Power BIand other Power Platform tools such as Power Apps, Power Automate, and DAX. Proven experience with SDLC phases, including systems analysis, development, and implementation. Hands-on experience with SQL, PL/SQL, and ETL processes(SSIS) to transform and visualize complex data sets. Advanced knowledge of data modeling (Star Schema, Snowflake Schema), data visualization, and data transformation techniques. Strong knowledge of SQL Server, Power Query, Power Pivot, and T-SQL. Experience working in Agile Scrum and Waterfall methodologies. Excellent problem-solving and analytical skills, with the ability to work independently and manage multiple priorities. Experience in managing report deployments, access, and maintenance across development and production environments. Familiarity with Azure, PBRS, and Microsoft technology stack (Office365, SQL Server, SharePoint). 5 years of experience in data analysis Ability to intrepid, modify and write scripts and SQL queries Apps/.Net Developer Azure Cloud Data Engineer Azure Databricks Azure Data Factory Azure logic App Power BI Report Server Python advanced Power BI skills develop Power BI dashboards Familiar and proficient with data visualization tools: Power BI, Tableau, or similar Lead/ Power BI Consultant Microsoft Power BI Microsoft Power BI Dev Preferred Qualifications: Experience with geospatial data reporting and integration using Power BI. Familiarity with DAX and advanced data modeling for predictive analytics and statistical forecasting. Advanced SQL development in Oracle SQL Developer ArcGIS Geospatial Analysis Geospatial Data Geospatial Mapping Pay Rate: $75.00-$87.00/Hour If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Heckle Tulab heckle.tulab@eclaro.com 2128047460 Heckle Tulab | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Build scalable enterprise data platforms for Fortune-level clients across AWS and Snowflake This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $180,000 - $205,000 per year A bit about us: We are a leading modern data consultancy helping enterprise organizations solve complex data engineering, cloud, analytics, and AI challenges. Our teams partner with major cloud platforms and technologies including Snowflake, AWS, Azure, Databricks, dbt, Kafka, Fivetran, and more to deliver enterprise-scale solutions for some of the world’s largest organizations. Our company operates in a remote-first environment across the United States, Latin America, and India. We are growing rapidly and continue to invest heavily in cloud engineering, data modernization, AI innovation, and enterprise analytics solutions. Why join us? Competitive compensation: $170K–$225K base salary + bonus Remote-first environment with occasional customer-site travel Work with cutting-edge cloud technologies including AWS, Snowflake, PySpark, Databricks, Kafka, and Airflow Opportunity to own strategic customer relationships and enterprise architecture initiatives Fast-growing organization with strong career growth opportunities Award-winning culture focused on collaboration, autonomy, innovation, and professional development 4 weeks PTO, strong healthcare benefits, 401(k), certifications, and training opportunities Job Details We are seeking a Solutions Architect with a strong hands-on background in Data Engineering, Cloud Architecture, and enterprise-scale modern data platforms. This role combines deep technical architecture responsibilities with customer-facing consulting, solution design, and strategic account leadership. The ideal candidate will have strong expertise in AWS, PySpark, and Snowflake while also being comfortable operating as a trusted advisor for enterprise clients. What You’ll Do: Technical Leadership Architect and design enterprise cloud-native data platforms and engineering solutions Lead solution design, discovery sessions, assessments, and technical roadmaps Design scalable, secure, and high-performing data solutions leveraging AWS, Snowflake, and PySpark Guide implementation teams through complex data engineering initiatives Mentor engineers and architects across multiple customer engagements Lead technical discussions around streaming, orchestration, lakehouse, migration, and analytics architectures Client Engagement & Strategic Consulting Build strong executive and stakeholder relationships across enterprise accounts Identify opportunities to expand services and deepen strategic partnerships Lead technical presentations, architecture reviews, RFP responses, and solution proposals Translate complex business requirements into scalable technical solutions Act as a trusted technical advisor for enterprise customers What You Bring: 8+ years of experience in Solutions Architecture, Data Engineering, or client-facing cloud architecture roles Strong hands-on expertise with: o AWS o PySpark o Snowflake Strong experience designing enterprise cloud-native data platforms Advanced SQL, data modeling, and data engineering experience Experience with cloud-native technologies such as Kafka, Airflow, Databricks, dbt, Fivetran, or Matillion preferred Strong client-facing communication and consulting experience Experience leading technical teams and mentoring engineers Strong Python development experience preferred Bachelor’s degree in Computer Science or related field preferred Important Requirement Candidates must be authorized to work in the United States without sponsorship now or in the future Unable to provide visa sponsorship or C2C arrangements for this opportunity Preferred Background: Experience within consulting, professional services, or customer-facing technical environments Experience supporting enterprise-scale cloud migrations and modernization initiatives Snowflake or AWS certifications strongly preferred Experience with streaming, lakehouse, medallion architecture, or AI/ML data platforms preferred Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Job Description Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Sr Data Engineer- Agentic AI for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Sr Data Engineer- Agentic AI Job Category: Information Technology Industry: Medical Device Industry Job Location: FULLY REMOTE (all over US) Zip Code: 95014 Top 3/5 Skills: · Agentic AI depth, Orchestration, LangGraph, CAPA · Claude/Anthropic: Claude production expertise · MCP Server, Predictive ML/statistical analytics · Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00 /hr. – $82.00/hr. Job Responsibilities Title: Sr Data Engineer- Agentic AI Location: San Diego, CA 92121 (Remote Role) Duration: 06- Months contract with possible extension Client Domain: Medical device industry Job description: Responsible to support the AI-powered data analytics platform. This individual will contribute to advance data engineering pipelines, AI agent development, and cross-functional quality analytics across different areas of the business such as quality, product engineering, reliability, field service and business strategy. Agentic AI for Manufacturing Intelligence Deep expertise designing and deploying agentic AI systems using agentic frameworks and orchestrators to reason across manufacturing, quality, and post‑market data, execute multi‑step analysis, self‑correct, and drive decisions with limited human intervention. Production LLM Expertise (Claude‑Based) Production‑grade experience using Claude LLMs within orchestrated agent workflows, including prompt management, tool calling, structured outputs, guardrails, and audit‑ready logging. Unstructured → Structured Manufacturing Data Transformation Strong expertise building AI‑driven data pipelines that transform unstructured medical device data (complaints, CAPAs, investigations, service notes, SOPs, PDFs, emails) into structured, analytics‑ and review‑ready datasets. AI‑Driven Quality & Failure Data Extraction Experience developing orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Core ML & Statistical Analysis for Manufacturing Solid foundation in predictive modeling, clustering, time‑series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals, and failure trends. Manufacturing Data Platforms & Engineering Advanced proficiency with Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large‑scale manufacturing, quality, and post‑market data, supporting downstream analytics and AI systems. Quality, CAPA & Root Cause Analytics Demonstrated ability to correlate complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data‑driven root cause and investigation approaches. Enterprise & Regulated Systems (SAP‑Centric) Hands‑on experience integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance in regulated environments.

