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Role Overview A senior, client-facing role that combines sales acumen with technical fluency. This person partners with GTM / regional / industry business units to surface customer challenges, shape proactive proposals, and drive new Data & AI engagements - all while being technically credible and business savvy. Key Responsibilities • Collaborate with sales / GTM leadership to target and qualify Data & AI opportunities in assigned regions or industry verticals, • Engage with client stakeholders to understand their business priorities and convert them into solution proposals, • Lead discovery workshops, solution roadmaps, and client presentations (executive and technical levels), • Coordinate with solution architects, delivery teams, and account teams to validate and refine proposals, • Stay current with Data, AI, cloud, and industry trends, and surface those insights in client conversations, • Be able to engage in deeper technical dialogues, without always having an architect present, bridging business vision and technical detail Core Qualifications • 15–18 years’ experience across IT / consulting / services, with track record in sales, solutioning, or technical roles, • Solid familiarity with cloud platforms (Azure, AWS, GCP), data platforms (e.g. Databricks, Snowflake, Spark), and AI/ML concepts, • Strong pre-sales experience: RFPs, proposals, technical & executive-level presentations, • Ability to articulate and translate technical solutions into business outcomes and ROI, • Excellent communication, stakeholder management, and self-starting / multitasking capabilities, • Bonus: prior hands-on technical experience or experience collaborating with product/tech partners Why This Role? • Drive Data & AI growth at the intersection of business, sales, and technology, • Influence and shape engagements end-to-end - from discovery through solution delivery, • Engage with C-suite, technical leaders, and client teams across global organizations, • Position yourself as a thought leader who can straddle both the business and technical world

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. 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 practices Required 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 levels Preferred Qualifications Experience with Microsoft Fabric ecosystem, Databricks Exposure to data governance, data quality, and metadata management frameworks Familiarity with AI/ML integration in data platforms Success 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. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) ("Notice") explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and * How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective Insurance is seeking an energetic and collaborative Data Engineering Team lead to work on data, analytics and DataOps projects supporting the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. An ideal candidate will leverage their technical proficiency and leadership competencies to drive the delivery of key objectives. Responsibilities • Lead a high performing team in the delivery of key components and business deliverables., • Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization., • Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products endtoend., • Establish operational expectations for data products/data contracts, including reliability targets, change management, and consistency of consumption for analytics and AI use cases., • Drive adoption of automation, orchestration, and observability capabilities for data pipelines., • Ensure both on-time successful delivery, and the technical and architectural quality of the solutions., • Collaborate with individuals from all areas of the business and IT organizations to develop accurate business requirements and design architectural solutions., • Resolve and escalate technical and project delivery issues as needed., • Drive process improvements within the team and across the department to improve efficiency and quality., • Work directly with the architecture group to coordinate new design patterns and technology., • Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests., • Act as a key contributor in planning and estimation of projects, • Support development of talent within the organization through coaching and mentoring of team members., • Ensure design, code, and test plan reviews are conducted as appropriate. Qualifications • Required:, • Proven history of owning and taking accountability for leading others to complete complex deliverables., • Excellent communication skills, • 8+ years of experience in data engineering, analytics engineering, or platform engineering., • Strong experience with cloud data platforms (Azure, AWS, or GCP)., • Experience with Databricks, or modern lakehouse architecture., • Proficient with Data pipelines and orchestration (e.g., Airflow, ADF, Dagster, dbt), • Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab, etc.), • Proficient in Data modeling, PySpark and SQL, • Proficient in modern data architecture, • Experience with DataOps or other automation frameworks., • Preferred:, • SAFe agile work experience or similar agile process, • College degree in Computer Science or Management Information systems, • Familiarity with streaming platforms (Event Hubs, Kafka, Kinesis)., • Experience supporting machine learning or AI workloads in production., • Property Casualty Insurance experience, • Experience working within Azure ecosystem Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our _. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $130,000.00 - USD $176,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer will collaborate closely with analysts and engineers, to understand data needs, develop efficient solutions, and ensure the integrity, performance, and security of our data systems. • Analyze integration and system requirements by understanding business needs and designing effective data solutions, particularly for Guidewire Policy, Billing Center and Commercial P&C data domains., • Design, develop, and optimize ELT pipelines to ingest, transform, and load data into a Delta Lakehouse platform., • Design, Develop and maintain data models and schemas ensuring data quality and integrity., • Build and maintain dashboards and reports delivering actionable business insights., • Monitor pipeline and storage performance; troubleshoot and resolve data issues promptly., • Collaborate with cross-functional teams, including analysts and business users, to deliver end-to-end