Elt jobs in New York, New YorkCreate job alerts

Job Description REV Renewables, an LS Power company, is a leading developer, owner, and operator of renewable energy and energy storage projects across North America. With over 2.9 GW of operating assets and a robust development pipeline—REV is at the forefront of the clean energy transition. Our mission is to deliver affordable, reliable, and clean electric power to all. Through a commitment to innovation, REV continuously adapts to the evolving regulatory, environmental, and market landscape to deliver optimized energy solutions. Learn more at https://www.revrenewables.com. Job Summary: The Head of Strategy & Government Affairs leads our integrated corporate strategy agenda and external policy posture—connecting market intelligence, financial analysis, and regulatory/policy priorities to identify investment opportunities and mitigate risks across the company. This is a highly dynamic role, requiring an ability to move quickly in fast-moving and uncertain situations. This will be a high-visibility role with regular exposure and interaction with the ELT and CEO. This individual must be able to assess complex topics thoroughly, but also quickly synthesize and communicate conclusions to assist in decision making. We are seeking a candidate who has strong power market and regulatory/policy experience as well as proven leadership and communication skills. Duties/Responsibilities: • Develop, refine, and operationalize a multi-year corporate strategy, working dynamically with the ELT to identify and assess investment opportunities, test with external stakeholders, and deploy within the company., • Analyze and translate market trends into insights that assist in company decision-making., • Maintain and continue to expand REV’s power market models with a focus on competitive U.S. power markets., • Own the company’s policy plan and advocacy agenda across federal and state arenas; proactively shape legislative/regulatory outcomes that impact development, operations, supply chain, financing, etc., • Oversee the company’s engagement with legislators, executive agencies, public utility commissions, and ISO/RTOs (e.g., FERC, PJM, CAISO, MISO) to influence rulemakings, dockets, and market design., • Manage the Strategy and Government Affairs teams in day-to-day operations, including responding to ad-hoc needs across the company in a dynamic and flexible way., • Develop all investor & Board level communications with the ELT., • Support M&A and Finance teams in various processes, as required. Required Education/Skills/Knowledge: • Bachelor’s degree required. Advanced degree preferred., • 5+ years in power or energy markets with a proven impact in the renewables/utility sector., • Mastery of financial modeling especially as it relates to power generation assets., • Mastery of power market analysis, with a strong understanding of U.S. competitive power markets., • Strategic thinker with strong analytical capabilities, power market knowledge, and executive communication skills., • Strong negotiation, presentation, and stakeholder management skills., • Ability to manage multiple competing priorities under tight deadlines; exceling in sometimes ambiguous, fast-moving environments. Physical Requirements/Working Conditions: • Must be able to sit/stand at a desk, using a computer workstation., • The employee is occasionally required to climb, balance, stoop, kneel, crouch, reach with hands and arms, walk; lift push or pull objects up to 20 pounds., • Must be able to handle long periods of screen time and typing., • Must be able to have effective time management skills, with the ability to concentrate for long periods of time. Why Join REV Renewables? At REV Renewables, we’re not just transforming the energy landscape—we’re building a workplace where people thrive. Our mission is to accelerate the decarbonization of the electricity supply while ensuring affordability, reliability, and resilience. We do this by empowering our team with purpose, support, and opportunity. Our Core Values • Integrity First – We uphold the highest ethical standards in everything we do., • Teamwork – We foster a collaborative, inclusive, and fun work culture., • Ownership Mindset – We take accountability and act in the long-term interest of our stakeholders., • Thought Leadership – We are creative, purposeful, and diligent in our decision-making., • Making a Difference – We strive to positively impact our communities, employees, and society at large. What We Offer REV is proud to provide a comprehensive and competitive benefits package designed to support employees’ well-being and long-term success. Below are just a few examples: • Employer-sponsored Medical, Dental, and Vision coverage for employees and their eligible dependents., • Health Reimbursement Arrangement (HRA) and Flexible Spending Accounts (FSA)., • Company-paid Life, AD&D, and Long-Term Disability Insurance., • 401(k) with employer contributions., • Generous Time Away policies., • Educational Reimbursement for professional development. We believe in creating a workplace where every employee feels valued, supported, and inspired to grow. Join us in shaping a cleaner, more sustainable energy future. REV Renewables is proud to be an Equal Employment Opportunity Employer. We are committed to fostering a workplace rooted in mutual respect, where all applicants and employees are valued and supported. Employment decisions are made without regard to race, color, religion, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. Disclaimer to Agencies: Please be advised we do not accept third-party resumes unless previously agreed to by Human Resources and the Agency.

Job Description The Academy of Rome is seeking a COO to join their team. This new hire serves as the principal executive responsible for day-to-day financial management and operations of the institution, ensuring efficient, compliant, and mission-aligned execution of all support functions. The COO is a trusted strategic leader reporting directly to the President & CEO and partners with the Executive Leadership Team. The COO manages strategic execution across financial, operational, and administrative domains and oversees eight direct reports spanning seven departments. This position requires bilingual and cross-cultural fluency, exceptional management skills, and expertise in financial operations and administration. Our client is a residential institute for advanced work in the arts and humanities. Beyond its core academic mission, the Academy also operates as a hotel accommodating approximately 100 people each night, a restaurant serving about 80 people twice daily during the week, a historic property on 11 acres subject to oversight by two landmarks commissions, and one of Rome’s premier venues for events and rentals. The COO will ensure that this multifaceted institution functions as an efficient and strategically managed organization. Success in the role will be defined by improved organizational performance, operational strength and effectiveness, and effective strategic execution. The COO will oversee the daily operations of the Academy, lead and implement institutional change, bring deep business and financial expertise to the senior management team, and serve as both a complement to the President and CEO and a close partner in advancing the Academy’s mission and long-term sustainability. The COO is responsible for the operational and financial management of the Academy, not its intellectual or academic direction. That responsibility remains with the Rome Director. By placing operations in the COO’s portfolio, the Academy frees the Director to focus more fully on shaping the intellectual life of the institution. Key Responsibilities 1. Executive and Organizational Leadership Serve as a key member of the Executive Leadership Team (ELT), which meets regularly to align on strategy, advise the President and CEO, coordinate cross-departmental priorities, and strengthen the Academy’s overall effectiveness. Manage alignment and execution of AAR’s operational systems with its mission, programs, and long-term strategic goals. Lead and establish policy and protocols for high-quality and efficient operations within a culture of collaboration, accountability, and continuous improvement across the organization. Represent the Academy internally at Board meetings, meals with Fellows and visitors, and externally with stakeholders, partners, and counterparts in both Italy and the U.S. 1. Financial Management Serve as the chief financial steward of the Academy, acting as a strategic partner to the President and ELT to ensure the Academy’s short- and long-term financial health, sustainability, and capacity for strategic growth. Manage the Finance function, overseeing budgeting, forecasting, multi-year financial planning, reporting, cash flow management, and audit processes. Oversee the endowment through regular communication with the institution’s outside investment advisors. Ensure compliance with all applicable U.S. and Italian laws and regulations, including maintenance of tax-exempt status in both countries. Bring international experience with U.S. GAAP and other accounting standards, ensuring compliant, transparent financial management across currencies, transactions, and jurisdictions. Advise and liaise with key Board committees—Audit, Compensation, Executive, Finance, Investment, and Plant, Planning & Preservation—providing clear, timely financial analysis, risk assessments, and strategic recommendations. Manage relationships with external auditors, investment advisors, and other financial partners to safeguard assets and optimize returns in line with mission and risk tolerance. 1. General Operations & Compliance Manage daily operations and strategy of Finance, Facilities, Residential Life, Sustainable Food Program, HR, and IT. Ensure compliance with Italian and U.S. laws and regulations governing non-profit organizations. Maintain and update institutional policies, including risk management, insurance, contracting, and legal compliance across both countries. Oversee the Academy’s contractual relationship with Janus S.r.l., the entity leasing Villa Aurelia, to ensure well-managed operations and fiscal accountability. Partner in guiding and executing on institutional planning, including strategic planning, KPIs, and performance tracking. Develop and maintain internal controls to safeguard assets and institutional integrity. 1. Facilities, Residential Life & Campus Management Oversee the high-quality operation and preservation of AAR’s historic campus, including residential facilities, gardens, kitchen/dining services, and common areas. Lead the Residential Life team to ensure the highest standards in housing, dining, and hospitality for Fellows, Residents, Visiting Artists/Scholars, Trustees, and Guests. This includes managing room quality and upkeep, occupancy logistics, dining services, and the operational details that underpin a seamless residential experience, distinct from the programmatic and intellectual dimensions led by the Programs team. Ensure security, health, and safety protocols are observed across campus. Supervise capital improvements, renovations, and routine maintenance within the priorities of strategic planning. In collaboration with the Director, oversee the Sustainable Food Program. Where the Director has primary responsibility for the intersection of food and programming, the COO has primary responsibility for staffing, costs, and materials. 1. Human Resources & Staff Development Lead strategic workforce planning, employee relations, performance management, and staff development across departments. Recruit, develop, and retain high-performing staff across operational and administrative functions; exercise authority in hiring and separation decisions in alignment with institutional policies and culture. Ensure equitable and transparent HR policies, compliant with U.S. and Italian labor law and relevant international best practices. Cultivate an organizational culture that reflects AAR’s values of intellectual courage, excellence without elitism, civic responsibility, Roman roots, collaboration and exchange, and stewardship of the future. Manage payroll, contracts, benefits administration, and legal compliance in collaboration with external service providers. 1. Technology & Systems Manage strategic development of IT infrastructure, including systems support for administration, programs, risk management, and communications. Ensure data security and continuity of operations across platforms (finance, HR, digital archives, library systems). Align digital tools with staff and fellow/resident needs; support innovation in remote and hybrid program delivery. 1. External Engagement & Institutional Stewardship Act as liaison with legal counsel, government offices in both the U.S. and Italy, vendors, and other institutions as needed. Represent AAR’s interests in operational matters with authorities, contractors, and external stakeholders in both geographies. Support special projects and strategic initiatives as delegated by the President. Preferred Qualifications 10+ years of senior operational and finance leadership experience in nonprofit and/or for-profit organizations, ideally with cross-border responsibilities. Strong background in financial management, strategic planning, compliance, and risk management in a multinational context. Fluency in English required; proficiency in Italian strongly preferred. Experience leading and managing cross-functional teams and working across cultures. Demonstrated ability to manage complex budgets, capital projects, and internal systems. Excellent communication and interpersonal skills; tactful, discerning, strategic, consensus-builder, and collaborative.

• Job Title: Technical Delivery Manager, • Job Type: Hybrid (3 days on-site), • Location: Montvale, NJ, • VISA: Any Valid VISA, • Relocation: Relocation candidates are considered Role Overview We are seeking a hands-on Technical Delivery Manager to lead the end-to-end delivery of a modern data platform built on Azure. This role requires a strong blend of technical depth, delivery ownership, and client-facing leadership to drive execution across distributed teams while ensuring high-quality, scalable solutions. Key Responsibilities Delivery & Execution • Own end-to-end delivery of data platform initiatives (design → build → deploy → operate), • Drive sprint planning, execution, and tracking using Agile methodologies (JIRA), • Ensure adherence to timelines, quality standards, and release commitments, • Manage dependencies, risks, and escalations proactively Technical Leadership (Hands-on) • Provide hands-on guidance in Databricks, Azure OneLake, PySpark, Python, and .NET, • Oversee data engineering pipelines, transformations, and performance optimization, • Drive CI/CD pipeline design and implementation for data and application components, • Ensure best practices in code quality, version control, testing, and deployment automation Client & Stakeholder Management • Act as the primary interface with client stakeholders, driving alignment and expectations, • Translate business requirements into technical solutions and delivery plans, • Present progress, risks, and outcomes to leadership in a clear, structured manner Platform & Architecture • Support architecture decisions for scalable, secure, and high-performance data platforms, • Enable integration across data, analytics, and application layers, • Ensure compliance with data governance, security, and enterprise standards Team Leadership • Lead and mentor cross-functional teams (data engineers, developers, DevOps), • Foster a high-performance, accountable team culture, • Drive continuous improvement across delivery processes and engineering practicesRequired Skills & Experience, • Strong hands-on experience with:, • Azure Databricks, Azure OneLake / Fabric, • PySpark, Python, • .NET (for integration/API layers), • Proven experience in building and managing CI/CD pipelines (Azure DevOps / GitHub), • Solid understanding of data platform architecture, ETL/ELT, and large-scale data processing, • Experience with Agile delivery (Scrum/Kanban) and tools like JIRA, • Strong client-facing communication and stakeholder management skills, • Ability to operate at both strategic and execution levelsPreferred Qualifications, • Experience with Microsoft Fabric ecosystem, Databricks, • Exposure to data governance, data quality, and metadata management frameworks, • Familiarity with AI/ML integration in data platformsSuccess Profile, • Execution-focused leader who can drive outcomes, not just manage tasks, • Technically credible and comfortable being hands-on when needed, • Strong communicator who can bridge business and technology seamlessly, • Able to simplify complexity and lead large-scale data initiatives effectively, • This role is critical to delivering a next-generation, AI-ready data platform, and requires someone who can combine deep technical expertise with disciplined delivery leadership.