Position: MarTech Analytics Analyst Location: Open to remote Duration: 3+ Months with possibility of extension A contract MarTech Analytics Analyst to join the Analytics Platform & Enablement organization at client. In this role you will support the migration and rebuild of existing Adobe Analytics reports into Customer Journey Analytics (CJA), build and validate clickstream-based reporting for marketing technology workstreams, and help standardize repeatable data validation patterns across MarTech reporting pipelines. This is a hands-on execution role. You will work alongside a senior web analytics lead who owns the MarTech analytics workstream end-to-end. Your primary focus will be taking on the high-volume validation, dashboard migration, and QA work that currently bottlenecks that workstream — freeing capacity for architecture decisions, stakeholder engagement, and new capability buildout. You will not be expected to define strategy or own stakeholder relationships, but you will need to operate independently once given clear requirements. This position reports to the Leader of Analytics Platform & Enablement and works within the Customer Profile & Identity (CPI) sub-team. . About the Role MarTech Reporting & Migrations Migrate and rebuild existing Adobe Analytics (AA) reports and dashboards into Customer Journey Analytics (CJA) — translating AA segments, calculated metrics, and workspace projects into CJA dataviews and Analysis Workspace equivalents Build and maintain clickstream-based reports using Adobe Analytics and CJA — supporting web traffic attribution, landing page performance, cart conversion analysis, and campaign measurement across 40+ locale-language combinations Support XDM schema review and dataview configuration in CJA — validating that migrated dimensions and metrics produce consistent results between AA and CJA Create and maintain pre/post comparison dashboards for site migrations and feature rollouts — following a wave-based rollout methodology across international locales with baseline measurement, UAT validation, and post-launch monitoring Build reporting dashboards for Braze email campaigns, landing page templates, and MarTech experiments — including IP warming tracking, A/B test result visualization, and end-to-end campaign performance reporting. Build these dashboards in Power BI with scheduled data refresh from Databricks Support power user training and internal enablement by documenting CJA dataview logic, creating report templates, and producing reference guides for self-service reporting by marketing and product stakeholders Assist with A/B test dashboard setups for Cro-Metrics and other experimentation platforms — configuring analytics tracking, validating event firing, and building result summaries Data Validation & QA Perform end-to-end data validation between Databricks analytical tables and front-end dashboards — confirming that aggregated clickstream data, sub-channel definitions, and campaign metrics match across layers Execute pre/post migration validation checks when reports move from AA to CJA or when underlying data pipelines change — documenting discrepancies and working with the analytics lead to resolve them Validate clickstream Silver-layer tables in Databricks against Adobe Analytics source data — checking row counts, metric totals, dimension cardinality, and sub-channel classification accuracy Help standardize repeatable validation patterns for MarTech reporting — creating reusable SQL validation queries, building comparison templates, and documenting expected thresholds and tolerance ranges Validate Braze campaign data ingestion pipelines — confirming that email send, open, click, and conversion events flow correctly from Braze into Databricks and downstream reporting Perform UAT verification for new analytics deployments — testing event firing in Adobe Analytics (e.g., e-commerce events, custom events), verifying data collection accuracy, and signing off on launch readiness Investigate and document data quality issues — tracing discrepancies through multiple data layers (Adobe Analytics → AEP → Databricks → Dashboard) and producing clear write-ups of root cause and resolution Operational Support Contribute to weekly web metrics review — pulling standard metrics, flagging anomalies, and preparing summary materials for the analytics lead Support ad-hoc analysis requests from the MarTech and marketing teams — pulling data from Adobe Analytics, CJA, or Databricks to answer time-sensitive questions Maintain sub-channel and channel definition documentation — updating classification logic as new traffic sources or campaign types are introduced About You You have 5+ years of experience in web analytics, digital analytics, or marketing analytics You have demonstrated expertise in Adobe Analytics — including Report Suites, Analysis Workspace, segments, calculated metrics, classification rules, and Processing Rules. This is a core requirement for the role. Experience with Customer Journey Analytics (CJA) is strongly preferred You have working knowledge of Adobe Experience Platform (AEP) concepts — XDM schemas, datasets, and dataviews. You do not need to be an AEP architect, but you should understand how data flows from collection to reporting You can write SQL at an intermediate-to-advanced level — including CTEs, window functions, and aggregations — and have experience querying data in Databricks or a similar lakehouse platform You have experience with data validation and reconciliation — comparing metrics across source systems, identifying discrepancies, and documenting what you find clearly enough for others to act on You have experience building dashboards and reports in Power BI — including data modeling, DAX measures, and scheduled refresh. Additional experience with CJA Analysis Workspace or Tableau is a plus You are comfortable working with clickstream / web behavioral data — page views, visits, events, conversion funnels, and traffic attribution You are detail-oriented and methodical — validation and QA work requires someone who catches inconsistencies others miss and documents their findings systematically You can work independently once given clear requirements — you do not need daily direction but will proactively flag blockers and ask clarifying questions when specifications are ambiguous You have experience working in agile environments — managing tasks across 2-week sprints, estimating effort in story points, and communicating progress through Jira Nice to Have Experience with Braze or other email/push marketing platforms and their analytics integrations Experience with A/B testing platforms (Cro-Metrics, Adobe Target, Optimizely) and statistical test interpretation Familiarity with affiliate marketing tracking (Impact Radius or similar) and SEO/organic traffic attribution Experience with international / multi-locale web analytics — understanding how locale, language, and geo impact reporting logic Python scripting for data validation or automation tasks

Job DescriptionAbout Monstro Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you'll feel at home here. About the Role We are hiring a Managing Director, Strategic Accounts to personally lead the pursuit and closing of Monstro's largest, most strategic engagements with Tier-1 global banks. This is a senior individual contributor role — a quota-carrying operator-seller who runs the room and closes the deal. It is not a sales management role. Target deals are multi-year transformation programs and enterprise platform deployments in the $25M–$100M+ ACV range. You will work shoulder-to-shoulder with the CEO and CRO to win Monstro's earliest transformational partnerships with the world's most influential financial institutions. This is an early enterprise hire at Monstro. The narrative, the GTM motion, the discovery framework, the pricing posture, and the deal playbook are still being shaped. You will help shape them — not inherit them. We are looking for a seller who is energized by that, not slowed down by it. Why This Role Matters The global banking industry is undergoing a once-in-a-generation infrastructure shift. A handful of strategic, long-term partnerships will determine market leadership in governed financial intelligence — and the seller who lands them will be the person who defines how Monstro shows up to a Tier-1 bank for the next decade. Each Tier-1 win compounds: it defines the product roadmap, validates the category, and creates reference accounts that unlock the next wave of global opportunities. The output of this role is not a forecast; it is the first set of marquee logos that make Monstro inevitable in the institutional market. What You'll Do Own the deal, end-to-end • Personally lead pursuit, qualification, and close of multi-year transformation programs and enterprise platform deployments ($25M–$100M+ ACV)., • Run discovery, build the business case, drive the technical evaluation alongside Product and Engineering, negotiate commercial terms, and bring the deal across the line., • Own the forecast on your accounts with discipline. No surprises, no padding, no hopium. Build pipeline, don't just inherit it • Develop pipeline through a deliberate, repeatable process — account mapping, cold and warm outreach, executive briefings, partner channels, events, and content — not solely through your personal network., • Use existing relationships as accelerants where they exist; build new ones where they don't. Comfort with cold development is required, not optional., • Maintain a working pipeline of strategic pursuits with clear next steps, identified economic buyers, and documented mutual close plans. Engage at the executive level • Build and sustain C-suite relationships (CEO, CRO, CIO, CTO, Head of Data, Head of Wealth, Head of Risk) and convert them into active executive sponsorship inside the bank., • Run the room in executive sessions — frame the problem, defend the architecture, handle objections from procurement, risk, and InfoSec on the spot. Help shape the GTM motion • Translate every deal cycle into reusable artifacts: ICP refinement, qualification criteria, objection libraries, competitive positioning, ROI models, and proposal templates., • Partner with the CEO, CRO, and Product on messaging, pricing structure, and packaging — bring the voice of the institutional buyer back into the building., • Help define what the enterprise sales motion looks like as Monstro scales. Your deals are the source material. Navigate procurement, risk, and compliance • Drive complex procurement, InfoSec, regulatory, and legal review cycles in parallel with commercial negotiation. Anticipate the gates; don't get caught by them., • Coordinate Legal, Security, and Compliance internally to clear approvals on first submission wherever possible. Hand off cleanly to delivery • Orchestrate the transition from signature to deployment with Product, Engineering, and Customer Success so the bank's first 90 days are a credit to the deal, not a complaint about it. Represent Monstro externally • Be a credible voice in the market — executive briefings, industry forums, private dinners, and selective public speaking that elevates Monstro's positioning with Tier-1 institutions.What Success Looks Like, • Within 6 months: a qualified, advancing pipeline of 6–10 named Tier-1 pursuits, each with an identified economic buyer, executive sponsor, and documented mutual close plan., • Within 12 months: active executive sponsorship at 6–10 priority Tier-1 banks, generated through a mix of existing relationships and new ones you built from scratch., • Within 18 months: 2–4 closed transformational partnerships in the $25M–$100M+ ACV range, contributing $50M–$200M in total contract value., • Forecast accuracy within ±10% on a rolling 90-day basis from month 9 onward., • ≥60% first-cycle clearance on InfoSec, regulatory, and procurement reviews through early alignment with internal Legal, Security, and Compliance., • Reference-grade outcomes on closed accounts: ≥50% of customers willing to take peer reference calls within 6 months of go-live., • Tangible contribution to the GTM motion: at least one durable artifact (pricing framework, qualification model, objection library, ROI calculator, or competitive playbook) shipped from your deal experience and adopted by the broader team., • At least two product enhancements influenced by Tier-1 deal cycles you ran, prioritized into the roadmap within 12–18 months.What We're Looking For, • Senior individual contributor, not a sales manager. You have personally carried a number and personally closed $25M+ ACV enterprise technology deals into Tier-1 or large regional banks. References will validate that you, specifically, drove those wins., • Demonstrated repeatable sales motion. You can walk through how you build pipeline from cold, how you qualify, how you advance, and how you