insurance data solutions., • Implement data governance, security, and compliance standards across platforms., • Conduct root cause analysis for system failures and performance events; drive continuous improvements in enterprise data integration pipelines., • Create and manage testing procedures (unit, scenario, end-to-end) to ensure pipeline reliability., • Stay current with emerging technologies and recommend improvements to workflows., • Mentor team members on data engineering tools, Guidewire data model concepts and best practices., • Build and maintain data pipelines to process structured and unstructured data (like documents and text) for Generative AI tasks, including creating embeddings and working with vector databases to support AI search features., • Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning Generative AI models., • Collaborate with AI and data science teams to understand data requirements and deliver scalable solutions that support model training and inference., • Implement processes to enrich data with metadata and context to improve AI model accuracy and relevance., • Optimize data storage and retrieval methods to support fast, low-latency responses for AI-powered applications., • Monitor data workflows for Generative AI projects, troubleshooting issues, and ensure continuous pipeline performance., • Bachelor's degree in relevant field of study required(e.g. computer science, data science, data analytics, applied mathematics, etc.), • 5+ years of progressive work experience in IT or a related field required., • 3+ years of experience in data engineering and analytics, with a solid foundation in data architecture and integration, including hands-on work with complex enterprise P& C Insurance data models required., • 2+ years of experience with data-centric projects within the Guidewire ecosystem, including working with Guidewire Policy Center and related data structures required., • In-depth understanding of relational database systems (e.g., Oracle, SQL Server, MySQL), including their features and performance optimization strategies., • Solid grasp of ETL processes, data pipeline architectures, and data integration techniques, particularly for operational source systems such as Guidewire., • 2+ years of hands-on experience with Azure Databricks, Azure data factory including developing and optimizing data pipelines using Apache Spark required., • 2+ years of experience working with Power BI or other leading data visualization and reporting tools required., • Proven expertise with Apache Spark, Delta Lakehouse, and data warehousing technologies required., • Proficient in Microsoft Azure services, including:, • Azure SQL Database, • Azure Data Lake Storage Gen2, • Azure Event Grid, • Azure Key Vault, • Strong understanding of CI/CD pipelines and experience in Agile development environments., • Demonstrated ability to troubleshoot system issues, identify root causes, and implement effective solutions quickly., • Capable of managing multiple priorities with strong attention to detail and follow-through., • Working knowledge of Generative AI frameworks and use cases in data engineering is a plus., • Knowledge of data governance, metadata management, and data quality frameworks., • Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms., • Proficient in Microsoft Office Suites, • Strong understanding of the Insurance Domain and Experience using Guidewire CDA data model to build use case specific datasets., • Data Modeling, • Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions, • Collaboration with cross-functional groups, • Strong analytical and problem-solving skills, with the ability to translate business requirements into practical data solutions. The salary range for this role is $86,800 - $160,700. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. The Data and Analytics Architect is responsible for the overall design of the data, platforms, and applications (batch/real time, cloud/hybrid) within our Information Management area (including Business Intelligence & Advanced Analytics). This will include the definition of standards, best practices, policies and procedures, integration patterns, data models, high level data flows and data services. This Architect will work in collaboration with IT Application Development teams, Enterprise Architecture, and business partners to establish data and analytics architecture patterns, evaluate new tools and technologies, provide recommendations, support POCs, and assist with implementation/adoption as appropriate. Through this activity, they will enable consistent business analysis, streamlined data acquisition and consumption, development of best-in-class analytical solutions, environment optimization, and compliance with applicable regulations and security standards. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Responsibilities • Works with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity., • Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements., • Assist the Enterprise Architect in the planning process for new business initiatives through buy/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies., • Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed., • Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes., • Assists with tier 2 application production issues and challenging issues in any phase of the development lifecycle. Supports continuous improvement by identifying and proposing tuning opportunities., • Identifies opportunities to increase efficiency, quality, and speed to market. Proposes actions to realize opportunities and advocates for DevOps/DataOps opportunities. Qualifications • Bachelor's Degree in Computer Science, or other related field, or equivalent work experience., • 7 to 10 years of experience in Data and Analytics Architecture, • P&C Insurance industry experience preferred., • Understanding of Data Design methodologies and their application in complex multi-tier systems., • Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA), • Strong understanding of Data warehouses, Data Marts and Data Lake., • Ability to develop and architect solutions based on non-functional requirements., • Experience with Power BI, Azure ML, Azure Databricks, IICS and/or Informatica PowerCenter is preferred., • Experience architecting and data modeling in Azure ecosystem is preferred., • Superior technical knowledge in Data Quality, Standards, Governance, and Design, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $146,000.00 - USD $198,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.