The VP, Internal (Employee) Communications & HR Communications is responsible for leading the enterprise employee communications function—including all HR communications, executive employee communications, internal functional communications, culture intiatiives HUB/Intranet and Workplace TV content, and our quarterly town halls —to strengthen alignment, engagement, and trust across the organization. This leader sets the internal communications strategy, operating model, governance, and measurement framework; partners closely with People/HR, Workplace, Legal, Compliance, and senior leadership; and ensures employees receive timely, accurate, and actionable information through the right channels and formats. This role is accountable for writing and approvals of all internal communications materials, and managing all employee communications requests while continuing to build and evolve the internal communications ecosystem (The HUB, HR comms calendar, strategic/PR announcements, organization announcements/leadership cascades, executive messaging, employee programming, town hall management, and in-office channels, elevating the employee experience and supporting a "One team” culture. Scope & Mandate Enterprise employee communications (owned): · HR/People communications (total HR comms function) · Functional/internal stakeholder communications (cross-company) · Executive and leadership cascade communications (CEO/ELT messaging, town halls, critical updates) · Channel strategy and governance across internal comms platforms · Measurement, analytics, and continuous improvement to close "data gaps” in internal communications Qualifications · 10+ years in internal communications and/or HR communications, including enterprise-scale change communications and executive messaging. · Demonstrated ability to build internal comms strategy, channel governance, and measurement frameworks—moving from "activity” to "outcomes.” · Exceptional writing and editing skills; can translate complex topics into clear, employee-ready communications fast.Strong stakeholder management and sound judgment in sensitive, confidential, and compliance-aware environments. · Experience in financial services, fintech, or similarly regulated environments. · Experience modernizing internal comms ecosystems (HUB/intranet, Teams governance, digital signage, manager cascade). · Familiarity with employee engagement measurement and change management methodologies.

Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes. Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc. This role focuses on designing, buildi

Exposure to concepts such as ETL/ELT, orchestration, or large-scale data processing.

Strong knowledge of data architecture, ETL/ELT, and data warehousing (BigQuery). Build Robust Data Pipelines: Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like Python and We’rSQL.

Job Title: Technical Data Architect (AWS + Veeva) Location: Parsippany, NJ Work Arrangement: Hybrid Employment Type: Contract Duration: 9+ Months Pay Range: $57.69/hr. to $64.62/hr. on W2 | $75.00/hr. to $84.00/hr. on C2C Domain: Life Sciences & Pharmaceutical Commercial Technology Application Deadline: June 14, 2026 SKILLS REQUIRED Primary (Must-Have): ✔️15+ years of experience in Enterprise Architecture / Solution Architecture, specifically within the Pharmaceutical Commercial domain (Sales, Marketing, Market Access, or Commercial Analytics). ✔️Strong hands-on expertise in Data Modeling (Dimensional modeling, star schemas, and semantic modeling) and translating business KPIs into governed metrics. ✔️Proven experience designing and governing cloud integrations (APIs, event streaming, batch/file integrations, middleware/iPaaS), including non-functional requirements like performance, resiliency, and observability. ✔️Deep functional understanding of sales planning, forecasting, bid management, and tender management lifecycles. ✔️Demonstrated experience evaluating technology products (build vs. buy assessments) and reviewing/approving complex technical design artifacts (HLD/LLD, data models, and interface specs). Secondary (Good to Have): ✔️Hands-on experience with commercial platforms and ecosystems such as Salesforce, Veeva CRM, and marketing analytics tools. ✔️Experience working with Cloud Data Platforms (AWS preferred) and standard data engineering patterns (Lakehouse architectures, ETL/ELT orchestration, and metadata management). ✔️Direct exposure to syndicated pharmaceutical datasets and commercial data sources (e.g., IQVIA, Symphony) and Master Data Management (MDM) concepts. ✔️Familiarity working within highly regulated life sciences environments requiring strict data governance, auditability, and secure data handling. POSITION OVERVIEW are seeking an Elite Senior Technology Architect to own the end-to-end solution architecture for global commercial capabilities (Sales, Marketing, Market Access, Bid, and Tender Management) in a dynamic pharmaceutical environment. Based out of Parsippany, NJ on a hybrid schedule, this pivotal role will evaluate technology platforms, design scalable integration patterns, drive robust data modeling, and provide hands-on architectural governance. The selected candidate will ensure high-quality delivery of data products and business intelligence applications that directly support strategic commercial forecasting and decision-making. ROLES & RESPONSIBILITIES ✔️Define target architectures, reference patterns, and solution blueprints for commercial platforms, data products, and downstream business intelligence/analytics applications. ✔️Evaluate commercial technology products (COTS) and software solutions against complex business requirements, factoring in scalability, security, Total Cost of Ownership (TCO), and vendor roadmaps. ✔️Design and govern data integrations across CRM, marketing platforms, and data lakehouses, establishing explicit data contracts, error-handling mechanisms, and monitoring frameworks. ✔️Lead the design of dimensional data models, curated data marts, and semantic layers to enable seamless, self-service BI reporting (via Power BI, Tableau, or Qlik). ✔️Review and approve high-stakes technical artifacts including architecture diagrams, HLD/LLD documents, interface specifications, and deployment strategies. ✔️Establish clear engineering governance standards for coding, CI/CD pipelines, DevSecOps, data quality metrics, and regulatory data compliance (lineage, access controls, and retention). ✔️Partner closely with Sales Operations, Market Access, Finance, and IT executives to translate complex commercial needs into prioritized, implementable technical roadmaps. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

Join Elder Care Homecare Together, we elevate care to meet the moment and deliver peace of mind. About Elder Care Homecare Elder Care Homecare is a private pay home care agency proudly serving clients across New York, New Jersey, Connecticut, and Massachusetts, with ambitious plans for continued expansion. We specialize in delivering exceptional, personalized care by providing nurses and home health aides to help clients in their homes, at assisted livings, and more, to allow them to live safely, comfortably, and independently. Everything we do is guided by a simple belief: Together, we elevate care to meet the moment and deliver peace of mind. This is to our clients, their families, and our team members. As we grow, we are building a team of professionals who are passionate about caregiving, service excellence, and making a meaningful difference, every single day. The Opportunity We are seeking a Director, Growth Operations to join our growing team. This role is based in either our Manhattan or Westchester office and requires an onsite presence five days per week. This role is ideal for a detail-oriented and analytical professional who thrives in a fast-paced, growth-oriented environment. Reporting to the Senior Vice President of Sales, you will be responsible for optimizing sales processes, improving systems and reporting, and enabling the sales team to drive revenue growth across multiple markets. At Elder Care Homecare, this is more than just a job, it’s an opportunity to: • Make a direct, positive impact on the lives of clients and families, • Grow alongside a company that is expanding across multiple states, • Be recognized, supported, and rewarded for your contributions Key Responsibilities Revenue Intelligence & Analytics • Own sales analytics infrastructure — building dashboards, conversion metrics, pipeline velocity reports, and cohort-level retention data that drive weekly, monthly, and quarterly decision-making, • Develop and maintain KPIs across production, sales funnel performance, and sales efficiency; surface actionable insights, not just numbers, • Support Finance with budgeting, forecasting, and planning cycles; ensure sales projections are grounded in data and tied to resource decisions, • Track and improve CAC-to-LTV ratios for private-pay families and referral channels, and quantify the ROI of sales investments and initiatives, • Develop board- and ELT-ready reporting materials that communicate pipeline health, performance trends, and strategic priorities with clarity and confidence CRM Ownership & Systems Excellence • Serve as the internal owner of HubSpot — managing configuration, data integrity, workflow automation, and adoption standards across the sales team, • Build and optimize lead conversion funnels within HubSpot, from initial inquiry through signed agreement, with clear stage definitions, conversion benchmarks, and automated follow-up, • Develop reporting from HubSpot that gives Sales Leadership a real-time, accurate view of individual and team performance, • Build toward a seamless integration between WellSky and HubSpot, developing a unified view of every prospect, active client, and referral relationship — eliminating data silos and reducing manual rekeying, • Identify and implement tools and automations that eliminate low-value, repetitive work and redeploy that time toward high-value sales activity Sales Enablement & Content • Create, standardize, and continuously improve a library of reusable sales materials — email sequences, proposal templates, objection-handling guides, referral partner outreach, and presentation decks, • Leverage AI tools to accelerate content creation, improve personalization at scale, and maximize output quality without adding headcount, • Design and deliver onboarding programs for new sales hires that get them ramped quickly, with consistent training, tools access, and process fluency, • Develop and deliver ongoing sales training on process, systems, and best practices as the team and market evolve Cross Functional Partnership • Partner with Finance on sales budget management, spending oversight, ROI tracking, and compensation modeling, • Collaborate with HR to support sales compensation design — helping build commission structures and incentive programs that attract top talent and reward the right behaviors, • Work closely with Marketing and external agencies to align lead generation strategy with funnel performance data, optimizing spend and improving referral channel ROI, • Serve as the sales team's operational partner with Operations and Care teams, ensuring handoff processes are smooth and client experience data flows back to inform retention and reactivation efforts Growth & Acquisition Support • Support organic and inorganic growth initiatives, including acquisitions — leading sales-side integration work to onboard acquired entities into our CRM, reporting standards, and sales processes, • Build scalable infrastructure designed to support multi-state expansion without requiring proportional increases in operational overhead Team & Culture • Support internal sales team-building events that foster collaboration, recognition, and a high-performance culture, • Be a visible, trusted resource for the sales team — the person they come to when they need a better process, a cleaner report, or a stronger pitch Qualifications • Bachelor's degree in Business or a related field, • 5+ years of Sales Operations or Revenue Operations experience, • Proven track record of managing and optimizing CRM platforms; HubSpot experience strongly preferred, • Strong financial acumen — comfortable with budget management, ROI analysis, and partnering with Finance on planning, • Experience developing sales enablement content and training programs, • Exceptional analytical, organizational, and problem-solving skills, • Outstanding communication ability — equally effective in a board deck and a one-on-one coaching conversation, • Proven ability to work cross-functionally and drive process change in a fast-paced, growth-oriented environment, • Familiarity with WellSky or similar home care platforms a strong plus, • Experience supporting M&A integration preferred Why You’ll Love Working With Us A Culture That Puts People First We believe outstanding care starts with taking care of our team. Our culture is built on: • Respect, transparency, and collaboration, • Open communication and supportive leadership, • Treating employees and contractors as trusted professionals, not numbers Competitive Pay & Fair Treatment • Highly competitive compensation, reflecting experience and performance, • Timely, reliable pay and clear expectations, • A workplace where caregivers and professionals feel valued, heard, and appreciated Growth & Career Development • Join a company with strong growth momentum and future leadership opportunities, • Exposure to multi-state operations and best-in-class home care practices, • Opportunities to expand responsibilities, skills, and career paths as we scale Make a Real Impact Your work will matter. Every role at Elder Care Homecare contributes to: • Improving quality of life for seniors and peace of mind for families, • Elevating the standard of private pay home care, • Living our promise: together, we elevate care to meet the moment and deliver peace of mind Our Commitment to You At Elder Care Homecare, we are committed to: • Treating every team member with dignity and respect, • Providing a supportive, ethical, and growth-oriented environment, • Recognizing great work and investing in our people Ready to Grow With Us? If you’re looking for a role where your work is meaningful, your contributions are valued, and your career can grow alongside a dynamic home care organization, we’d love to hear from you. Apply today and help us elevate care, together Compensation Range: $155,000 - 175,000 Health, Dental, Vision 401(k) Matching PTO Annual Discretionary Bonus