close — with specifics, not slogans. You have closed meaningful deals into accounts where you had no pre-existing relationship at the start of the cycle., • End-to-end ownership through delivery. You have sold technical products into Tier-1 banks and stayed engaged through implementation. You understand what gets a deal signed and what gets it deployed — and that those are different problems., • Executive credibility in financial services. You have active, working relationships with senior decision-makers at Tier-1 banks (CIO, CTO, CRO, CDO, Heads of Data / Wealth / Risk / Transformation). You treat your network as an accelerant, not the whole strategy., • Technical literacy. Comfortable engaging substantively on core banking infrastructure, cloud, data architecture, APIs, AI governance, and security/compliance frameworks. You can hold a technical conversation without a sales engineer in the room., • Domain depth. Real working knowledge of banking infrastructure, regulatory regimes, InfoSec processes, and how procurement and risk actually work inside a Tier-1 institution., • Operator mindset. You are energized by ambiguity. You have sold at an early stage before — ideally where the deck, the pricing, and the case studies didn't fully exist yet — and you helped build them. You write your own follow-ups, run your own discovery, and don't wait for enablement to ship., • Background. Likely an early or top-performing enterprise seller at a company that sold infrastructure into banks (e.g., Palantir, Snowflake, Databricks, Bloomberg, Oracle Financial Services, FIS/Fiserv, Finastra, Temenos, MongoDB, Confluent, or a comparable financial-services-focused enterprise software business). The pattern we care about is what you closed and how, not the logo on your resume., • Global fluency. Comfortable operating across major financial hubs (US, UK, Europe, Middle East). Willing and able to heavily travel internationally., • Voice in the market. Willing and able to represent Monstro externally — executive briefings, industry events, selective public speaking — in a way that compounds pipeline.How We Will Evaluate You Our process is calibrated specifically to distinguish operator-sellers from relationship-only hires. You can expect to: • Walk us through 2–3 specific deals end-to-end, including how you built pipeline, who the economic buyer was, what nearly killed the deal, and what your specific role was in saving it., • Show how you would build a 90-day plan for a named Tier-1 bank where you have no pre-existing relationships., • Pressure-test our current narrative and pricing posture and tell us what you would change., • Talk through how you would build the repeatable motion alongside leadership — not just execute on a pre-existing one.Compensation This is a senior individual contributor role with executive-level total compensation, structured as a true closer's seat — 50/50 base/variable split, with uncapped accelerators designed so that top performers materially out-earn OTE on the strength of closed deals. New York • Base Salary: $275,000 – $325,000, • On-Target Variable: $275,000 – $325,000 (50% of OTE), • On-Target Earnings (OTE): $550,000 – $650,000, • Realistic Top-Performer Earnings: $1,500,000 – $2,500,000+ annually at sustained over-attainment with one or more Tier-1 transformational wins, • Equity: 0.25% – 0.50% (pre-Series-A; subject to Board approval and standard four-year vesting with a one-year cliff) Plan Mechanics • Commission accelerates above 100% of plan and accelerates again above 150%, with no cap on annual earnings., • Additional milestone kickers apply on first-of-kind Tier-1 wins, multi-year contract structures, and named marquee logos that establish reference accounts for the next wave of pursuits., • The plan is built to reward closed ACV, not activity. A single transformational $50M–$100M+ ACV win, structured and closed, can drive earnings well into seven figures on its own.Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background).Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

Our client is a hedge fund in NYC looking for a talented Data Engineer to join their team. Qualified candidates will have 5-10+ years of professional experience. Specific hands-on experience with Python, SQL, AWS, building data pipelines, ETL processes, and any exposure to Databricks would be a plus. Financial services experience is required, and knowledge of various asset classes is preferred. BSCS or advanced degree required. Applicants must have excellent communication skills and be able to interact with various teams and stakeholders within the organization. This role is hybrid on-site in New York, NY. Competitive base salary and performance-based bonus, as well as comprehensive benefits. Send a resume to nyjobs@cypressg.com for consideration.

Role - Senior Solution Architect (Data & AI Solution Specialist) Location - NJ/NYC / Dallas/Charlotte/Atlanta/Raleigh Job type – Fulltime Must Have Technical/Functional Skills A senior Solution architecture specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution. Must Have skills : • 15+ years of experience in data architecture, data engineering, and analytics platforms, • Experience across AWS, GCP, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services with depth expectations as below: o Deep experience on one more of AWS, GCP, Azure o Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt o Experience in open-source technologies based Enterprise Data architecture • Strong consulting experience in large BFSI transformation programs, • Hands on experience with preparation for Data Analytics Solution architecture, client presentations and Proof of concepts development, • Design and implement AI and Gen AI solution for data value chain, • Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation, • Strong background in data integration, reporting, and big data ecosystems, • Experience working in regulated environments with data governance and compliance requirements, • Excellent stakeholder communication and leadership skills Roles & Responsibilities • Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches., • Solution Architecture & Design: Develop end-to-end cloud-native data & AI architectures – spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards. o End-to-End System Design: Mapping out the precise technical lifecycle of data, including pipeline orchestration, data warehousing, and API integrations o Technology Selection: Vetting and selecting the optimal tech stack, such as specific cloud services (e.g., AWS, Azure, GCP), data warehouses (e.g., Snowflake, BigQuery), or streaming engines (e.g., Kafka) o Data Modeling: Designing detailed conceptual, logical, and physical data models (like Data Vaults or Star Schemas) to ensure optimal query performance and data integrity. • Security & Governance: Baking strict data privacy, compliance (e.g., GDPR, HIPAA), and access control frameworks directly into the architecture., • Consulting Leadership: Own the technical solution in Consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates. Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities., • Demonstrations & Proof of Concept (PoC): Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence., • Collaboration & Handover: Work closely with internal teams – sales, delivery managers, domain consultants, and cloud partners – to ensure proposed solutions are deliverable and aligned with available capabilities. Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations. Provide early-stage support to resolve any design challenges., • Thought Leadership & Best Practices: Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides., • Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients., • Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms., • Design and implement AI and Gen AI solution for data value chain, • Design data integration pipelines (batch, real-time, big data) and analytics platforms, • Enable enterprise reporting and BI solutions for regulatory and business needs, • Define and implement data governance, quality, metadata, and lineage frameworks, • Act as a trusted advisor to senior business and IT stakeholders, • Participate in Data Analytics Architecture and Delivery reviews and provide recommendations, • Mentor junior solution architects and stay up to date with emerging cloud data technologies (e.g. Data Lakehouse, DataOps / MLOps, generative AI) to continuously enhance proposal quality., • Mentor teams and contribute to solutioning and pre-sales activities

About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquarters in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents. Position: Senior Data Engineer Location: NYC, NY Employment Type: Full-Time Mode – Hybrid (2-3 Days from Office) Responsibilities • 8–12 years of experience in data engineering, data architecture, or analytics engineering, • Strong experience with Databricks ecosystem (Spark, SQL, PySpark, workflows), • Expertise in:, • Data Warehousing & Modeling (OLTP/OLAP, dimensional modeling, medallion architecture), • ETL/ELT pipeline development and orchestration (Airflow or similar tools), • Advanced proficiency in SQL and Python (Scala/Java/R is a plus), • Experience designing and delivering enterprise-grade data architectures, • Strong understanding of performance tuning, query optimization, and large-scale data processing, • Proven ability to translate business needs into scalable technical solutions, • Experience leading teams and working in client-facing environments, • Excellent communication, problem-solving, and stakeholder management skills

You’ve got the skills, the curiosity, and the hunger to grow. Now it's time to make a real impact. We’re a growing global tech consultancy. Some of the world’s biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life. We’re the home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work. We're on the hunt for people who love solving problems, thinking critically and staying curious. If that sounds like the kind of place you’d thrive in, keep reading. What You’ll Get We know you're bringing the skills, the passion and the drive. What we bring is the platform to help you go further. At Vivanti, you're not just taking a job, you're investing in your growth. Here’s a taste: • A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills., • Access global businesses: Work with some of the world's biggest brands, • IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects., • All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS. You’ll use it, play with it and maybe even break it (responsibly)., • Senior leadership who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end., • Serious learning support: Paid certs, weekly training that you'll lead and attend, guilds, hackathons, mentoring and more., • Progress that’s transparent: Annual reviews based on 360° feedback, not vague vibes. Clear goals, solid feedback and real growth., • Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives., • Real connection: From Friday socials to annual team building days. - we work hard and play harder. What We’re Looking For We're less about ticking boxes and more about whether you'd thrive in this environment: • Do you get excited about helping clients move forward?, • Do you want to learn from people who are really good at what they do?, • Are you keen to experiment with the latest tools and ideas?, • Can you balance working independently and being a great teammate? If you said “yes” more than once, let’s talk. As a Data Engineer (Principal Consultant) you’re the builder, making sure data flows cleanly and reliably. You will get to: • Design and build pipelines to ingest, transform and load data, • Set up data lakes and warehouses for scalable access, • Ensure systems are secure, reliable and cost-effective, • Collaborate with analysts, ML engineers and platform teams You will work with: • Python, Spark, Airflow, • Snowflake, Databricks, BigQuery, Neo4J, • dbt, Fivetran, Terraform, • Azure, GCP, AWS Perks & Benefits Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing, professionally and personally. Here’s what’s waiting for you: • Vivanti Academy: our knowledge base and IP curation platform, • Mentoring Program: with a Senior Support Lead, • 360° Progress Reviews: honest feedback, not fluff, • Guilds & Regular Training: learn from your peers, • Paid Certifications: across all major technologies, • Hackathons & Innovation Days: challenge yourself, build cool stuff, • Kudos & Recognition Programs: great work doesn’t go unnoticed, • Socials & Team Days: Book Club, Data & Drinks, Team Building days, and more Final Word If you're looking for the place where your growth will go into overdrive, where you'll work with great humans, get access to cutting-edge tools and genuinely enjoy the ride - Vivanti is for you!