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

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits, • And much more To learn more about becoming part of the Diversified team, visit us at _or email us at careers@onediversified.com. Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact careers@onediversified.com so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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

Job Description Data Integration Operations Manager (VP Level) MUST be local to Iselin NJ, Hybrid Schedule Salary up to $170k No Sponsorship Available, No Third Party Resumes In this role you will be accountable for end-to-end data integration operations. You will ensure seamless system connectivity and data integrity across critical data flows. You will own operational execution for their Central Database and strategic DEAL Integration points covering Markets and related Service of Records. Additionally, you will provide oversight of batch workflows and integration processes, and partner with stakeholders to drive operational efficiency and reliability. Key Responsibilities • Own end to end data integration operations, including batch workflows and pipeline., • Ensure timely, accurate execution of critical business hour integration processes, • Monitor and uphold SLAs/OLAs across multiple systems of record, • Manage production support, incident resolution, and operational risk, • Drive continuous improvement of integration processes and operational controls, • Coordinate cross functional teams to ensure delivery and execution discipline Qualifications • At least 7-10 plus years of experience in data integration, operations, and enterprise platforms, • Strong experience managing incident processes, with an understanding of established banking frameworks and adherence to existing operating models, • Ability to balance business demands while maintaining oversight of batch processing, ticketing, and SQL Server environments, • Strong SQL and Python development skills, • Expected to support and transition work to target platforms such as Python and Databricks, • Ability to collaborate with the business on a daily basis and translate technical and functional needs, • Demonstrated experience leveraging a wide variety of data analysis/Integration tools: SQL, Oracle/SQL Server, SSIS, Python, Pyspark, Databricks, Azure, ADF, Airflow, Tidal/Control-M, Snowflake, • Balanced prioritization, and execution skills with Finance/Banking experience preferred., • Strong expertise in batch processing, data pipelines, and system integrations, • Demonstrates strong knowledge and proficiency in data extraction, transformation, and analytics tools., • Strong operational governance, SLA management, and risk management skills, • Clear communication and stakeholder engagement Financial Services Experience Required: • Experience in fixed income, capital markets, and derivatives preferred, • Strong understanding of financial products (including equities) to reduce onboarding time and accelerate business alignment Nice to Have: • Experience with Databricks and Snowflake, • Knowledge of semantic modeling and data modeling

Job Description Kenvue is currently recruiting for a: Digital Product Lead What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here. Role reports to: NA Analytics Sr. Manager Location: North America, United States, New Jersey, Summit Work Location: Fully Onsite What you will do As the Digital Product Lead, NA E2E Analytics, you will be a leader supporting the Supply Chain function in North America, executing the Analytics roadmap for Consumer Health and the development and deployment of business intelligence and advanced analytics capabilities in support of business priorities and long-term strategies. You will bring an E2E view to Deliver by delivering advanced analytics capabilities for the NA region. Responsibilities: • Implement E2E analytics capabilities which provide insights and allow the organization to make informed business and financial decisions through strategic planning, change management, and influencing., • Execute the NA Analytics roadmap inclusive of capabilities aligned to strategic priorities, data and technology strategies, analytics talent strategy, and emerging digital technologies., • You will support prioritization for resources and funding to implement analytics capabilities., • Collaborate with key business leaders within and outside Deliver, and drive actions to meet stakeholder needs via the execution of analytics capabilities., • Contribute to continuous improvement processes by regularly developing, testing and applying practical, innovative solutions and methodologies to Deliver and E2E problems., • Provide analyses and business insights for projects and strategic initiatives within Deliver and develop partnerships to enable effective implementation of