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. Our data analytics teams transform, model, and aggregate the data that empowers our customers to make sense of and tell stories with their data. You'll be working with data scientists, data analysts, data engineers, and software engineers to provide clean, accurate, reliable models and metrics for our products. Help school administrators build great schools by: Respecting privacy and ensuring security while offering valuable insights Making inquisitive choices in tech stack, database design, masking policies, and encryption Building analytical models to fuel reporting we offer to administrators Helping school principals understand how teachers are teaching and how students are learning by Architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots Creating data solutions using tools like Snowflake, Airflow, DBT, SQL, Python, Cube.dev. Learn every day by: Immersing yourself in agile rituals and leveraging our infrastructure Leading collaboration, pull request-ing, CI/CD processes, and mentoring on a cross-functional team participating in cross-team share-outs, brownbags, and workshop series Becoming an expert in the data models and standards within Amplify to deliver quality and consistent solutions Example Projects You Might Work On Build well-tested and documented ELT data pipelines for full and incremental DBT models to funnel into Cube Semantic Layer models. Engineer novel datasets that express a student's progress and performance through an adaptive learning experience that allows for flexible comparison across students and deep analysis of individual students. Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes. Improving our pipeline deployments and tests Required Qualifications: BS in Computer Science, Data Science, or equivalent experience. 5+ years of professional software development or analytic engineering experience Expertise in computer, data, and analytics engineering. Expertise in SQL and its use in code-based ETL frameworks, preferably dbt, focusing on reuse and efficiency. Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics Expertise in Git and DBT, preferably with automation skills Expertise in analytical modeling architectures, including the Kimball design Strong communication skills in writing and conversation, including writing engineering training documentation. Preferred Qualifications: Fluency in a development language such as Python Familiarity with metadata management tools such as Atlan Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker Expertise with tools we use every day: Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) and Postgres ETL/ELT: Airflow, dbt, Matillion, Fivetran BI: Cube.dev Looker, Tableau Experience with tools we don't use, but should Proven passion and talent for teaching fellow engineers and non-engineers Proven passion for building and learning: open source contributions, pet projects, self-education, Stack Overflow Proven technical leadership in project delivery. Experience in education or ed-tech 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 $137,000 - $157,000. 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.

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. Amplify is a leader in creating immersive, rigorous digital learning experiences that look great, play great, and help students expect great things of themselves. Amplify has been described as the best tech company in education, and the best education company in tech. As an engineer at Amplify, you will join a talented team tackling the toughest problems in education with the best ideas in technology - including user experience, APIs and services, data analysis, and deployment pipelines. You'll play an active role in imagining and improving product design and the classroom experience. Essential Responsibilities: Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers teams across Amplify and our customers to make sense of and tell stories with their data. You'll be working with data scientists, data analysts, and data engineers to provide clean, accurate, reliable models and metrics for our products and internal business partners. Impress the toughest customers around - students - by building the analytical models which drive the design cycle for fun and compelling apps, helping them understand their students by building modular data models Help school administrators build great schools by: respecting privacy and ensuring security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption helping school principals understand how teachers are teaching and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots analyzing performance and squashing tricky bugs using tools like Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau. Make life better for passionate, Marketing and Sales teams by building cohesive, common data marts from ERP and CRM source systems like Salesforce, Netsuite and HubSpot Learn every day by: immersing yourself in agile rituals and leveraging our infrastructure collaboration, pull request-ing, CI/CD processes and mentoring on a multi-functional team participating in cross-team share-outs, brownbags, and workshop series becoming an expert in the data models and standards within Amplify and demonstrating the educational industry in order to deliver quality and consistent solutions Example Projects You Might Work On Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart. Work closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact. Align with finance on making sure we have well audited data inline with established financial best practices. Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students. Work with the data science team to measure the impact of design changes on an administrator reporting application. Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes. Required Qualifications: BS in Computer Science, Data Science, or equivalent experience. 3+ years of professional software development or data engineering experience Strong computer, data, and analytics engineering fundamentals. Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design Experience working with Looker for explore and dashboards. Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form Preferred Qualifications: Fluency in a development language such as Python Familiarity with metadata management tools such as Atlan Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker Experience with tools we use every day: Storage: Snowflake, AWS Storage Services/DBs (S3, RDS, Glacier, DynamoDB) and Postgres ETL/ELT: Airflow, dbt, Fivetran BI: Looker Experience with tools we don't use, but should Proven passion and talent for teaching fellow engineers and non-engineers Experience in recommending standards and practice to streamline the pipeline processes Proven passion for building and learning: open source contributions, stretch goals and projects, and self-education Experience using LLMs for dev work like claude or co-pilot. Experience in education or ed-tech 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 $115,000 - $129,000. 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.

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: As an individual contributor on the Product team, you will pay a critical role in contributing to the success of Capital Rx. The Capital Rx Product team seeks individuals who are passionate about improving the landscape of pharmacy prior authorizations, while providing superior service. The expectations for growth in this role are to push beyond the core data and reporting and to serve as an expert across all domains of Judi, our Enterprise Health Platform. Position Responsibilities: • Provide subject matter expertise support on Judi's function and reporting capabilities related to prior authorization, • Take accountability for accurate translation of reporting requirements for Capital Rx's customers, • Support analytics and reporting needs for the prior authorization team and related groups, • Own swift resolution and clear communication of critical reporting issues, • Present analysis results clearly, • Assist in testing of new Judi functionality to ensure enhancements are functioning as expected and accurately processing claims transactions, • Build key cross-functional relationships with other internal teams, • Provide virtual and in person product demonstrations, • Note: Role may periodically require meeting participation, service support or other requirements outside of standard business hours Minimum Qualifications: • Bachelor's degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics or equivalent work experience strongly preferred, • 2+ years of proven experience in data analytics and reporting required, • 2+ years of experience in Structured Query Language (SQL) required, • 2+ years of experience with ETL or ELT preferred, • 2+ years of PBM, pharmacy, health plan, or related experience preferred, • 1+ years working with JSON or other data-exchange format tools preferred, • 1+ year of Python, R, or similar programming experience preferred, • Experience presenting analysis to clients and/or management preferred, • Proficient in Microsoft Excel, • Extremely organized, detail-oriented, and able to easily pivot priorities, • Ability to work effectively with virtual teams, • Ability to travel 5-10% 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$80,800—$101,000 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_.

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_.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: This is a dual-purpose role designed to serve two distinct but connected functions within Technology & Operations (T&O). As Executive Assistant to the EVP of Technology & Operations, you will provide reliable, well-organised executive support that enables the EVP to focus time and energy where it matters most. Requirements are targeted: calendar and travel management, coordination with ELT-level EAs across the organisation, and ensuring in-person engagements - meetings, lunches, off-sites - are set up and run seamlessly. The role carries inherent exposure to highly confidential information, which requires consistent discretion and professional judgement. As Chief of Staff Associate, you will work directly with the GVP Delivery & Change Excellence and Chief of Staff. This is where the role stretches beyond traditional EA support. You will be a genuine thought partner: given minimal context, you will be expected to build out, complete, and in some cases own work that would otherwise sit with the CoS. For the right person, this role is intended as a launchpad into future opportunities - a Chief of Staff position, a broader business role, or another high-impact role within Wiley. Job Responsibilities: Executive Support - EVP, Technology & Operations • Manage the EVP's calendar end-to-end, including prioritisation of competing demands and proactive horizon planning., • Coordinate domestic and international travel arrangements, including itineraries, logistics, and expenses., • Process expenses accurately and in line with Wiley policy., • Act as primary liaison with ELT-level EAs to align calendars, schedule cross-functional meetings, and coordinate logistics for joint sessions., • Own end-to-end logistics for in-person engagements - meeting rooms, catering, materials, AV - ensuring nothing falls through., • Handle confidential communications and correspondence with the professionalism and discretion expected at EVP level. Chief of Staff Associate Support • Work alongside the Chief of Staff across a broad range of strategic and operational priorities - taking the thinking further, building out the detail, and driving execution - developing deeper understanding of the function with each piece of work., • Develop an understanding of the T&O strategic framework and use this context to sharpen your own outputs and anticipate needs., • Receive briefs, incomplete drafts, or minimal context and translate them into polished, audience-ready outputs with limited follow-up., • Support preparation of communications, briefing notes, presentations, and strategic documents for the EVP, T&O leadership, and broader Wiley stakeholders., • Assist with tracking and monitoring key priorities, actions, and commitments across the T&O portfolio., • Coordinate preparation for key governance rhythms - including leadership team meetings, off-sites, and operating reviews - covering logistics, pre-reads, and follow-up actions., • Over time, take on increasing ownership of CoS workstreams as trust and capability develop. Required Qualifications: • Proven experience supporting a senior executive at EVP or C-suite level, including complex calendar and travel management., • High level of discretion - comfortable handling confidential information as a matter of course., • Exceptional written communication skills: able to draft, structure, and edit documents quickly and to a high standard., • Strong organisational and prioritisation skills - able to manage multiple competing demands without losing focus., • Analytical and structured thinking: able to take ambiguous input and produce clear, logical output., • Confident working with minimal direction and completing tasks without step-by-step guidance., • Proven ability to build strong working relationships with senior stakeholders and peer coordinators. Preferred Qualifications: • Experience working in or alongside a Chief of Staff, strategy, or business operations function., • Exposure to large-scale transformation programmes or complex technology and operations environments., • Familiarity with programme or portfolio tracking tools and executive communication platforms., • Ambition to develop into a senior strategic role - you see this as a career-defining assignment, not a stepping stone to another EA position. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 73,400 USD to 102,600 USD #LI-JG1

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 1. End-to-End Data Engineering Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 1. Optimization & Performance Tuning Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 1. Public Sector Advisory & Governance Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. Experience developing visual data representations and dashboards (Django, React, or Angular) Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). Active Top Secret Security Clearance You may also have: (Preferred Qualifications) Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. Experience installing and operating Cloudera Data Platform Experience installing and operating Kubernetes Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: Generous PTO Policy Support work life balance with _ Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages _ Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Participate in code reviews, architecture discussions, and DevOps best practices with the data engineering and software development teams. Solid understanding of ELT/ETL concepts and data architecture best practices across cloud and hybrid systems.

Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems. On the data/AI side: Relatively greenfield ELT+RAG setup that enables us to answer specialist user queries using millions of medical articles that we've compiled and processed ourselves. Fully

Why join this team Design and deliver scalable OLTP, Business Intelligence, and Data Warehouse solutions using Microsoft Fabric, SSIS, SQL Server, and related BI technologies. Develop and maintain enterprise reports, support requirements gathering, evaluate and recommend technical approaches, and implement solutions within established timelines. This position is hybrid. NYC Salary range: $115,000 - $160,000 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. Develop and maintain ETL/ELT processes using SSIS, Fabric Pipelines, and/or Azure Data Factory, including advanced Script Tasks (C# or VB.NET) to automate file operations and apply custom business logic. Develop and implement solutions in Microsoft PowerBI and Microsoft Fabric, including Lakehouse/Warehouse modeling, Dataflows Gen2, Pipelines, and Semantic Models; support the modernization of existing ETL and reporting assets into Fabric and Azure cloud-based frameworks. Design, develop, and optimize complex T-SQL stored procedures, functions, and database objects for high-volume OLTP and Data Warehouse environments, with expertise in transaction isolation levels, table hints, deadlocks, linked servers, OPENQUERY, triggers, and column-level encryption. Perform advanced database performance tuning, including execution plan analysis, indexing strategies, partitioning, and transaction optimization. Contribute to the design and enhancement of OLTP and OLAP data models, ensuring alignment with business, analytical, and performance requirements. Build and support integrations that consume or expose REST APIs, including testing, validation, and troubleshooting using Postman and related API tools. Create and govern dashboards and visual analytics in Power BI or Tableau, ensuring accuracy, compliance with governance standards, and proper alignment with semantic models. Verify and maintain data quality and integrity across the data warehouse, semantic models, dashboards, reports, and data extracts. Troubleshoot and resolve database, ETL, reporting, data quality, performance, capacity, replication, and distributed data issues; participate in incident resolution and root-cause remediation. Maintain thorough documentation, adhere to change control processes, and support regulatory, cybersecurity, and data protection compliance. Collaborate with Product Managers, Analysts, Engineers, and cross-functional teams to enhance BI and data platform capabilities. Stay current with industry trends and participate in relevant training, conferences, and professional development programs. 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 including, , MS SQL Server 4 years of experience in DB Development (OLTP) using MS SQL 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 Strong reporting and data warehouse development skills on issues that are complex and evaluative in nature where troubleshooting may call for referencing an advanced knowledge base Large data migration experience Hands on experience using Oracle What makes you stand out Maintaining code/scripts in TFS for multiple environments Cloud technology like Microsoft Azure, MS Power BI and Microsoft Fabric. DBA activities like database backup and restore. Data extraction using API Handling data in XML 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 protected by country, federal, state or local laws.

Hello This is Sandeep from Cygnus Professionals Inc We are looking for BI & DATA ARCHITECT (ASSESSMENT + IMPLEMENTATION) Location: New York (Brooklyn preferred) / Client-Facing (at least 3 days onsite) Duration: Until Mar 2029 (3 years long term project) Tentative Start Date:ASAP Role Summary We are seeking a BI & Data Architect to lead data, analytics, and BI transformation initiatives for retail and eCommerce clients. This role will lead BI tool assessments, define data and reporting strategy, design scalable architectures, and drive end-to-end implementations. Key Responsibilities Lead BI tool assessments across ETL, Data Warehouse, and BI tools Review current architecture and identify gaps Define evaluation criteria and scoring models Evaluate integration with Shopify, NetSuite, and POS systems Design end-to-end BI architecture (ETL, DWH, Semantic Layer, Reporting) Lead stakeholder workshops and KPI alignment Drive implementation of BI solutions Present recommendations to IT and business leadership Required Experience 10–15+ years in BI / Data Architecture / Data Engineering Experience in tool evaluation and platform selection Retail / eCommerce experience preferred Experience with E-Commerce, NetSuite, POS systems is a plus Technical Skills ETL / ELT tools (Alteryx, Informatica, Matillion, Fivetran) Data Warehouses (Snowflake, Redshift, BigQuery, Synapse) Data modeling (star schema, dimensional modeling) BI tools (MicroStrategy, Tableau, Power BI, etc.) Consulting & Communication Skills Strong problem-solving and analytical thinking Ability to translate business needs into technical solutions Client-facing communication skills Ability to present to senior leadership Success Criteria Deliver clear tool recommendations Design scalable architecture Drive business and IT alignment Enable smooth transition from assessment to implementation Why Join Us Lead BI transformation initiatives Work with CIOs and business leadership Be part of a high-growth consulting firm Build next-generation data and analytics solutions About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have valid work authorization.

Role Summary The Talent Acquisition Leader is responsible for designing and leading Global Industrial’s enterprise‑wide talent acquisition strategy to attract, hire, and retain high‑quality talent across corporate, distribution, sales, technology, and leadership roles. This leader will serve as a strategic partner to the Executive Leadership Team, ensuring hiring strategies align with business growth, modernization, and operational excellence objectives. This role requires a hands‑on leader who can scale recruiting operations, elevate the employment brand, strengthen early‑career and operational pipelines, and drive accountability through data and process discipline. Key Responsibilities Talent Acquisition Strategy & Workforce Planning • Develop and execute a comprehensive TA strategy aligned with business priorities, growth plans, and workforce needs across North America and global teams., • Partner with the ELT and senior leaders on workforce planning, succession pipelines, and critical role identification., • Balance near‑term hiring execution with long‑term talent pipeline development (DCs, sales, IT, leadership) Hiring Operations & Execution Excellence • Lead end‑to‑end recruiting for:, • Distribution & warehouse hourly roles, • Corporate, sales, and functional professionals, • Technology and analytical talent, • Leadership and executive searches, • Ensure consistent, equitable, and compliant hiring practices across all locations., • Drive improvements in time‑to‑fill, quality‑of‑hire, candidate experience, and hiring manager satisfaction. Team Leadership & Capability Building • Lead, coach, and develop a high‑performing TA team with clear roles, performance expectations, and career paths., • Establish clear service models and SLAs with HRBPs and business leaders. Build recruiting capabilities in: • Operational / hourly hiring, • Talent pipelining, • Interviewing and assessment discipline, • Market intelligence and advising leaders Employer Brand, University & Talent Pipelines • Strengthen Global Industrial’s employment brand across corporate and operational audiences., • Own early‑career strategy, including campus, internship, and rotational pipelines where applicable., • Expand diverse talent pipelines through targeted sourcing, partnerships, and community engagement. Recruitment Technology, Data & Governance • Own TA tools and systems (ATS, sourcing tools, assessments) and continuously improve adoption and effectiveness., • Establish a metrics‑driven TA operating model, including dashboards and regular reporting on:, • Time‑to‑fill, • Cost‑per‑hire, • Quality‑of‑hire, • Diversity outcomes, • Hiring manager and candidate experience., • Ensure compliance with employment laws, internal policies, and audit requirements., • Vendor & Budget Management, • Manage external recruiting partners, agencies, and vendors, including fee negotiation and performance accountability., • Own the TA budget and ensure cost‑effective hiring outcomes. Competencies and skills • Bachelor’s degree in Human Resources, Business, or related field (Master’s preferred)., • 12–15+ years of progressive Talent Acquisition experience, including 5+ years leading TA teams., • Experience supporting distribution, supply chain, sales, and/or industrial environments., • Proven success scaling hiring across multiple locations and role types., • Strong executive presence and ability to influence senior leaders., • Data‑driven mindset with experience using metrics to drive change. Preferred • Experience in a multi‑site, labor‑intensive, or transformation environment., • Exposure to global or offshore talent models., • Experience improving recruiting operations during periods of growth, modernization, or labor market tightness. Critical Leadership Competencies • Strategic thinking with strong execution bias, • Business partnership and influencing skills, • Operational discipline and process rigor, • People leadership and talent development, • Change leadership and continuous improvement mindset Success Measures (First 12–18 Months) • Improved time‑to‑fill and pipeline health across critical roles, • Increased hiring manager confidence and satisfaction, • Clear TA operating rhythm with transparent metrics, • Stronger bench for leadership, IT, and DC talent, • Elevated employment brand in competitive talent markets Compensation: The pay range for this position is $125,000 to $150,000. The exact compensation offered will be determined based on the candidate’s experience, skills, qualifications, and internal equity, as well as market considerations.

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Produce clear technical documentation, diagrams, and guidelines. Required Qualifications • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Excellent communication and documentation skills. Preferred Qualifications • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Knowledge of API-based data integrations. Soft Skills • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

Job DescriptionAmalgamated Bank seeks a HR Director, SVP that will serve as a key member of the Human Resources and Executive Leadership Team (ELT). This strategic leader is responsible for overseeing the bank’s Human Resources Business Partner (HRBP) teams, ensuring alignment with divisional goals, and leading enterprise-wide Talent Acquisition. The SVP, HR Director will directly support the Banking & Investments and Risk divisions, acting as a trusted advisor and strategic partner to divisional leadership.Key Responsibilities • Strategic HR Leadership: Develop, implement, and execute HR strategies that support the overall business objectives of the bank. Drive organizational effectiveness, workforce planning, and change management initiatives across all divisions., • HR Business Partner Management: Lead and manage a team of strategic HR Business Partners aligned to the bank’s major divisions, ensuring consistency in HR practices, policy implementation, and talent strategies., • Talent Acquisition: Oversee the Talent Acquisition function, ensuring the bank attracts, hires, and retains top talent. Develop and execute recruitment strategies that align with the bank’s mission and goals, as well as future workforce needs., • Divisional HR Support: Act as the primary HR leader supporting the Banking & Investments and Risk divisions, partnering with divisional executives to identify business needs, drive talent management initiatives, and resolve complex employee relations matters., • Executive Collaboration: Advise and influence executive leadership on organizational design, succession planning, performance management, and employee engagement., • Compliance and Best Practices: Ensure HR programs and policies are compliant with federal and state regulations. Stay current with industry trends and best practices to maintain a competitive edge in HR management., • Culture and Engagement: Champion the bank’s values and culture by leading initiatives that foster a positive, inclusive, and high-performing workplace.Qualifications, • Bachelor’s degree in Human Resources, Business Administration, or related field required; Master’s degree or HR certifications (SPHR, SHRM-SCP) preferred., • Minimum 12 years of progressive HR experience, including senior leadership roles within large, complex financial institutions., • Demonstrated experience managing HR Business Partners and Talent Acquisition functions., • Proven track record supporting multiple business divisions., • Strong strategic thinking, business acumen, and executive presence., • Excellent communication, interpersonal, and relationship-building skills., • Deep knowledge of employment law, HR best practices, and regulatory requirements.Reporting Structure The SVP, HR Director reports directly to the Chief Human Resources Officer (CHRO). Direct reports include Strategic HR Business Partners, Talent Acquisition Manager, and HR Coordinators. Compensation and Benefits Competitive compensation package, including base salary, performance-based incentives, and comprehensive benefits. Equal Opportunity Statement Amalgamated Bank is an Equal Opportunity Employer. We value and are committed to creating an inclusive environment for all employees. Our job titles may span more than one career level. The starting base salary for this role is between $180,000 – $225,000. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Ensure our data is always available by participating in our on-call rotation. Requirements • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs. Responsibilities: • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR, • Creating and maintaining data extraction, transformation, and loading processes, • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB, • Implementing data lakes using S3 and related AWS services, • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude, • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases, • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex, • Writing and testing SQL queries and stored procedures, • Documenting technical solutions and providing knowledge transfer to customers, • Supporting the implementation of data governance and security controls, • Troubleshooting and resolving issues with data pipelines and AI services, • Participating in code reviews and implementing feedback, • Assisting with proof-of-concept implementations for customer engagements Top candidates will have the following: • Technical familiarity with AWS data and AI/ML services and modern data engineering practices, • Hands-on experience with ETL/ELT processes and data transformation, • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks, • Ability to write and optimize SQL queries across various database platforms, • Knowledge of data modeling concepts and best practices, • Strong analytical and problem-solving skills, • Eagerness to learn new technologies and keep up with cloud and AI innovations, • Excellent communication skills with the ability to explain technical concepts clearly, • Attention to detail and commitment to solution quality, • Collaborative mindset with strong teamwork capabilities, • Experience or interest in automation and infrastructure as code Required Experience for the Role: • Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development, • Must have 2+ years of hands-on AWS experience with production deployments, • Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents), • Must have a proven track record delivering production AI applications from concept to deployment, • Must have strong understanding of software engineering best practices (version control, testing, code review, documentation), • Must have experience working in agile/scrum environments with distributed teams, • Must have excellent problem-solving skills and ability to work independently with minimal supervision, • Must have strong written and verbal communication skills for client-facing interactions The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Role Summary We are seeking a highly skilled and forward-thinking Data Architect who combines strong strategic vision with hands-on technical expertise. This role will be responsible for defining the organization’s data strategy, designing scalable data architectures, and actively contributing to implementation across all data-driven initiatives. The ideal candidate will bridge business and technology, ensuring data solutions align with organizational goals while being robust, secure, and future-ready. Key Responsibilities 1. Data Strategy & Governance · Define and drive the enterprise data strategy, aligned with business objectives. · Establish data governance frameworks, policies, standards, and best practices. · Lead data architecture roadmaps covering data platforms, integration, storage, and analytics. · Partner with business stakeholders to identify data-driven opportunities and ensure value realization. · Ensure compliance with data privacy, security, and regulatory requirements. 1. Architecture Design · Design and own end-to-end data architecture (batch, real-time, streaming). · Develop scalable solutions across: o Data Warehousing / Data Lakes / Lakehouses o Cloud platforms (Azure, AWS, GCP) o Big Data ecosystems · Define data models (conceptual, logical, physical) for enterprise systems. · Establish standards for data integration, APIs, and metadata management. 1. Hands-on Technical Leadership · Actively participate in solution design and development (not just oversight). · Build and review: o Data pipelines (ETL/ELT) o Data ingestion frameworks o Data transformation processes · Optimize performance, scalability, and reliability of data systems. · Conduct architecture reviews, code reviews, and design validations. 1. Platform & Technology Enablement · Evaluate and recommend tools, technologies, and platforms. · Drive adoption of modern practices such as: o DataOps o MLOps (where applicable) o Data Mesh / Data Fabric paradigms · Enable self-service analytics and business intelligence capabilities. 1. Stakeholder Management · Collaborate with: o Business leaders o Engineering teams o Product managers · Translate business requirements into technical solutions. · Mentor and guide data engineers, analysts, and other architects. Company DescriptionK-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years. Why K-Tek K-Tek has a tenet of excelling at delivering resources and solutions based on its experience, integrity, distinction in delivery, reduced turn-around time and the consistency at being the "First Time Right". Vision / Mission At K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right. K-Tek Resourcing LLC is one of the leaders in Resourcing industry with a portfolio of over 300+ consultants working at different client’s sites. Our commitment to compliance, excellent client servicing and superior quality has positioned us for sustained success.K-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years.\r\n\r\nWhy K-Tek\r\nK-Tek has a tenet of excelling at delivering resources and solutions based on its experience, integrity, distinction in delivery, reduced turn-around time and the consistency at being the "First Time Right".\r\n\r\nVision / Mission\r\nAt K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right.\r\n\r\n K-Tek Resourcing LLC is one of the leaders in Resourcing industry with a portfolio of over 300+ consultants working at different client’s sites. Our commitment to compliance, excellent client servicing and superior quality has positioned us for sustained success.