Experimentation Analytics Lead Location: NYC or NJ (Hybrid) Work Model: Hybrid (minimum 3 days onsite) Salary: $110,000-$130,000 + Bonus This position is not open for c2c and are unable to provide sponsorship at this time or in the future About the Role A leading media and entertainment organization is seeking an Experimentation Analytics Lead to drive A/B testing strategy across a portfolio of high-traffic digital brands spanning news, sports, streaming, and entertainment. This role will partner closely with Product, Analytics, Marketing, Editorial, Growth, and Engineering teams to design and scale experimentation initiatives that improve engagement, conversion, and overall digital performance. Key Responsibilities • Own and prioritize the experimentation roadmap across product, growth, and marketing initiatives, • Design, execute, and analyze A/B and multivariate tests end-to-end, • Translate business questions into measurable hypotheses and experimentation frameworks, • Identify trends and actionable insights across multiple concurrent tests, • Build scalable experimentation best practices and governance processes, • Present findings and recommendations to technical and business stakeholders Qualifications • 5+ years of experience in experimentation, product analytics, or related quantitative fields, • Strong understanding of hypothesis testing, experimental design, and causal inference, • Hands-on experience with experimentation platforms such as Amplitude or similar tools, • Strong SQL skills plus experience with Python or R, • Experience with tools such as Snowflake, Databricks, Adobe Analytics, Google Analytics, Tableau, Looker, or Omni, • Strong communication and cross-functional stakeholder management skills This is a highly visible opportunity to help shape experimentation strategy and influence data-driven decision-making across large-scale consumer platforms.

At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big together. We foster a culture built on five core values: • Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others., • Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious., • Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt., • Passion for Positivity: We greet each day with warmth and possibility., • Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose. Data Analyst – Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting requirements while supporting short-term ad-hoc needs. This role partners closely with Data Product Managers to ensure data accuracy, usability, and alignment with enterprise standards. Data Analysts play a critical role in transforming raw data into actionable insights, enabling business teams to make informed decisions and optimize performance. This role is part of the Data Product Team supporting our Restaurant & Catering Operation Success at CAVA: At CAVA, Individual Contributors focus on delivering high-quality work, owning tasks, and contributing to team success. We look for team members who take initiative, collaborate across teams, and stay curious about how their work supports broader goals. What You’ll Do: Analytics & Reporting • Query, clean, and transform datasets to support reporting and analysis., • Validate data accuracy for new metrics, dashboards, and analytical assets., • Support ad-hoc analytics requests and long-term strategic reporting needs. Visualization & UX • Create interactive dashboards and reports aligned with business needs and UX best practices., • Ensure consistency in branding using enterprise visualization templates., • Optimize dashboards for scalability, usability, and performance. Collaboration & Governance • Work closely with Data Product Managers as domain SMEs to understand requirements., • Partner with Data Engineers to align on logic and data source integration., • Define and implement data quality checks to ensure compliance with governance standards., • Collaborate with product owners to iterate designs and improve user experience. The Qualifications: Required • 2–5 years of experience in data analysis or business intelligence., • Proficiency in SQL (or python) and experience with data querying and transformation., • Strong skills in data visualization tools (Tableau, Power BI, Looker)., • Ability to work with structured and semi-structured data., • Excellent attention to detail and problem-solving skills. Preferred • Experience with Python or R for data manipulation and analysis., • Familiarity with cloud-based data platforms (Snowflake, Databricks)., • Understanding of data governance and quality assurance practices. Physical Requirements: • Ability to maintain stationary position to be able to operate a computer and other office equipment, • Must be able to identify, analyze and assess details, • For certain positions, must be able to occasionally move or transport items up to 50 pounds, • Ability to communicate with others and exchange information accurately and effectively, • Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable, • Ability to work in a constant state of alertness and in a safe manner What we offer: • Competitive salary, plus bonus and long-term incentives*, • Early Wage Access!, • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community, • Health, Dental, Vision, Telemedicine, Pet Insurance plus more!, • 401k enrollment with CAVA contribution, • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*, • Free CAVA food, • Casual work environment, • The opportunity to be on the ground floor of a rapidly growing brand, • All exempt and non exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired., • Please note that visa sponsorship is not available., • The posting range is an all cash range. *Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept” As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law. California applicants: Please visit our and to learn about our information practices in the job application and employment context.

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . As Director of Product Marketing, you will own the platform-level narrative that anchors the Platform for AI Success - the story that ladders every Dataiku capability to a single, differentiated category position. You will be the steward of Dataiku's platform messaging, the senior PMM voice with industry analysts, and the launch lead for the most strategically important product moments on the roadmap. You'll partner closely with the VP of Product Marketing, the Product organization, and Sales leadership to ensure the platform narrative shows up consistently across analyst briefings, executive keynotes, customer conversations, and field enablement. You'll also lead flagship product launches that shape Dataiku's category position and require a senior PMM leader who can translate platform vision into market-ready storytelling. This role is for a builder who can carry the torch on existing platform positioning while extending it into new markets. Dataiku is an established category leader with strong analyst recognition; your job is to sharpen and extend that position, not start from scratch. Core Responsibilities Platform Narrative - Own the master messaging architecture and AI Success Formula across every product, persona, and campaign. Drive differentiated positioning and maintain coherence across peer PMMs. Flagship Launches - Lead end-to-end GTM for Dataiku's most strategic launches: positioning, messaging, sales enablement, analyst briefings, and integrated campaigns. AI Governance - Own positioning for Dataiku's governance framework and translate evolving regulation (EU AI Act, NIST AI RMF) into sales talk tracks and customer assets. Analyst Relations - Lead Gartner, Forrester, and IDC engagement including MQ/Wave briefings and strategic inquiries. Executive Storytelling - Own the company narrative deck, keynote content, and competitive positioning for high-stakes customer and event conversations. Success Profile 8-12 years B2B Product Marketing experience at a data, AI, ML, or enterprise software company; experience at Databricks, Snowflake, DataRobot, Alteryx, or a hyperscaler AI org is a plus Proven track record owning platform-level messaging for a multi-product company Direct experience leading flagship launches that shaped category position Hands-on ownership of top-tier analyst engagements (Gartner MQ, Forrester Wave) Deep fluency in the AI/ML stack - LLMs, agents, MLOps, governance Strong writer and communicator across technical and executive audiences Strategic operator; builder mindset; direct, low-ego collaborator Skills & Competencies Deep expertise in B2B platform messaging, competitive positioning, and category creation. Strong fluency in the AI/ML technology stack. Comfortable discussing LLMs, agents, MLOps, governance frameworks, and the broader enterprise AI landscape with technical and executive audiences alike. Excellent written and verbal communication. You write narratives that move markets and brief analysts, executives, and customers with equal credibility. Sophisticated understanding of how to translate evolving regulation into business-relevant positioning. EU AI Act experience is a meaningful plus. Strategic operator who can simultaneously hold a long-arc category position and ship near-term launches against tight timelines. Experience contributing to or owning pricing and packaging narrative is a plus, particularly for consumption- and usage-based commercial models. #LI-LP1 Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$168,000—$250,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Software Development Manager (IG Data) at Capital Group." You are a strong player-coach with ability to lead a greenfield build-out. While you will lead and grow a team of engineers, you will also be heavily hands-on in both design and code through the early phases of this platform. You can expect to spend meaningful time in the IDE, in design docs, and in architecture reviews alongside the team you are building. We expect this hands-on posture to evolve as the team and platform mature, but the early phase of this role will require a strong individual contributor presence from this leader. We are building and evolving a modern, scalable data and analytics ecosystem to support missioncritical investment and investorfacing applications. As a Software Development Manager within IG Data, you will lead a team of software and data engineers responsible for an analytics platform and API layer that delivers reliable, highperformance, and timesensitive insights to Capital Group's business and technology partners. In this role, you will partner closely with business leaders, product managers, and engineering peers to shape product vision and translate business objectives into scalable, secure, and wellengineered data solutions. You will apply strong technical judgment and a systemsengineering mindset to ensure platforms are performant, resilient, and built for longterm sustainability. You will play a key role in the design and implementation of Capital Group's nextgeneration data platform, leveraging modern cloudnative technologies and tools such as AWS, Databricks, Kubernetes, and workflow orchestration frameworks. You are a leader who ensures teams deliver with speed and quality while continuously improving engineering practices, data reliability, and developer productivity. • Lead, mentor, and develop a team of software and data engineers, fostering a culture of engineering excellence, collaboration, and continuous improvement., • Partner with product, analytics, and platform teams to define data strategy and translate business requirements into scalable technical solutions., • Drive hiring, onboarding, performance management, and career development for a growing engineering organization., • Design and oversee cloudnative data architectures on AWS, leveraging services such as EKS, S3, RDS/Aurora PostgreSQL, and related services., • Establish best practices for infrastructureascode using tools such as Terraform to ensure repeatable, auditable deployments., • Manage cost optimization, security, and performance across cloud data workloads in partnership with platform engineering teams., • Lead the design and operation of containerized data workloads on Amazon EKS, ensuring scalability, resilience, and efficient resource utilization., • Define standards for deploying and operating data services on Kubernetes, including