these initiatives., • Ensure the team develops and maintains in-depth knowledge of analytics tools, cross-sector business processes and data relationships encompassing logistics process., • Benchmark and research best industry practices and emerging technologies. The Ideal candidate will be: Qualifications: • Minimum of Bachelors degree is required; degree or focused degree in Supply Chain, Engineering, Logistics, Operations Management, Operations, Business, or a related field is preferred., • Minimum of 4 years of relevant experience, • People influencing (inclusive of developing, mentoring and coaching) experience., • Strong business acumen and understanding of the end-to-end supply chain., • Experience developing and implementing an analytics capability, • Demonstrated experience partnering with and influencing business partners and key stakeholders, • Ability to develop innovative methodologies and solutions to difficult logistics problems and projects., • Product Management proficiency., • Proficiency with data visualization software (e.g. PowerBI), querying (SQL) and coding (Python)., • Proficiency with Databricks., • Advanced proficiency of various Data & Analytics tools, with demonstrated results in optimizing business processes., • Up to 15% domestic travel Preferred: • Experience in Logistics / Supply Chain or a related fieldExperience leading a team focused on analytics capabilities or outcomes What’s in it for you Annual base salary for new hires in this position ranges: $127,075.00 - $179,400.00 This takes into account a number of factors including work location, the candidate’s skills, experience, education level & other job-related factors. Competitive Benefit Package* Paid Company Holidays, Paid Vacation, Volunteer Time & More! Learning & Development Opportunities Kenvuer Impact Networks This list could vary based on location/region *Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

Job Description Introduction Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next? Role Overview We are looking for a Claude Code Architect — a rare blend of AI engineering depth and pharma commercial domain expertise. In this role you will design, build, and govern a fleet of autonomous agents built on Anthropic's Claude Code SDK. These agents will be the backbone of next-generation Commercial Data Platform, automating complex workflows across data ingestion, transformation, insight generation, CRM integration, and commercial analytics for pharmaceutical clients. You will set the architectural blueprint for agent-based development, define prompt engineering standards, build reusable agentic toolchains, and mentor a team of engineers in Claude Code best practices. This is a senior individual contributor / tech lead role with a direct impact on product strategy. Key Responsibilities 1. Agent Architecture & Design • Architect end-to-end multi-agent systems using the Claude Code SDK and Anthropic API, covering orchestration, tool use, memory management, and inter-agent communication., • Define the agent topology for the commercial data platform: data ingestion agents, transformation agents, validation agents, insight narration agents, and CRM-sync agents., • Design agent workflows for pharma commercial use cases including sales force automation, territory management, incentive compensation calculation, marketing attribution, and patient journey analytics., • Build and maintain MCP (Model Context Protocol) servers and custom tool integrations for pharma data sources (IQVIA, Symphony Health, CRM systems, data lakes)., • Establish prompt engineering standards, system prompt libraries, and agent persona guidelines for commercial pharma contexts. 1. Claude Code Development & Engineering • Lead hands-on development using Claude Code CLI, including slash commands, hooks, and custom extensions., • Build agentic pipelines that orchestrate Claude Code agents to perform autonomous ETL, data quality checks, anomaly detection, and report generation on pharma commercial datasets., • Develop reusable Claude Code plugins and skill packs tailored to pharma commercial workflows., • Implement agent evaluation frameworks: define metrics, run evals, and continuously improve agent performance and reliability., • Integrate Claude-powered agents with cloud platforms (AWS, Azure, GCP) and pharma data warehouses (Snowflake, Databricks, Redshift). 1. Commercial Data Platform Development • Drive the architecture of AI-native commercial data platform, ensuring it is modular, scalable, and agent-ready., • Collaborate with product and data teams to translate pharma commercial business requirements into agentic workflows., • Ensure data governance, compliance (HIPAA, GDPR), and security standards are embedded into all agent-driven data pipelines., • Build real-time and batch agent workflows for processing specialty pharmacy data, prescription data, sales performance metrics, and HCP/HCO engagement data., • Design agent-assisted self-service analytics capabilities for commercial operations teams at pharma clients. 