Job Description Role: Lead AI & Analytics Engineer US Remote • Experience: 6–9 years, • AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1–2 years of direct experience in the domain, • Data engineering experience would be good, including orchestration, data modeling, and platforms such as Databricks, Snowflake, or GCP We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization. This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively. Responsibilities • Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources, • Develop and optimize batch and near real-time data processing pipelines for analytics and reporting, • Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases, • Implement and maintain data models that support efficient querying and reporting, • Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies, • Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines, • Exposure to AI initiatives and experience building data pipelines supporting AI workflows, • Work with data architects and engineering teams to implement scalable data platform designs, • Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs, • Maintain documentation for data pipelines, data models, and data workflows

Job Description Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team! What You'll Do • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models., • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency., • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production., • Partner closely with data analysts, data scientists, and product teams to design clear, wellmodeled datasets that are easy to use. Who You Are • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work., • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows., • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses)., • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings)., • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career., • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams)., • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances., • Strong communication and collaboration skills—you’re proactive, kind, and enjoy working closely with crossfunctional partners. What We Offer • Competitive base salary ($150-300k DOE), • Equity, • Comprehensive benefits package (Medical, Dental, Vision), • Flexible hybrid schedule, • Real ownership in a high-growth and cutting-edge environment, • High exposure, working closely with leadership, • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates, • Fun, professional, and innovative company culture, • Mission-driven vision to fix US healthcare systems So, if you're a Data Engineer ready to make a difference, please apply today!

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 DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making, • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design, • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity, • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention), • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes, • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach, • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigorRequirements, • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams, • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders, • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.), • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation, • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement), • Excellent ability to communicate, collaborate, and influence business partners at all levels, • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/weekBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the Role We're looking for a Senior Business Intelligence Analyst to lead and define the analytics function at Canary. You'll be the go-to expert on all things data and analytics — owning the strategy, infrastructure, and outputs that the business relies on to make decisions. You'll work across every function and directly with enterprise customers, shaping not just what we measure but how we think about data as a company.What You'll Do • Own the analytics strategy and roadmap — define the vision for how Canary uses data, what we measure, and where we invest in analytics capabilities, • Be the company's analytics expert — serve as the authority on our data, metrics, and analytical best practices across all teams, • Lead the architecture of our analytics platform in partnership with data engineering, including tooling, data modeling, and warehouse design decisions, • Build and own the data pipelines and business analytics that power reporting and decision-making across the organization, • Design and maintain dashboards and analyses that give leadership and cross-functional teams clear visibility into business performance, • Drive strategic conversations with product, sales, go-to-market teams, and leadership — proactively identifying opportunities and risks in the data, not waiting to be asked, • Work directly with enterprise customers on data feeds, custom reporting, and analytics integrations, • Own and evolve our KPIs and metrics frameworks — ensure the company has a consistent, well-understood set of metrics and that teams are aligned on definitions and methodology, • Establish and maintain comprehensive data documentation and a metrics source of truth — build the processes and culture that make data accessible and understandable to everyone at Canary, • Set and enforce data quality standards through governance practices, validation, and cross-team accountability, • Enable self-serve analytics across the organization by building intuitive data models, tooling, and documentation that reduce dependency on ad-hoc requestsWhat We're Looking For, • 5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end, • Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift), • Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase), • Strong understanding of data pipeline tooling and ETL/ELT concepts, • Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations, • Strong communication and presentation skills — comfortable engaging with executive leadership and enterprise customers alike, • A knack for documentation and knowledge sharing — you believe that data is only useful if people understand it, • Opinionated about data quality and governance, with a track record of raising the bar, • Experience working cross-functionally and influencing decisions without direct authority, • Self-directed and comfortable with ambiguity — you don't need someone to tell you what to analyze next The base salary range for this role is $120,000-165,000. In addition to base salary, this position is eligible for a performance-based bonus paid quarterly, with a target of $12,000-25,000. annually. This brings the total expected cash compensation range to $140,000 - $180,000. Compensation is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate’s skill level, experience, and specific work location. This role may also include the opportunity to earn equity. We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits: Canary Days: As a company we want to ensure that the team has time to recharge. Each month we provide company wide days off to ensure there is at least one extended weekend or day off. Self Improvement Club: We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals. Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization. Travel Reimbursement: Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city! Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay. Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities • Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth., • Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior., • Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases., • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets., • Work independently in long focus sessions to create challenging scenarios for agent evaluation., • Ensure tasks have checkable answers without open-ended essays or subjective judgment calls. Qualifications Must-Have • BS or MS in CS or related field., • 3+ years in data engineering or analytics engineering., • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing., • Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites., • Clear written communication skills to articulate reasoning and encode it into deterministic rubrics. Compensation & Legal • Hourly contractor, • Strong contributors are promoted based on task quality and throughput. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionCompany Description At Informa, no two days and no two people are the same, and you'll find the freedom, opportunity and support of a fantastic community to make a real impact. We’re an international business that connects specialists with knowledge, helping them to learn more, know more and do more through live and on demand events, digital and data-driven services and academic research. We are home to over 14,000 colleagues across 30 countries and are a member of the UK’s FTSE 100 group of leading public companies. We’re thrilled to be named one of Britain's Most Admired Companies, a recognition highlighting the trust we’ve earned, the confidence we inspire in our investors, and our commitment to delivering long-term value and impact. In Global Support, we provide expert guidance and hands-on support to the Informa Group and Informa’s many business teams. Across tech, finance, legal, corporate development, HR, communications, operations and many other areas, we work collaboratively and flexibly to help our brands serve their customers and help the company succeed. Job Description This role is based in our New York / Dallas / Boulder or Phoenix offices. Marketing Data Operations Manager The Marketing Data Operations Manager is a technical leadership role within the Marketing Analytics Center of Excellence (CoE), responsible for ensuring that data governance and standards defined by the Commercial Data department are implemented effectively across all portfolios. This role owns the functional execution of data integrity, accuracy, and operational health, serving as the primary point of accountability for enterprise-wide data protocols. You'll manage the technical layer of data ingestion and quality control, ensuring the reliability of all downstream analytical outputs. Beyond maintaining technical excellence, you'll build and scale a high-performing data operations function capable of supporting growing business complexity while developing team members who combine technical mastery with strategic business thinking. This is a role for someone who thrives on precision, takes ownership of the technical foundation that makes great analytics possible, and sees data operations as a strategic enabler rather than a back-office function. You'll establish and oversee data hygiene audits, monitor the health of data pipelines between the central data warehouse and marketing execution platforms like Eloqua and Salesforce, and troubleshoot synchronization issues before they impact reporting. You'll architect scalable processes and systems that can flex across multiple portfolios and business units, while mentoring your team to become proactive problem-solvers who anticipate issues rather than simply react to them. You'll also serve as the technical liaison to the central Governance team, representing marketing-specific requirements in global standards and flagging emerging data quality risks. Success in this role means analysts and stakeholders trust the data completely, your team operates with minimal escalations, and data operations becomes a competitive advantage rather than a constraint. Reporting Line: VP, Marketing Analytics Key Responsibilities • Team Building and Technical Leadership: Recruit, develop, and mentor a team of Data Quality Analysts into technical specialists who understand both the "how" and the "why" behind data operations. Create development pathways that build expertise in data engineering, governance frameworks, and business context, preparing team members for expanded technical or leadership roles., • Scalable Infrastructure and Process Design: Design and implement data operations workflows, quality control frameworks, and monitoring systems that can scale across multiple portfolios and business functions. Build automation and efficiency into routine processes to increase team capacity without proportional headcount growth., • Standards Implementation and Governance Execution: Lead the effective implementation of data governance and architectural standards defined by the Commercial Data Governance team. Ensure all portfolio-level data remains compliant with enterprise naming conventions, taxonomies, and quality thresholds, while adapting global standards to marketing-specific use cases., • Technical Integrity and Quality Control: Establish and oversee routine data hygiene audits, validation workflows, and quality monitoring dashboards. Implement proactive alerting systems that identify data anomalies before they impact downstream analytics or executive reporting., • Data Pipeline Management and System Health: Monitor the health and performance of data pipelines between the central data warehouse and marketing execution platforms (e.g., Eloqua, Salesforce, IIRIS, CDP). Troubleshoot synchronization issues, latency problems, and integration failures with speed and precision., • Strategic Partnership and Opportunity Identification: Work closely with the Data Strategy Manager to identify opportunities where improved data quality, new data sources, or enhanced technical capabilities can unlock business value. Translate strategic analytics initiatives into operational requirements, ensuring the technical foundation supports innovation and advanced analytical use cases., • Governance Liaison and Strategic Representation: Serve as the technical point of contact for the central Governance team, ensuring marketing-specific requirements are represented in global standards. Advocate for the CoE's operational needs, flag emerging data quality risks, and contribute to enterprise-wide data strategy discussions., • Operational Oversight and Source Data Management: Maintain local control over data entry points and system integrations to ensure data accuracy at the source. Implement validation rules, data entry standards, and user training to prevent quality issues from entering the ecosystem, particularly during centralized transitions or system migrations., • Cross-Functional Collaboration and Technical Consultation: Collaborate with the Senior Analytics Manager to ensure data operations support analytical delivery needs and reporting excellence. Provide technical guidance to portfolio teams on data best practices, system capabilities, and optimization opportunities., • Continuous Improvement and Innovation: Identify opportunities to leverage automation, AI-driven data quality tools, and emerging technologies to enhance operational efficiency. Stay current with industry best practices in data operations and governance, bringing external innovations into the organization. What Success Looks Like • Technical Team Excellence: Development of a high-performing data operations team characterized by deep technical expertise, proactive problem-solving, low error rates, and successful advancement of team members into expanded technical or leadership roles., • Scalable and Resilient Operations: Establishment of automated monitoring, quality control frameworks, and operational processes that successfully support multiple business functions with minimal manual intervention and clear pathways for scaling as data volumes and complexity grow., • Standard Compliance and Governance Leadership: 100% adherence to Commercial Data Governance standards across all managed portfolios, with the CoE recognized as a model for effective governance implementation across the enterprise., • Data Trust and Analytical Velocity: A validated, reliable data foundation that allows the Marketing Analytics team to deliver insights without manual data cleaning or intervention, reducing time-to-insight and increasing stakeholder confidence in analytical outputs., • Proactive System Health: Proactive identification and resolution of data source errors, pipeline issues, and quality anomalies before they impact executive reporting or business decisions, with measurable reductions in data-related incidents and escalations., • Operational Efficiency Gains: Documented improvements in data processing speed, quality control automation, and team productivity through process optimization and technical innovation.Qualifications Qualifications and Skills • Proven experience in data operations, technical data governance, or database management within a matrixed organization, with demonstrated ability to implement complex data standards and maintain system-wide accuracy at scale., • Strong team leadership and development capabilities, including experience building technical teams, creating training programs, and mentoring junior data professionals into senior technical or leadership roles., • Deep technical proficiency in SQL, Python, and managing enterprise-level data environments, including experience with ETL/ELT processes, data pipeline orchestration, and cloud data platforms., • Expertise in data governance frameworks and quality management, including experience implementing data quality dimensions (accuracy, completeness, consistency, timeliness), metadata management, and data lineage tracking., • Advanced technical troubleshooting and root-cause analysis skills, with the ability to diagnose complex system issues, identify upstream data problems, and implement sustainable solutions rather than temporary fixes., • Experience with marketing technology ecosystems, including familiarity with marketing automation platforms, CRM systems (Salesforce), CDPs, and data warehousing solutions., • Strategic thinking and organizational design abilities, including capacity planning, process optimization, and building scalable operations that anticipate future business needs., • Strong stakeholder management and communication skills, with the ability to translate technical concepts for non-technical audiences and advocate for data operations priorities with senior leadership., • Change management experience, including driving adoption of new data standards, tools, or processes across resistant or diverse stakeholder groups. Additional Information The salary range for this role is $70,000 - $100,000 based on experience and location. We believe that great things happen when people connect face-to-face. That's why we work in-person with each other, or with customers and partners, three days a week or more. When you’re not spending time together in one of our offices or other workplaces – like at an Informa event – you get the flexibility and support to work from home or remotely. We work hard to make sure Life at Informa is rewarding, supportive and enjoyable for everyone. Here’s some of what you can expect when you join us. But don’t just take our word for it – see what our colleagues have to say at LifeAt.Informa.com Our Benefits include: • Great community: a welcoming culture with in-person and online social events, our fantastic Walk the World charity day and active colleague groups and networks promoting a positive, supportive, and collaborative work environment, • Broader impact: take up to four days per year to volunteer, with charity match funding available too, • Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves, • Time out: 15 days PTO rising to 20 after three years and 25 after six years, plus 10 national holidays, a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year, • Competitive benefits, including a 401k match, health, vision and dental insurance, parental leave and an ESPP offering company shares at a minimum 15% discount, • Strong wellbeing support through EAP assistance, mental health first aiders, free access to a wellness app and more, • Recognition for great work, with global awards and kudos programs, • As an international company, the chance to collaborate with teams around the world We’re not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up, join in and help make things happen. If it sounds like a match and you have most – although not all – of the skills and experience listed, we welcome your application. If you would like to request reasonable adjustments or accommodations to assist your participation in the hiring process and, or in the advertised position, please inform the appropriate Talent Acquisition Partner for the role once they have been in touch. Your request will be reviewed and considered in confidence. At Informa, you'll find inclusive experiences and environments where all perspectives and backgrounds are welcomed. As part of this approach and our diversity and inclusion commitments, we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses, including all of those protected by law. Ask us or see our website for full information. See how Informa handles your personal data when you apply for a job here.