autoscaling, resource governance, and CI/CD integration, • Architect and guide the development of datacentric APIs that provide reliable, lowlatency access to downstream consumers., • Champion observability practices, including logging, monitoring, and alerting across data services., • Own and evolve the Databricks platform, including cluster management, governance, and optimization of Spark workloads., • Drive adoption of dbt as the standard transformation layer, establishing modeling, testing, and documentation standards., • Oversee workflow orchestration using Apache Airflow, ensuring pipelines are reliable, maintainable, and aligned with SLA expectations., • Establish data quality frameworks including validation, anomaly detection, and monitoring across critical data products., • Drive execution through effective software development methodologies, continuous process improvement, and thoughtful system refactoring, • Own velocity, quality, and reliability metrics, recognizing they are complementary and mutually reinforcing., • Resolve root causes of systemic issues across technology, process, and team dynamics., • Contribute to product roadmaps by balancing nearterm business impact with longterm platform health and scalability., • You have demonstrated success leading software and data engineering teams delivering scalable, productiongrade platforms., • You bring strong experience designing and operating cloudnative data platforms on AWS, including Kubernetesbased workloads and API services., • You possess deep technical knowledge of modern data stacks, including Databricks, dbt, Airflow, relational databases, and SQL performance optimization., • You apply a systemsengineering mindset, understanding endtoend data flows and driving improvements across ingestion, processing, and serving layers., • You have a strong track record of delivering commitments, balancing speed, quality, and longterm maintainability., • You have ~7+ years of experience with ~3+ years in leading and mentoring engineers, supporting career growth, and building highperforming, engaged teams., • You have a bachelor's degree in information technology, computer science, or a related field., • You demonstrate sound judgment, strong communication skills, and the ability to influence across product, engineering, and business stakeholders., • You value continuous learning and regularly evaluate new tools and technologies to improve engineering effectiveness and data capabilities. We are an AI-first engineering team. AI is woven into how we plan, design, build, review, test, and operate - not bolted on as a side experiment. We expect every member of this team, including its leader, to be fluent and opinionated about working alongside AI coding agents and to continuously raise the bar on how we use them. Specifications and designs are the source of truth. Code is an artifact of intent, not the intent itself. We invest heavily in writing precise, reviewable specifications and design documents because: • They are how humans align on what we are building and why, before code is written., • They are how AI agents are scoped, constrained, and evaluated - a sloppy spec produces sloppy output, regardless of model., • They are how we maintain long-term platform health: durable artifacts that outlive any single implementation. Our AI-native SDLC means: • Spec-first development - we author and review specifications and design docs as rigorously as we review code. PRs without a corresponding spec or design rationale are the exception, not the norm., • Agent-assisted engineering - engineers routinely delegate implementation, refactoring, testing, and investigation work to AI coding agents, and are accountable for the quality of what those agents produce., • Measurable AI workflows - when AI is part of a workflow or product surface, we measure it. We build evaluation harnesses, track regressions, and treat prompt and context engineering as first-class engineering work., • Documentation as infrastructure - READMEs, ADRs, runbooks, and skill files are written to be consumed by both humans and agents. Clarity is a load-bearing requirement, not a nice-to-have., • Continuous tool evaluation - we expect leaders on this team to actively evaluate new AI tools, models, and workflows, and to drive adoption of what works. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. New York Base Salary Range: $240,519-$384,830 Seattle Base Salary Range: $226,893-$363,029 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits _. • Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Lead Data Architect at Capital Group." As a Lead Data & AI Platform Architect, you will serve as the technical domain expert on foundational data, integration, and AI infrastructure technologies. You will steer technology strategy, define target state architectures, and build reference implementations for scalable, resilient data platforms optimized for Generative AI and Machine Learning. You will also be responsible for identifying and evaluating emerging technologies beneficial to this domain. You will be expected to possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality. This position requires a practical approach to testing and validating solutions in lab environments, ensuring that data pipelines are AI-ready, performant, and secure. You will act as a thought leader in data architecture, providing guidance on governance, security, and compliance. You will serve as the technical authority on foundational data and integration technologies, driving the technology strategy and target state architecture to support business goals. You will also evaluate emerging technologies, guiding the organization to adopt innovations that deliver value while minimizing disruption to end-users. Collaboration and thought leadership will be essential as you influence architects, engineers, and stakeholders to achieve strategic goals. We work with our business partners and the rest of IT to plan, design, enable and mature the capabilities needed for Capital Group to accomplish our mission of delivering superior, long-term investment results and high-quality service. "I am the person Capital Group is looking for." • You have a bachelor's degree in Computer Science, Engineering, or a related technical field or equivalent experience., • You have demonstrated ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns., • You have at least 10 years of deep architecture and engineering experience with expertise in: Cloud-native data platforms (Snowflake, Databricks, Dremio), LLM Orchestration (LangChain, LlamaIndex), and AI development frameworks., • Hands-on experience with modern patterns, including domain-driven design, event-driven architecture, RAG architectures, Agentic AI patterns, Semantic Layers, and Data Mesh., • Expertise in Python, Spark, and the deployment of large language models (LLMs) via AWS Bedrock, Azure OpenAI, or Mosaic AI., • You have proven ability to define, design, and deliver enterprise-scale data strategies and solutions based on sound architectural principles using architectural choices that optimize performance, cost, and security., • You have hands-on experience with modern data architecture patterns, including domain-driven design, event-driven architecture, stream processing, Lakehouse, service-based/APIs, data mesh, and/or data fabric., • You have demonstrated capability to research, assess, and recommend new and emerging trends and implement emerging technologies with a focus on minimizing user disruption., • You possess excellent interpersonal skills, written and verbal communication skills, with the ability to generate and present compelling content to guide strategic decisions., • You have adopted customer-centric approaches by prioritizing stakeholder needs, ensuring data solutions drive meaningful business impact and user experience, • You can build consensus across business and technology teams by fostering collaboration and shared ownership, partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well-architected data-centric solutions while balancing technical depth with business outcomes., • You can proactively identify and mitigate architectural risks while ensuring adherence to regulatory and compliance standards. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $201,683-$322,693 New York Base Salary Range: $213,795-$342,072 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits _. • Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio This position will be based in any location in the United States with a preference for candidates that live in the EST or CST zones. This role includes up to 30% travel. Key Responsibilities: • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams actually execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership.Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Enable Others.Contribute to the success of others in sales and presales. Actively mentor and enable others. Share methods, content, and lessons learned to raise the overall quality of discovery, solutioning, and proposal development. Required Qualifications: • Bachelor's degree or equivalent experience and/or military experience, • Overall 10+ years of relevant experience, • 7+ years of architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years hands-on experience with AWS, Azure, or GCP, with deep expertise in at least one major cloud and readiness to work with others, • Presales experience, • 5+ years of specific domain experience in one or more of the following areas:, • Application development: Building new products, features, or user experiences, • Application modernization: Refactoring legacy codebases, re-architecting monoliths, upgrading frameworks (beyond lift-and-shift or containerization only), • Data engineering and modernization: Modern data platforms (Snowflake, Databricks), data pipelines, large-scale data migration programs, analytics solutions, cloud-native data services (AWS Glue/Redshift/EMR, Azure Synapse/Data Factory, GCP BigQuery/Dataflow), • Software development lifecycle (SDLC) optimization: CI/CD for developer velocity, AI-augmented development, and testing automation, • Artificial intelligence (AI) and Generative AI (GenAI): RAG pipelines, LLM-embedded applications, multi-agent systems, and agentic orchestration approaches, • Extreme ownership mentality with a self-starting approach to ambiguous problems without waiting for direction, • Demonstrated grit and resilience with a track record of running toward tough challenges and navigating uncertainty, • Intellectual curiosity with evidence of independently learning emerging technologies (for example, GenAI, agentic AI, modern data platforms, or cloud services) outside formal training, • Collaborative mindset with humility and the ability to work across sales, delivery engineering, and partner teams, deferring to domain experts when appropriate, • Growth mindset with willingness to course-correct upon feedback and actively seek mentoring and coaching, • Aptitude for consultative presales with a context-first problem-solving approach, • Proven ability to deeply understand customer business friction, desired outcomes, and constraints before architecting solutions, • Demonstrated comfort leading presentations, solution demonstrations, and whiteboard sessions with both technical and executive audiences, • Expert time management and ability to set expectations and provide timely feedback loops to leadership and account teams, • Hands-on engineering background with proven experience writing, reviewing, or refactoring code, or architecting data solutions (not just infrastructure or platform design), • Deep roots in software development or data engineering, with experience building, testing, and shipping software or data solutions, • Prior experience in a presales solution architect, principal architect, or similar role bridging sales and delivery is strongly preferred, • A builder mentality capable of prototyping software and data solution concepts where appropriate, with comfort using AI-accelerated tools as part of your own workflow Preferred Qualifications: • Amazon Web Services (AWS), Google (GCP), and/or Microsoft (Azure) architect-level certifications, • Experience in delivering modern application architectures through hands-on development or code refactoring (for example, microservices, event-driven