1. Technical Leadership & Mentorship • Define and enforce Claude Code development best practices, coding standards, and review processes for the engineering team., • Mentor junior and mid-level engineers on agentic AI patterns, prompt engineering, and pharma commercial data concepts., • Act as the internal subject matter expert on Claude Code, Anthropic APIs, and agentic system design., • Collaborate with Anthropic's ecosystem to stay current with Claude model updates, new SDK features, and best practices., • Lead architectural reviews, design documentation, and technical roadmap planning for the AI agent platform. 1. Client Engagement & Pre-Sales Support • Participate in client-facing discussions to explain agent-based platform capabilities to pharma commercial stakeholders., • Contribute to RFP responses, solution design documents, and POC development for prospective pharma clients., • Collaborate with client success teams to tailor agent deployments to specific commercial model configurations (specialty, rare disease, primary care, oncology). Required Qualifications Claude Code & Anthropic Ecosystem (Must-Have) • Deep, demonstrable expertise with Claude Code CLI — including slash commands, hooks, settings configuration, and IDE integrations., • Hands-on experience building agents using the Anthropic Claude Agent SDK and Anthropic API (tool use, multi-turn, computer use)., • Strong understanding of Model Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations., • Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles., • Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent personas., • Familiarity with Claude Code plugin architecture, skill creation, and agentic workflow orchestration. Software Engineering • 8+ years of software engineering experience with strong proficiency in Python and/or TypeScript/JavaScript., • Experience building production-grade agentic or LLM-powered applications with robust error handling, retries, and observability., • Proficiency with cloud platforms: AWS (Lambda, S3, Glue, SageMaker), Azure, or GCP., • Strong background in data engineering: ETL/ELT pipelines, data modeling, SQL, and data warehouse technologies (Snowflake, Databricks preferred)., • Experience with REST APIs, GraphQL, and enterprise system integrations (CRM, ERP, data marketplaces)., • Familiarity with containerization and orchestration (Docker, Kubernetes) for deploying agent workloads. Core Technical Skills Claude Code CLI (advanced) Agentic Workflow Design Anthropic API & Agent SDK Agent Evaluation Frameworks Model Context Protocol (MCP) ETL / Data Pipeline Engineering Prompt Engineering SQL & Data Modeling Python / TypeScript Databricks – MUST HAVE Snowflake / Databricks HIPAA / Data Governance Azure – MUST HAVE Git / CI/CD REST APIs & Integrations LLM Observability & Monitoring Preferred Qualifications (Pharma Domain) • 4+ years of experience working in or with pharmaceutical commercial operations, life sciences data, or healthcare analytics., • Familiarity with pharma commercial data types: prescription data (TRx/NRx), specialty pharmacy data, HCP/HCO master data, sales force sizing, territory alignment, and incentive compensation., • Understanding of pharma commercial processes: launch readiness, market access, brand planning, CRM (Veeva CRM / Salesforce Health Cloud), and field force effectiveness., • Knowledge of compliance considerations in pharma data: HIPAA, Sunshine Act, sampling compliance, and data de-identification., • Exposure to specialty therapy areas (oncology, immunology, rare disease, CNS) and their unique commercial data characteristics., • Experience building analytics products for commercial pharma clients: dashboards, KPI engines, field reporting, and call plan optimization. Behavioral Competencies • Systems Thinker: Ability to design complex, interconnected agent systems with a clear mental model of failure modes and recovery paths., • Builder Mindset: Comfortable working in ambiguity, defining standards from scratch, and iterating rapidly toward production quality., • Communication: Can articulate complex agentic AI concepts clearly to both technical and non-technical pharma stakeholders., • Ownership: Takes end-to-end accountability for agent platform quality, reliability, and business impact., • Collaboration: Works effectively across data science, product, client success, and engineering teams in a globally distributed organization., • Continuous Learning: Actively follows Anthropic release notes, agentic AI research, and pharma commercial industry trends. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-DM1 Powered by JazzHR 47uGma8w1E

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