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at www.wavestone.com. Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Stay at the forefront of emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms. Key Competencies & Skills • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context., • Continuous Learning & Innovation: Commitment to staying ahead of industry trends and fostering innovation within teams. We are recruiting at Manager/Senior Manager grade. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us., • Together - We want to be a great team, not a team of greats. The team's strength is each individual member, each member's strength is the team. We are Energetic, Responsible and Together! Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance, • Employee Stock Options Plan (ESPP) Travel and Location This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem. You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready. This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on. We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today. Responsibilities • Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer, • Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts, • Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns, • Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model, • Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule, • Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data, • Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader, • Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve, • Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions, • Establish metrics that track progress, communicate priorities, and demonstrate business impact, • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data useRequirements, • 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams, • Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake, • Proficiency in Python (preferred) or another language strong enough to guide and review technical work, • Experience with workflow orchestration tools like Dagster, Airflow, or Prefect, • Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • This role requires 4 days per week in our NYC office (Flatiron District) Nice to Haves • Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST), • Experience with AWS cloud technologies, • Experience working in a startup environment, • Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries, • Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data, • Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on, • Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safeBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionSalary: $100,000 - $130,000 Company Overview At True Venture Group, we are more than a leader in community-based healthcarewe are catalysts for meaningful change. Our mission is to identify and nurture business opportunities that drive innovation, enhancing the health and well-being of the communities we serve. Our unwavering commitment to expanding access to care and promoting health equity fuels everything we do. We empower underserved populations with a diverse range of home-based care services, including Home Health Aide (HHA) services, Remote Patient Monitoring (RPM), Chronic Care Management (CCM), Independent Living Skills Training (ILST), Community Health Initiatives (CHI), and the Consumer Directed Personal Assistance Program (CDPAP). By navigating the complexities of the healthcare system, we ensure that high-quality care reaches those who need it mosthelping individuals thrive at home with dignity and independence. At True Ventures Group, we dont just shape businesseswe shape the future of care. Through strategic innovation, deep expertise, and an unwavering focus on excellence, we deliver transformative healthcare solutions that make a lasting impact. Together, we are redefining community-focused care and setting new standards for whats possible. Reports To: Director of Technical Operations & Analytics Role Summary We are seeking a Power BI Developer & Dashboard Developer with strong SQL and data modeling skills to design and deliver executive-level dashboards across multiple business systems. This role requires hands-on experience with Power BI and Microsoft Fabric, including data modeling, transformation, and pipeline management. You will work with data from Salesforce, HubSpot, Clinical and operational systems, HRIS, payroll, and other operational platforms to build scalable reporting solutions that support leadership and operational teams. Key Responsibilities Power BI & Fabric Development • Design and builddashboards using Power BI Desktop and Power BI Service., • Develop data models, DAX measures, and Power Query transformations., • Use Microsoft Fabric (Dataflows Gen2, Lakehouse, Warehouse, Pipelines) to ingest, transform, and manage datasets., • Implement incrementalrefreshandoptimizeperformance for large datasets. Data Engineering & Integration • Write advanced SQL (joins, CTEs, aggregations, window functions)., • Build andmaintainviews, tables, andreportinglogic in SQL environments., • Connect to APIs, cloud storage (AWS S3), databases, and flat files., • Structure data using star schema / fact-dimension modeling., • Manage ETL/ELT processes and handle data quality issues (deduplication, key mismatches, incomplete records). Analytics & Business Alignment • Translate business requirements into KPIs and technical solutions., • Validate data accuracy and resolve inconsistencies., • Deliver executive-ready dashboards and insights., • Manage multiple reporting projects with clear communication and ownership. Required Qualifications • 5+ years of hands-on Power BI development., • Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines)., • Advanced DAX and Power Query (M)., • Expert-level SQL skills., • Experience building scalable data models and ETL processes., • Experience integrating data from multiple systems and APIs., • Strong understanding of data architecture and performance optimization., • Ability to independently convert business discussions into technical solutions. Why Join Us? • Build high-visibility dashboards that influence operational and executive decisions., • Work directly with leadership in a role that has immediate impact., • Help shape a modern reporting infrastructure from the ground up., • Join a collaborative, growth-oriented team where your skills and ideas matter., • Be part of a mission-driven organization focused on improving patient care and caregiver operations. What We Offer • Comprehensive Medical, Dental, and Vision Benefits, • Weekly pay with direct deposit, • 9 Paid company holidays, • 401(k) Employer Matching

Job DescriptionSalary: Hello All, This opportunity is for a Data Architect- Iselin, NJ[Hybrid].Please find the job description below foryour reference. Please respond atyour earliestconvenience. Responsibilities: • Define and maintain reference architectures (Lakehouse, CDC, streaming) and domain data models (conceptual, logical, physical)., • Create and enforce data standards: naming conventions, data types, modeling practices, semantic definitions (aligned to business glossaries)., • Establish metadata operating model: ownership, stewardship, processes for Catalog, Glossary, Data Dictionary, and Data Lineage., • Integrate lineage capture across pipelines (ETL/ELT/streaming),BI layers, and ML workflows., • Architect cross-platform data flows across Databricks, Oracle/SQL Server, Snowflake and metadata tools., • Define IAM models: RBAC/ABAC, SSO/federation, SCIM provisioning; directory-driven entitlements and periodic access reviews., • Define catalog strategy (e.g., Unity Catalog/Purview/Collibra/Alation) and integrate with CI/CD for automated registration and lineage., • Design reusable pipeline frameworks with configuration-driven IO, logging, metrics, retry/error handling, and data quality checks. Required Qualifications • Data Modeling: Dimensional (star/snowflake), 3NF, Data Vault, business glossary-to-model mapping, SCD types, time-series/event modeling., • Metadata & Governance: Practical use and integration of Data Catalogs, Lineage,, • Oracle/SQL Server (data modeling, migration/CDC patterns)., • Snowflake (roles, warehouses, performance tuning, tasks/streams, dynamic tables)., • Databricks/Spark (SQL/PySpark, Structured Streaming, Delta Lake; Unity Catalog)., • Security & Compliance: IAM/RBAC, masking, tokenization, encryption; PCI/AML/KYC/GDPR/DPDP awareness., • Integration & Orchestration: Databricks Workflows, Airflow/ADF, API integrations with catalog tools; schema registry, • Exceptional interpersonal and collaboration skills within a team environment Other Job Details: • Location:Iselin, NJ[Hybrid Model], • Candidate rate: : $70 on C2C and $65 on W2, • Docs required:ID proofwill be required.

Job DescriptionDescription: Location: Flexible / Multi-Location Travel: 10–20% as needed Reports To: CIO We are hiring a Manager, Data & Analytics Engineering to build and scale the data infrastructure that powers analytics and decision-making across a multi-location home services platform. This is a hands-on technical leadership role responsible for integrating data across systems, building scalable data pipelines, and ensuring data is accurate, accessible, and structured for business use. You will partner closely with leadership to enable consistent reporting and drive revenue insights across operating companies. Requirements: Data Architecture & Engineering • Design and maintain scalable data architecture across multiple business units, • Build and manage ETL/ELT pipelines across CRM, marketing, finance, and operations systems, • Develop and maintain centralized data warehouse solutions (Snowflake, Redshift, etc.), • Structure datasets to support reporting, analytics, and business intelligence Data Integration & Systems, • Integrate data across systems (Salesforce, NetSuite, marketing platforms, field systems), • Develop unified data models to support cross-company reporting, • Automate data ingestion, transformation, and workflows, • Ensure reliable, consistent data flow across systems Data Quality & Governance, • Establish and maintain data definitions and KPI logic, • Ensure data accuracy, consistency, and completeness, • Monitor data quality and resolve discrepancies, • Standardize reporting metrics across operating companies Analytics Enablement, • Build and maintain data models to support BI tools (Sigma, Tableau, Power BI), • Enable self-service analytics by improving data accessibility, • Partner with analytics and business leaders to support reporting needs Automation & Scalability, • Automate data workflows using SQL and modern data tools, • Reduce manual reporting and data reconciliation, • Identify opportunities to improve efficiency and scalability What Success Looks Like • Scalable, reliable data models supporting revenue analytics, • Consistent KPI definitions across operating companies, • Reduced manual reporting and improved efficiency, • Timely, accurate data supporting business decisions Qualifications • 5–8+ years in data engineering, analytics engineering, or related roles, • Experience building data pipelines and integrating multiple data sources, • Experience in multi-location or multi-entity environments preferred, • Bachelor’s degree in Computer Science, Engineering, Analytics, or related field (or equivalent experience) Technical Skills, • Advanced SQL (required), • Data modeling and data architecture, • ETL/ELT tools (Fivetran, Stitch, or similar), • Data warehousing (Snowflake, Redshift, or similar), • dbt (Data Build Tool), • Cloud platforms (AWS preferred), • BI tools (Sigma, Tableau, Power BI), • Python (preferred), • Version control (GitHub or similar) Systems Experience, • Salesforce, • NetSuite, • Google Analytics (GA4), Google Ads What We Are Looking For • Strong technical builder who can design and scale data systems, • Detail-oriented with high standards for data accuracy, • Ability to translate business needs into technical solutions, • Comfortable in a fast-paced, growth-oriented environment, • Collaborative and able to partner across technical and business teams Why Join Us • High-impact role supporting revenue and business performance, • Opportunity to build and scale data infrastructure from the ground up, • Exposure to executive leadership and strategic initiatives, • Fast-growing, multi-entity platform environment

Job Description Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… Have 3+ years of hands-on experience building production data pipelines using Python Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $135K - $190K

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Powered by JazzHR RdEDRGP9Ti

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling, • Partner closely with product and engineering teams to translate requirements into reliable infrastructure solutions What Our Client Is Looking For Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Strong collaboration and communication skills—able to work cross-functionally and operate with high ownership Preferred Qualifications • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • Background in SRE practices: incident response, post-mortems, reliability engineering Why This Role • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job Description What You'll Do: Are you infinitely curious, always looking to dig into new problems and learning how to solve them? Are you a highly organized professional who can implement processes and procedures without destroying creativity and entrepreneurial initiative? Do you thrive digging into data to fully understand a business and identify opportunities? Do you get energy working across all levels of an organization, understanding your teammate’s contributions and working to align everyone with common objectives and outcomes? Would you like to be part of a company that helps the digital advertising ecosystem thrive and grow? If this is you, and you are looking to join a company where you can have an immediate impact, this is the job for you. IAB (Interactive Advertising Bureau) seeks an ambitious, dynamic, entrepreneurial Chief of Staff to support our CEO. You will serve as a force multiplier to the CEO and the company’s Leadership Team. In this role, you will provide critical operational and strategic support to the CEO and executive leadership team to enable efficient and effective operations. You will provide guidance and leadership around the execution of IAB strategic imperatives, deliver on the company operating plan, and enable data-informed business decisions. From day one, the Chief of Staff will have an immediate impact by taking on various must-get-done projects to help keep the business running smoothly and efficiently. You’ll significantly impact our productivity and effectiveness by streamlining operations and processes to scale the business to the next level. You should be able to thrive in ambiguity as the Chief of Staff is a living, breathing, evolving role based on the needs of the business. What You'll Do: • CEO Collaboration: Act as a critical business partner to CEO and executive leadership team., • Strategic Input: Understand digital industry challenges/opportunities to provide strategic input to business planning and operations., • Strategic Counsel to CEO: Advice the CEO on the organization’s strategic direction and leadership team’s priorities, including strategy development and employee experience. Evaluate new ideas and business opportunities; conduct analysis and research to support key decisions., • Create Synergy: Across all facets of the organization, including Centers of Excellence, Member Engagement & Development, Public Policy, Legal, Research, Marketing, Events, Professional Development & Education, Program Management, and Operations., • Leadership Team Support: Own agenda and follow-ups for all Leadership Team meetings, support Leadership Team with project execution (timelines, work plans, materials, etc.), and ensure key cross-functional stakeholders are aware of Leadership Team initiatives and held accountable for their input/work product as needed., • Optimize Operations: Facilitate the optimal operation of committees, councils, and working groups. Work to streamline processes, evaluate alternative directions to achieve optimum organizational performance, and re-engineer to consistently improve results., • Problem-Solving: Collaborate across departments to create new solutions and services for members – optimize current offerings and suggest new approaches., • Cross-Functional Project Management: Oversee and lead the Program Management Office (PMO), establishing governance, prioritization frameworks, and execution standards across all strategic initiatives. Ensure alignment to organizational priorities, drive accountability through clear milestones and KPIs, and enable consistent, high-quality delivery across teams. Serve as a centralized hub for risk identification, mitigation, and escalation, proactively addressing dependencies, gaps, and execution challenges., • Build and maintain relationships: Develop and build upon relationships across all employees to help identify and define new operational strategies and processes, address cross-team challenges, and ensure an efficient flow of information and objectives., • ELT Meeting Management: Support the productivity of executive leadership team meetings by owning the planning, agenda, notes, and follow-up items including leading the programming, planning, and execution of the annual leadership offsite., • Operational Support: Own and continuously improve company operating cadence (e.g., executive team meetings, all hands, product development, operational check-in meetings, etc.), • Data, Insights & Performance Management: Own and drive a data-forward approach across the organization, including KPI refinement, dashboarding, and performance tracking; translate data into actionable insights to inform strategy, optimize execution, and enable leadership decision-making., • Strategy Planning & Execution: Own and oversee the company’s strategic planning process, including annual and quarterly planning cycles, ensuring alignment from high-level strategy through to execution across all functions and initiatives. Who you are: · Digital Media and Marketing is your Passion: You deeply understand the digital economy, have knowledge of advertising technology, AI, digital content, social media, measurement, and have a passion for advertising, marketing, and media. · Interpersonal Effectiveness: You are attuned to perceptions and how others feel and can leverage that insight to manage communication and behaviors. You have a high level of Emotional Intelligence, appreciate the impact of messaging and behaviors on others, and adapt actions to achieve goals. Demonstrates listening skills and empathy, working effectively with people of different backgrounds and diverging interests. · You Inspire Greatness: Your leadership style inspires and energizes individuals to strive towards a compelling future vision by embracing and embodying shared values and goals. · Engaging Executive Presence: You build credibility and exert influence beyond formal authority by portraying a professional image and presenting ideas clearly and confidently. · Strong Moral Compass: You are honest, forthright, and lead with integrity. You value transparency and keeping colleagues and stakeholders apprised of activities and developments. You can promptly communicate good or bad news inclusively and effectively. · You love what you do! And it shows you've been doing what you love for a while. You have years of direct experience working in Digital Media/Marketing and/or Business Management. You have a B.A./ B.S in a relevant field, and an MBA is a plus. · World Class Communicator: Some people get nervous speaking in public, but you are not one of those people. You love educating and speaking to an audience and have experience presenting to large audiences. · Solution Oriented: You're an intrepid problem-solver with a strong business sense. You're excited to dive into topics and quickly become an expert. You can distill your learning into clear, concise written summaries and reports. · Champion Effective Collaboration: You love working solo or with a team. You have experience engaging with teams cross-functionally, you know how to bring a team together to deliver results, all while considering all team members. · "Find A Way" Orientation: You are an entrepreneurial and creative thinker who wants to overcome barriers and obstacles productively and satisfactorily. · Maintains Perspective: While we operate in a fast-paced professional business environment, you know how to have fun, maintain a positive attitude and be flexible in response to changing business needs. · You are a Rock Star at Project Management: You have proven experience in project management, managing multiple projects simultaneously, and managing various constituents—a proactive approach to work is essential. PMP or other certification is a big plus. · Relationship Builder: You build and develop relationships with all employees for increased efficiency and effective responsiveness into existing operations and help to define new operational strategies. · Organizational architect: You leverage mutually beneficial relationships and networks and strategic alliances, both internally and externally, which generate opportunities for the mutual benefit of all parties. · You are digitally connected and savvy. You are highly proficient in Microsoft Office: Word, Excel, PowerPoint, Outlook, video conferencing platforms (e.g., Zoom), SharePoint. · Influencer: You can influence through respect, candor and trust. You lead and influence across multiple levels and functions of an organization. Why You'll Love IAB: · We team up. We promise you'll work with some of the industry's most innovative and exciting people. We work hard, and we have fun too. We care deeply about our work and each other. · We are purposeful, strategic, and mindful with our decisions, words, and behaviors. · Everybody sweeps. No task is ever too small for our team. We sweat the details and are not afraid to get our hands dirty. · We lead the future together and cultivate the action mindset to create it. · We cultivate curiosity, take risks, learn by doing, and reward future thinking. · We encourage all voices. Everyone is welcome and encouraged to share their thoughts and ideas. We embrace the idea that debate is healthy and know that an impassioned discourse leads to our best results. · We stay hungry. We look for the most complex challenges and tasks; once we master them, we look for the next one. We celebrate our victories and are always excited for tomorrow, knowing "good enough" is never really "good enough." Additional Information: All IAB employees must be fully vaccinated for COVID-19 as a condition of employment and, therefore, prior to job offer and hire. Religious and medical exemptions will be provided to the extent required. About IAB: The Interactive Advertising Bureau (IAB) empowers the media and marketing industries to thrive in the digital economy. Its membership comprises more than 700 leading media companies, brands, and the technology firms responsible for selling, delivering, and optimizing digital ad marketing campaigns. The trade group fields critical research on interactive advertising, while also educating brands, agencies, and the wider business community on the importance of digital marketing. In affiliation with the IAB Tech Lab, IAB develops technical standards and solutions. IAB is committed to professional development and elevating the knowledge, skills, expertise, and diversity of the workforce across the industry. Through the work of its public policy office in Washington, D.C., the trade association advocates for its members and promotes the value of the interactive advertising industry to legislators and policymakers. Founded in 1996, IAB is headquartered in New York City. The IAB Global Network brings together 45 national IABs and three regional IABs to share challenges, develop global solutions and advance the digital advertising industry worldwide. IABs are located in North America, South America, Africa, Asia Pacific, and Europe. Each association is independently owned and operated, functioning under bylaws consonant with local market needs. IAB is a proud equal-opportunity employer. We are a drug-free EEO employer committed to a diverse workforce. We will consider all qualified candidates regardless of race, color, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, education, political affiliation or veteran status. For more information, please visit https://www.iab.com