architectures, serverless, API-first design), • Hands-on software engineering or code development experience (for example, Python, Java, C#, JavaScript/TypeScript, Go, or similar), • Experience with modern data platforms and tools: Snowflake, Databricks, AWS (Glue, Redshift, EMR, Lake Formation), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Dataproc), • Data engineering experience including building data pipelines, ETL/ELT, data modeling, data governance, or analytics solutions, • Experience with large-scale data migration or modernization programs, • Experience building GenAI-embedded solutions: RAG pipelines, LLM-based applications, prompt design, vector databases, • Experience with agentic AI frameworks and orchestration: LangGraph, AutoGen, crewAI, Semantic Kernel, or custom multi-agent systems, • Familiarity with data engineering for AI/ML, including feature engineering, vector databases, and data preparation for LLM training or fine-tuning, • Familiarity with AI-accelerated development tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar, • Experience using AI in the SDLC, including code generation, automated testing, documentation generation, or code review assistance, • Demonstrated curiosity about AI's impact on software and data delivery (for example, through webinars, articles, experiments, or peer discussions), • DevOps experience focused on application delivery and developer productivity (rather than platform operations alone), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI responses, proposals, and solution documents, • Demonstrated comfort leading CIO/CTO-level presentations, solution demonstrations, and whiteboard sessions, • Experience working in Healthcare and Life Sciences (HCLS) solutions, companies, or regulated environments, • Awareness of GxP compliance frameworks, 21 CFR Part 11, HIPAA/PHI data handling, and related regulatory constraints, • Familiarity with FHIR interoperability standards, HL7, and EHR/EMR integrations (for example, Epic, Cerner), • Understanding of clinical workflows, payer/provider dynamics, or life sciences R&D and commercialization processes Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com. * Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: https://www.eeoc.gov/poster Presidio's EEO Policy Statement is available here: https://www.presidio.com/careers Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to recruitment@presidio.com and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to recruitment@presidio.com. Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! CTO Advisor About Anaplan At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. • Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform., • Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Our Connected Planning solutions drive some of the world's largest companies, provide real-time insights, and enable smarter, data-driven decisions that optimize performance and improve decision-making across the enterprise. To support our ambition for growth and expansion, Anaplan is looking for an experienced CTO Advisor. The CTO Advisor will act as trusted advisor and executive advisor to our strategic accounts. As a CTO Advisor you build strategic, technical relationships with our strategic accounts focusing on the offices of the CIO and CTO. You help grow the Anaplan footprint by building their enterprise architectures around Anaplan. This is a unique opportunity for a thought leader with deep enterprise technology expertise, proven industry experience and relationships, and exceptional collaboration skills to shape the future of Anaplan. Your Impact As a trusted leader and subject matter expert, you will: • Strategic Advisory: Generate new business by supporting our strategic accounts and large deals on technology and enterprise architectures, • Trusted Advisor: Build trusted relationships with key partners, customers and prospects through solution development and collaboration., • Thought Leadership: Represent Anaplan at industry events, in thought leadership opportunities, and through social media. Key Skills • Analyze a company's key use cases around cloud driven data, data management and integration technology, • Advise CIOs on enterprise architectures and best practices around SaaS applications, data lakes, data management, PaaS, AI/ML/data science platforms, • Translate top CIO priorities into commercial opportunities, • Build trusted advisor relationships with IT Executives, • Executive level communications in-person, on stage and in writing, • Manage cross-functional teams and key stakeholders in a matrixed organization to achieve maximum results for the business and customers Your Qualifications • 15+ years of experience in enterprise data software technology, • 5+ years at senior level (VP/Sr. Director), • Worked in the following roles:, • Senior IT leadership roles at a large enterprise in CPG, Retail, FSI, Manufacturing, Energy, Transportation, • Senior field advisory roles at large tech companies like Microsoft, AWS, SAP, Oracle, ServiceNow, Databricks, Snowflake, • Senior consultant or practice lead at a big consultancy firm, • Led high-impact digital transformation projects at enterprise scale, • Held accountability to achieve key business goals i.e. revenue growth, TCO & ROI Our Commitment to Diversity and Inclusion Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondences, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcement is to obtain privileged information from individuals. Anaplan does not:*-+ • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to humanresources@anaplan.com before taking any further action in relation to the correspondence. Base Salary Range:$221,000—$299,000 USD Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking an AI Platform Architect who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role is purpose-built to accelerate our journey to 1,000 deployed AI agents by designing and optimizing the infrastructure that powers every solution-from intelligent tax preparation to agentic audit workflows. The Platform Architect will benchmark and evaluate LLMs, codify AI and data governance into platform guardrails, build executive-grade reporting, and relentlessly drive cost and performance optimization across the entire AI stack. Reporting to the AI Development Lead, this is a high-impact, high-visibility role at the intersection of architecture, AI engineering, and strategic operations. A critical dimension of this position is mentoring and developing talent across organizational boundaries-partnering with IT infrastructure teams, the AI Advisory service line, and functional business units to build platform fluency and AI capability firmwide. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Architect and scale the EisnerAI Platform on Azure, designing core data, application, and agentic layers to support growth toward 1,000+ AI agents Codify AI governance policies (NIST AI RMF, PCAOB, Section 7216) into enforceable platform-level controls, automated compliance checks, and governance-as-code pipelines Serve as a technical mentor and cross-functional leader, elevating AI platform capabilities across IT, AI Advisory, and engineering teams Lead AI performance engineering across the firm's LLM ecosystem - benchmarking models (GPT-4o, o3, etc.) for accuracy, latency, cost, and quality to drive model selection and routing strategy Build and operate a real-time AI performance monitoring layer tracking hallucination rates, retrieval precision, adoption, cost-per-interaction, and ROI Optimize prompts, model configurations, and routing strategies to maximize output quality while reducing token consumption and overall platform cost Own AI cost management across Azure AI Foundry and related services, implementing intelligent model routing, caching, and token budgeting to continuously lower cost-per-agent Ensure all AI deployments meet regulatory, risk, and firm data governance standards prior to production Deliver executive and board-level dashboards translating AI performance, adoption, and cost metrics into clear business value narratives Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 8+ years of experience in cloud platform architecture, infrastructure engineering, or AI/ML platform development 5+ years of hands-on experience with Microsoft Azure services (AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, AI Search) 3+ years of experience benchmarking, evaluating, and optimizing LLM-based systems in production environments Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus) Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana) Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale Experience managing cloud cost optimization initiatives with demonstrated savings outcomes Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, including IT, advisory, or consulting functions Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JK3 #LI-Hybrid Philadelphia

Company Shared Services Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence. Job Description Senior Data Engineer AI-First Data Strategy for P&C Insurance Carrier Lead Innovation in Property & Casualty Insurance Data Solutions We are seeking a Senior Data Engineer to spearhead our transition to a modern, AI-first data strategy tailored to the unique demands of a property & casualty (P&C) insurance carrier. Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&C insurance sector. Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams. Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations. Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards. Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration. Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&C. Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape. Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment. Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance. Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions. Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS). Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks. Focuses on researching, building, and fine-tuning models from scratch or using frameworks. Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases. Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products. Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance. Join us to redefine how data empowers property & casualty insurance, accelerating speed to insight and enabling next-generation analytics and solutions powered by AI. This is a 100%in-office position. Candidates must be able to work on-site at a designated company office during standard business hours. The base salary range provided below is for hires in those geographic areas only and will becommensuratewith candidate experience. Pay ranges for candidates in other locations may differ based on the cost oflaborin that location.In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package. NY Pay Range $113,000 - $160,000 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our_ Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Overview We are seeking a Data Scientist to join a high-impact team focused on using data to inform product decisions and improve customer experience at scale. This role centers on experimentation, causal analysis, and predictive modeling, partnering closely with product and engineering teams to uncover insights and drive measurable business outcomes. This is a hands-on role with a strong emphasis on experimentation frameworks, causal analysis, and data-driven product decision-making. Job Details • Location: New York City, NY (Hybrid - 3 days onsite), • Job Type: Contract, • Experience Level: Mid-level Key Responsibilities • Design and analyze experiments (A/B testing) to evaluate product features, • Build and maintain data pipelines to support experimentation, analytics, and scalable product insights, • Develop predictive models to understand user behavior and system performance, • Translate data findings into actionable insights that directly influence product and engineering decisions, • Perform analysis using SQL and Python on large datasets, • Partner cross-functionally to define metrics and measure impact Must-Have Qualifications • 3-5+ years of data science or analytics experience, • Strong SQL and Python skills, • Experience with experimentation (A/B testing), hypothesis testing, or causal analysis, • Experience working with data pipelines and large-scale datasets, • Ability to drive business or product decisions using data Nice-to-Have • Forecasting or time series experience, • Product analytics or customer behavior analysis, • Experience with cloud or modern data tools (e.g., Snowflake, Databricks), • Exposure to NLP, LLMs, or unstructured data analysis Technical Skills • Python, SQL, Data Analysis, Experimentation, Predictive Modeling Job Type & LocationThis is a Contract position based out of New York, NY. Pay and BenefitsThe pay range for this position is $60.00 - $65.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a hybrid position in New York,NY. Application DeadlineThis position is anticipated to close on Jun 5, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

A pioneer in K-12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visitamplify.com. We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational product portfolio. This role will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens-of-thousands of ISBNs and hundreds of millions in revenue every year. To accomplish this, the Data Scientist will work with a cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products. This Data Science role will report to our Data Science manager who leads Data Science for Amplify's Sales, Marketing and Finance departments. As such, they will be empowered to innovate and participate in important decisions across the entire data stack. Essential Responsibilities: Train, test, and deploy Machine Learning models: Drive the development of new Machine Learning capabilities by contributing at every stage of the Machine Learning delivery pipeline including research, evaluation, deployment and monitoring. Seek the why behind every observation: Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that our Supply Chain team can make to improve operations. Work cross functionally to deliver superior data products: Contribute to development efforts from data ingestion, to data transformation, through to data analysis and machine learning in order to deliver high quality, impactful data products. Give back to the broader Data Science team: Help our Data Science team continuously improve by leading team learning sessions and proposing novel tooling or architectures. Required Qualifications: 2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems. Proficiency with statistical methods and especially time series forecasting methodologies (eg. SARIMA, prophet, xGBoost) Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis). Expert user of SQL, especially its use in data analysis tasks. Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost. Experience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML. Demonstrated application of software development methodology and protocols, including using git for version control and testing. Excellent communication skills in writing and conversation, especially with non-technical partners. Experience driving self-directed projects and working cross-functionally. Preferred Qualifications: Experience working with Snowflake. Experience with container technologies, e.g. Docker and Kubernetes. Background in education or in edtech. What we offer: Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $100,000 - $132,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance. Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status. Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email _. . If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting. Amplify is an E-Verify participant.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a AI AppSec Engineer Lead at Capital Group" As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocuredAI solutions.You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group.You'llcollaborate with platformengineering, security engineering, and risk teams toensure their solutions support scalable, secureadoption of AI. Additionally,you'llbe expected toprovidementoring,advising diverse teams across the organization, andpromotingAI Securityprinciples acrossCapital Group. • Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops., • AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders, • Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems, • Contribute to Standards and Policies:You will providethought leadership forInformation Security policies and standards for AIin collaboration with technology risk, • AI/Agent SME:Youwill provideAI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents "I am the person Capital Group is looking for." • You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines., • You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera), • You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines, • You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows, including Scrum and Kanban • You areexperiencedin at least oneprogramming languages (Python, Java,.NET), • You can effectively partner and collaborate with stakeholder teams., • You have effective communication skills andthe abilityto outline security riskstoleadership. Preferred Qualifications: • Youhave knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers, • You are familiar withfunctionand purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (ExamplesLangChain,LlamaIndex, etc.), • You are familiar withkey AI regulatory frameworks such asNIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc, • You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Charlotte Base Salary Range: $194,706-$311,530 Southern California Base Salary Range: $226,893-$363,029 New York Base Salary Range: $240,519-$384,830 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits _. • Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Fundamental Research Group (FRG) Associate at Capital Group" As one of our FRG Associates,you will work closely andcollaborate with Fixed Income Investment Professionals and peers to deliver valuable insights, conduct bottom-up fundamental research and analysis that will drive investment decisions. You will partner with investors on their coverage to help generate investment ideas and monitor holdings by conducting deep fundamental research on bond issuers, financial analysis, drafting research notes, facilitating meetings with issuer stakeholders, sell-side firms and industry specialists, relative value comparison and working as a key contributor in the credit investment process. You will work on projects with growing complexity over time, receiving guidance and mentorship from experienced investment professionals. "I am the person Capital Group is looking for" • You are passionate about building a career in credit research and have a strong interest in corporate credit investing., • You have 2-5 years of experience in credit research, investment banking, buyside/sell-side research or a related field (experience covering emerging markets and/or investment grade corporate credit is preferred)., • You have a strong desire to continue to develop bottom-up fundamental credit research skills working in partnership with experienced investment professionals., • You have experience with fundamental credit analysis, working with sell-side firms and industry consultants, Bloomberg, utilizing research tools, trade publications, online sources, regulatory filings, etc., and interpreting this information to generate insightful analysis., • You are intellectually sharp, detail-oriented and able to ramp quickly across new issuers, sectors and geographies while producing accurate, high-quality work., • You are a proactive self-starter who takes ownership, keeps research processes moving and exercises sound judgment in ambiguous or evolving situations., • You communicate clearly and concisely in writing and discussion, with the ability to synthesize complex credit issues into actionable investment insights., • You have experience developing and maintaining charts, financial analyses and visualizations that support credit research and communicate investment conclusions effectively., • You thrive in team settings. You ask good questions, bounce ideas off others and proactively share your perspective., • You enjoy learning new things and can flex to varying work styles and expectations., • You have an inquisitive mind, demonstrating intellectual curiosity and analytical skills in areas of high complexity surrounding financial markets and industry trends., • You apply sound judgment in resolving conceptually complex matters., • You collaborate and develop/maintain relationships both inside and outside the organization., • You are available for occasional travel on research trips to meet with issuer constituents and investment professionals., • You have a bachelor's degree in finance, economics, STEM or a relevant field of study., • You are comfortable using AI / LLM tools to improve research productivity (ChatGPT, Claude Code/Claude Excel). Familiarity with programming languages (Python, SQL, R), data visualization tools (Tableau, PowerBI) and data platforms (Amazon S3, Snowflake, Databricks) is a plus, but not necessary. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. New York Base Salary Range: $150,155-$240,248 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits _. • Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Job Locations US-MA-Boston | US-NC-Raleigh | US-FL-Orlando | US-NY-New York City | US-DC-Washington | US-GA-Atlanta ID 2025-5623 Category Technology Type Regular Full-Time Career Stage Type Experienced # of Openings 1 ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB footprint Are you a dedicated Senior Transportation Data Analyst looking to make a significant impact through cutting-edge technology and data-driven approaches? Join VHB's innovative Technology Enablement Team in a Senior Transportation Data Analyst position, where you'll work with a diverse team of engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with government agencies to private businesses in transportation, real estate, institutional, and federal markets working collectively to enhance communities, stimulate economic growth, and promote environmental sustainability. Step into a role where your analytical expertise and passion for innovation truly matter. At VHB, you'll be empowered to drive meaningful change using data to uncover insights that shape smarter mobility, vibrant communities, and a sustainable future. This is more than just a job; it's an opportunity to collaborate with top industry professionals and see your work make a real difference. Join VHB and turn your curiosity into community impact. Begin your rewarding journey with us today! Please note: applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship Key Responsibilities Engage in big data-related projects across the multiple services VHB provides to our diverse client base • Mine and analyze complex structured/unstructured data sets using highly advanced statistical methods to help with data-driven decision making, • Develop and maintain dashboards and websites that support large databases, facilitate complex search queries, and enhance various business functions leveraging probe data, • Develop innovative approaches to modify and build new data processes, and build large, complex data sets ensuring data integrity and statistical accuracy., • Design, develop, test, validate, and analyze models and advanced algorithms to extract optimal value from the data, • Develop and apply customized algorithms or models to key business metrics with the goal of improving operations or answering business questions. Implement automated processes for efficiently producing scalable models, • Interpret results, predict future data trends and other data foresights, and propose strategic business solutions, • Train and mentor the data management team and other VHB subject matter experts on new or updated procedures Skills and Attributes Data Management & Analysis: • Proficiency in managing large datasets and understanding data structures., • Statistical analysis experience, • Prescriptive and predictive analysis for operations, planning, and decision making Technical Skills: • Experience with tools and software such as Databricks, SQL, and data visualization platforms such as Power BI., • Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms, • Data manipulation skills using various scripting languages like Python or R., • Strong ETL