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role: We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms. You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems. What You'll Do: • Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics., • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability., • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products., • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business., • Ensure Quality: Champion high standards for development, including robust change management, source control, code reviews, and data monitoring as our products and data evolve. What You Need (Must-Haves): • 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT., • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models., • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment., • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency., • Technical Versatility:, • Expert-level SQL and DBT skills for complex queries and data transformations., • Proficiency in Python for transformations that extend beyond SQL., • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg)., • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer)., • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git)., • Familiarity with cloud environments (GCP or AWS). Nice to Haves: • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow)., • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Fluxx is looking for a strategic, systems-thinking Senior Product Manager, OneFluxx to own and evolve the internal operating system that powers how we work. As the Senior Product Manager for OneFluxx, you'll own the vision, strategy, and execution of the platform that unifies data across every enterprise tool we use and turns it into actionable insight. You'll treat internal stakeholders and employee-submitted proposals like customers — understanding their needs, prioritizing with clear business cases, and shipping pragmatic solutions that increase company velocity, output per employee, and quality of execution. You'll partner directly with VPs and C-level leaders to align on the roadmap for the highest-ROI investments, and lead build-vs.-buy decisions, and own data security, privacy, and access controls. You'll also create the playbooks — including how PMs across Fluxx leverage AI in product design and discovery — that scale how every team operates as we grow. This is a high-ownership, executive-facing role that blends product management, operations strategy, and data leadership. We are looking for people who are curious, tenacious, candid, and have a bias toward action. We welcome diverse perspectives and encourage you to apply if you think you can bring value to our team – even if your experience doesn't perfectly match the job description. This is a full-time, exempt position. Candidates must be located in the United States. About Fluxx: At Fluxx, our mission is to be the leading collaborative grant management platform in our global communities. We build technology that drives positive impact by helping foundations, government agencies, and nonprofits streamline the grantmaking process—making it easier to get funding to the organizations that need it most. Founded by grantmakers, Fluxx was built on the belief that the systems supporting philanthropy should be as thoughtful and strategic as the missions they serve. For more than 15 years, we've helped organizations move away from manual processes and legacy tools to a flexible, AI + data-driven platform that supports the full lifecycle of grantmaking. Today, Fluxx supports a global community of 500+ customers who collectively manage and distribute more than $39B in grants annually. How you will make an impact/What you will do: • Partner across the Executive Leadership Team (ELT) to develop, refine, and communicate the vision for OneFluxx across the company and our customer community., • Own product strategy, roadmap, and execution for OneFluxx, maintaining a holistic view of how systems, teams, and data connect across the company., • Serve as the internal "data head" — mapping, connecting, and rationalizing data sources across departments so leadership and teams can make faster, evidence-based decisions., • Run a transparent intake and prioritization process for employee-submitted proposals, evaluating every initiative through a clear business case and build-vs.-buy lens (cost, speed-to-value, security, compliance)., • Partner with InfoSec and Legal to design and enforce data-access, privacy, and governance controls that meet enterprise-grade standards., • Lead rollout and change management for new systems and workflows — driving high adoption through clear communication, documentation, and stakeholder enablement., • Continuously monitor, improve, and maintain features over time to ensure continued success of the platform and internal "customer" use cases. What you bring to the team/ About you: • 8+ years in product management, operations, or a related data/systems role within a technology or SaaS environment, with a track record of owning and shipping end-to-end products that drive adoption — not just delivery., • Demonstrated experience consolidating disparate enterprise tools and data sources into unified platforms, dashboards, or internal operating systems used across multiple functions., • Strong business-case and prioritization skills — you can quantify impact, evaluate competing requests, and communicate trade-offs to executives, while operating just as comfortably at the tactical level (writing acceptance criteria, defining success metrics)., • Working knowledge of data architecture, APIs, integrations, and modern analytics/BI tooling, plus a deep understanding of the security, privacy, and access-control principles that come with enterprise data environments., • Highly relational systems thinker who builds trust across levels of the org, surfaces what's real (not just what's visible), and designs scalable solutions to ambiguous, cross-functional problems., • High-ownership operator and change agent — self-directed, holds the prioritization line, and equally focused on shifting how teams work as on shipping. Bonus: experience in grantmaking, philanthropy-tech, or other mission-driven SaaS. Salary: Fluxx is committed to fair, transparent, and equitable compensation practices. We use a market based approach that considers cost of labor by geographic region, along with company size and industry benchmarks. This role is categorized into three compensation zones based on location. Fluxx is currently seeking candidates located in New York City for this role. • Zone 1 – New York City $195,000 - $200,000 The range listed reflects the expectations outlined in this job description. The final salary and commission package will be determined based on, but not limited to: (a) the candidate's location, (b) individual skills and qualifications, and (c) relevant experience. Benefits: Fluxx offers the following benefits for the position subject to applicable eligibility requirements: Medical, dental, and vision insurance; Flexible time off; Paid sick leave; 12 weeks of fully-paid parental leave; Annual learning and development stipend; Internet stipend; One-time home office set-up stipend; 401(k) retirement plan with company match. This position is also eligible for incentive stock options, subject to the terms of Fluxx's applicable stock plans. More About Fluxx: We are a people-first and inclusive workplace committed to continuous learning. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a GTM Engineer at Nextdoor, you'll sit at the center of our revenue engine - connecting systems, data, and workflows across Sales, Marketing, and Customer Success. This is a highly cross-functional role that blends engineering, data, and business strategy to drive efficient, scalable growth. You'll be responsible for building the infrastructure and automation that powers the entire lead-to-revenue lifecycle. From designing clean, reliable data pipelines to deploying AI-driven workflows, your work will enable teams to move faster, prioritize smarter, and operate with precision. This role reports to the Head of Revenue Operations and partners closely with Sales, Marketing, Customer Success, Product, and Data/Engineering. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make This role is critical to scaling Nextdoor's go-to-market motion. By transforming fragmented systems and inconsistent data into a unified, intelligent engine, you'll enable faster execution, better decisions, and more predictable revenue growth. In this role, you will architect and scale the systems that underpin Nextdoor's go-to-market motion. You'll replace manual processes with intelligent automation, ensure data integrity across platforms, and unlock actionable insights that drive revenue growth. Your work will directly improve sales productivity, enhance data trust, and enable better decision-making across the business. By unifying systems and data into a cohesive engine, you'll help accelerate pipeline generation, conversion, and customer expansion. What You'll Own • GTM Systems Integration & Automation: Design and connect systems across CRM, marketing automation, enrichment tools, and AI platforms. Build workflows that automate prospecting, lead routing, enrichment, and lifecycle management., • Data Pipelines & Infrastructure: Develop and maintain scalable ETL/ELT pipelines that ingest, transform, and sync data across GTM systems and the data warehouse. Ensure data is timely, reliable, and production-ready., • GTM Data Modeling & Quality: Build and own structured datasets across pipeline, funnel, lifecycle, and account models. Ensure CRM and downstream data is clean, enriched, and trustworthy., • AI & Workflow Implementation: Leverage AI tools and LLM-based workflows to enhance prospect research, lead scoring, and personalized outreach. Continuously improve performance through feedback loops and iteration., • Revenue Systems Engineering: Partner cross-functionally to design systems that identify high-fit prospects (ICP), improve conversion rates, and proactively surface churn and expansion opportunities., • Analytics & Reporting Enablement: Develop BI models and dashboards that provide real-time visibility into pipeline, conversion, and revenue performance. Establish consistent metrics and a single source of truth. Your responsibilities will include: • Build and automate end-to-end GTM workflows (enrich → score → route → engage), • Design and maintain data models powering scoring, forecasting, and lifecycle tracking, • Connect and manage the GTM tech stack across CRM, data platforms, and AI tools, • Implement AI-driven workflows that reduce administrative burden for Sales, Customer Success, Marketing, and Data teams - enabling more strategic prioritization, deeper customer research, and highly personalized communications, • Develop dashboards and datasets that enable self-serve analytics, • Monitor, debug, and continuously optimize systems and data pipelinesWhat You'll Bring To The Team Technical & Tooling Expertise: • 6–8+ years in Growth, GTM Engineering, Revenue Operations, or a related technical role, • Strong hands-on experience with SQL, Python, and data modeling, • Proven experience building scalable data models and reporting systems, • Experience with BI tools (e.g., Looker or similar), including deployment and governance, • Familiarity with CRM platforms (e.g., Salesforce, HubSpot), integration tools (e.g., Workato, Zapier), and enrichment/AI tools (e.g., Clay), • Experience building or deploying AI agents or workflows for GTM use cases, • A passion for community building, to inspire a more inclusive team and diversity of thought, both at Nextdoor and in your own neighborhoods Systems Thinking: • Ability to design and connect tools, data, and workflows into a cohesive GTM system aligned to business goals Builder Mindset: • Proven ability to identify inefficiencies and replace them with scalable, automated solutions Analytical Rigor: • Comfort working across raw data and business metrics to diagnose issues and measure impact Business Acumen: • Strong understanding of SaaS sales cycles, demand generation, and the end-to-end revenue funnel Collaboration and Ownership: • Excellent communication skills and ability to partner cross-functionally, • Track record of owning initiatives end-to-end and delivering measurable impactRewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. The starting base salary for this role is expected to range from $135,000 - $165,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business. This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you'll be doing: • Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake., • Design, extend, and optimize data models across backend systems and the data warehouse., • Ensure data reliability, integrity, and timeliness across all systems and reporting layers., • Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries., • Develop dashboards and self-serve analytics tools for product, clinical, and operations teams., • Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools)., • Integrate and reconcile multiple data sources into a consistent and trusted source of truth., • Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions., • Evaluate and implement tools for data orchestration, transformation, and scaling the data platform., • Continuously improve data architecture to support a transition from scrappy workflows to scalable systems. What success looks like in this role: • The team trusts data and uses it daily for decision-making, • Key metrics are clearly defined, consistent, and easy to access, • Data discrepancies are proactively identified and resolved, • New data questions can be answered quickly without reinventing pipelines, • Dashboards and reporting tools are widely adopted and reduce reliance on ad hoc requests. What we expect from you: • 5+ years of experience in data engineering, analytics engineering, or similar roles, • Strong SQL skills (Snowflake or similar data warehouse experience required), • Experience working with backend systems (Python, Postgres or similar), • Proven ability to build and maintain data pipelines (ELT/ETL), • Experience working with product analytics tools (e.g., Mixpanel, Amplitude), • Strong intuition for data quality and debugging inconsistencies across systems, • Ability to turn ambiguous questions into structured analysis and insights, • Comfortable operating in a high-autonomy, fast-moving environment Nice to Have • Experience with tools like dbt, Airflow, Dagster, or similar, • Experience designing event tracking systems, • Exposure to healthcare or regulated data environments, • Experience building a data stack from early stage to scale The target base salary range for this position is $159,100 - $196,480, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Rapidly prototype user interfaces for internal tools and data exploration, leveraging frameworks like Streamlit, Gradio, or other similar tools that facilitate quick iteration and integration without persistent websockets Skills/Experience you have: • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Bachelor's or Master's degree in Computer Science or a related field Skills/Experience preferred: • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Experience with Feature Stores or ELT processes Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance, • Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Director, Platform Development to lead the design, buildout, and evolution of our modern data platform. This is a hands-on leadership role for someone who is equally comfortable writing production code, setting architectural direction, and managing a small but growing team. In the near term, this role will be a key individual contributor responsible for building foundational platform capabilities. Over time, the focus will shift toward people leadership, planning, and execution management as the team scales. This role reports to the VP of Data Platforms and is expected to act as a technical and operational anchor for the organization. Responsibilities • Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript, • Establish and evolve platform architecture, design patterns, and engineering standards, • Own and triage intake requests, balancing short-term delivery with long-term platform health, • Partner closely with governance, analytics, and downstream consumers to ensure the platform supports:, • Scalable data ingestion and access patterns, • Lakehouse-style architectures, • ELT pipelines, • Metadata, lineage, and governance requirements, • Build and maintain CI/CD pipelines that enable safe, repeatable, and observable deployments, • Set expectations and best practices around:, • Object-oriented design and proven design patterns, • Test-driven development (TDD) and strong automated test coverage, • Secure development lifecycle (SDL) principles, • Hire, mentor, and manage engineers as the team grows, • Conduct code and design reviews, providing clear technical guidance, • Collaborate effectively in a matrixed enterprise environment with both legacy systems and modern platforms, • Gradually transition from primary IC to people and execution leadership as the platform maturesQualifications, • Deep foundation in software engineering fundamentals, including:, • Object-oriented programming, • Design patterns, • API and service design, • Solid understanding of data engineering concepts, including:, • Lakehouse architectures, • ELT pipelines, • Data governance, metadata, and lineage, • Experience building modular or microservice-based systems, • Demonstrated experience leading or mentoring engineers (formal people management experience preferred, but not required), • Strong commitment to code quality, testing, and automation, • Hands-on experience with CI/CD pipelines and modern DevOps practices, • Comfortable operating with a high degree of ownership in a lean, fast-moving environment, • Strong communicator who can translate between technical and non-technical stakeholders Nice to Have • Experience with ML platforms or services (e.g., Databricks, AWS Bedrock), • Familiarity with analytics and BI tools (Tableau, Power BI, or similar), • Experience working in media, streaming, or large-scale enterprise environments, • Prior experience modernizing or integrating legacy systems into cloud-native platforms Additional Requirements: • Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $170,000 - $210,000 (bonus and long-term incentive eligible) We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.