process experience Communication Skills: • Demonstrated ability to articulate, both verbally and in written form, complex technical concepts clearly and effectively to both technical and non-technical stakeholders Industry Knowledge: • Experience with connected vehicle and cell phone data such as INRIX, RITIS, HERE, and TomTom, • Awareness of industry-specific regulations and data privacy concerns Certifications • Relevant certifications such as CDMP (Certified Data Management Professional) or equivalent, • Databricks accreditation or certification Minimum Qualifications • Minimum of 3+ years of experience with advanced analytics in the engineering/transportation industry specifically providing services to DOTs, transportation agencies and/or state and federal governments, • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline, • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship The base salary range for this position is $98,500 - 148,000 for the Washington DC, New York City and Massachusetts locations. This offer is determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities and geographic location. In addition, VHB offers a holistic benefits package which can be found here. Building what's next, together. Our people make the difference. We foster a technology-empowered, peopledriven, futureready culture where agility, innovation, and collaboration shape how we work every day. When you join VHB, you'll find: • Meaningful work on complex projects with real community impact, • A collaborative, inclusive culture that values curiosity and shared success, • Support to grow your skills and lead through change, • Learning and development supported by evolving tools and technologies, including AI, • Best-in-class benefits and a flexible, hybrid work environment We're growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what's next? Learn more about what sets our employee experience apart and connect with us. VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law. #LI-LO1 #LI-Hybrid We can recommend jobs specifically for you! Click here to get started.

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you'll help Dataiku's customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. In this technical and consultative customer-facing role, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You'll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption. How you'll make an impact • Work closely with Dataiku's customers, focusing on onboarding, increasing user adoption, retention, and satisfaction., • Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform., • Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services., • Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers., • Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate., • Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts., • Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers., • Document and share the adoption status and key information to inform internal forecasting and renewal., • Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly., • When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution., • Stay current on Dataiku's products, competitive landscape, and data science trends., • Willingness to travel up to 25%. What you'll need to be successful • Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field., • Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction., • Strong written and oral presentation skills, capable of engaging both business and technical stakeholders., • Strong technical, analytical, and problem-solving skills., • Experience in building and operating communities of practice., • Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes., • Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users, • Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required)., • Preferably located within the Northeast region of the United States. What will make you stand out • Never-ending intellectual curiosity, detail-oriented, and analytical., • Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL, • Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership., • Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers., • Experience in Analytics/AI or other enterprise software (preferred but not required). Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$144,000—$152,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases, • Develop tools and processes to create data pipelines for ML training and customization, • Finetune LLMs for the healthcare domain, • Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Document and communicate research and development processes, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • PhD in AI, Machine Learning or Computer Science preferred, • Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development, • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc., • Strong proficiency in Python and familiarity with ML libraries such as PyTorch., • Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc., • Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.)., • Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Good written communication skills that enable collaboration in a remote environment., • Experience in healthcare or life sciences is a plus. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,500 USDNew York, NY Salary Range$180,400—$225,500 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers. Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot Design agentic frameworks supporting initiation, execution, state management, logging, and error handling Ensure adherence to data governance policies and responsible AI practices Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 6+ years of software development experience with 4+ years in AI/ML architecture role 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus) Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem Azure Machine Learning: MLOps, model deployment, and lifecycle management Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision Azure AI Search: Vector search, semantic search, and knowledge mining Azure Databricks: Data engineering and ML model development Programming Languages: Python, C#, JavaScript/TypeScript, SQL AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JR1 #LI-Hybrid #LI-Remote Iselin

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: • Support Surest plan design development, including setting copays, updating the Surest actuarial model, and reviewing service category benefit assignments, • Partner closely with the Plan Design and Surest Benefit Strategy teams to ensure client and Sales needs are met, • Support and complete regulatory testing activities, • Support other analyses and investigations as needed, • Provide explanations and interpretations within areas of expertise, • Developing standard processes for new work, as Surest continues to grow You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Bachelor's degree in mathematics or related field, • Actively pursuing actuarial exam track having attempted at least two SOA actuarial exams, • 2+ years of actuarial or health plan data analysis experience, • Intermediate or higher level of proficiency in Microsoft Office (PowerPoint, Excel, and in particular financial charts and graphs), • Proven ability to present project updates, analyses, and recommendations to internal stakeholders Preferred Qualifications: • Experience performing health plan (self-insured or fully insured) forecasting and analysis, • Solid understanding of health care benefit designs (e.g., PPOs, HDHPs) and product types (ASO, FI, etc.), • Proficiency with VBA, SQL and / or Python, • Familiarity with Databricks and claims data *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Job Description Our client’s technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm’s business activities. Their technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm’s AI initiatives. This is a platform engineering role — the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm’s security and compliance requirements. Responsibilities include: AI Platform & Developer Infrastructure • Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications;, • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;, • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;, • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm. Data Infrastructure & Pipelines • Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;, • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;, • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB. Cloud Infrastructure & DevOps • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);, • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;, • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;, • Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement. Security, Governance & Compliance • Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;, • Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;, • Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;, • Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level. Collaboration & Documentation • Produce architecture designs, runbooks, and technical documentation for all platform components;, • Support application developers building AI-powered applications with platform guidance and troubleshooting;, • Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure. Qualifications Our client seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following: • Bachelor’s degree in computer science, Computer Engineering, or related field (Master’s degree is a plus);, • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering;, • Demonstrated experience building shared platforms or developer services in an enterprise environment;, • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;, • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;, • Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;, • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;, • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;, • Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;, • Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;, • DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;, • Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);, • Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;, • Azure certifications: AI-102, DP-203, or AZ-305;, • Prior experience in investment banking or regulated financial services environments.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Responsibilities: • Design, develop, test and document highly reliable solutions running fully in the Azure and AWS public clouds, • Manage and monitor Azure and AWS cloud infrastructure, ensuring optimal performance and security, • Manage and monitor full Microsoft 365 estate, including Entra, Intune, the full Defender Suite and Exchange Online, • Build up Infrastructure as Code capabilities across the public cloud footprint, • Become an integral part of our technology team, including being an escalation point for junior team members, • Establish strong understanding of business needs and priorities Qualifications: • 8-10 years of experience in infrastructure engineering (experience in the finance industry desirable), • Extensive experience in the Azure and AWS public clouds with IaaS and PaaS workloads, including management of VNets/VPCs, private networking, storage accounts, Docker c containers, Function Apps/AWS Lambda, and managed databases., • Significant experience with cloud cybersecurity best practices, • Significant experience with Entra ID, Azure Policies, Azure Site Recovery, Azure Backup Center, and other Azure services., • Significant experience with Azure Virtual Desktop (AVD) and Windows 365., • Significant experience managing Microsoft Intune, including MDM/MAM policies and device configurations., • Significant experience with general database administration of SQL Server, • Some experience with Infrastructure as Code (IaC) and Cloud Adoption Framework/Well Architected Framework best practices, • Some experience with modern data stack tools, such as Databricks, Airflow, and GitHub, • Some experience of SharePoint Online architecture, site collections, and document libraries., • Bachelor’s Degree preferred, preference for Computer Science/Computer Engineering majors

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal