Data Engineering Product Manager IV - SNAP

Job Description We are seeking a Product Manager with strong Data Engineering expertise to support data-driven products built on modern data platforms. This role operates at the intersection of product management, data engineering, and analytics, with ownership across both:

•  What gets built (product strategy and requirements)
•  How it gets built (data models, pipelines, and architecture) The ideal candidate will ensure that data powering analytics and applications is scalable, reliable, and aligned with business needs, while enabling downstream teams to consume it effectively. Key Responsibilities Product Ownership
•  Define and manage the product roadmap and priorities
•  Translate business needs into clear, actionable data product requirements
•  Partner with stakeholders to clarify business logic and data mappings
•  Drive alignment on scope boundaries (data vs. reporting responsibilities) ________________________________________ Data Engineering
•  Build and maintain datasets, pipelines, and transformations
•  Develop data products that support analytics and application use cases
•  Own the end-to-end data lifecycle (ingestion → transformation → production outputs) ________________________________________ Data Modeling & Architecture
•  Design scalable and performant data models
•  Define join strategies and identifiers to ensure consistency across datasets
•  Avoid duplication and enforce clean, normalized structures
•  Build lean, modular datasets instead of monolithic pipelines
•  Ensure data models support frontend and downstream consumption ________________________________________ Cross-Functional Collaboration
•  Partner with: o Front-end / application teams o Data platform teams o Business and program stakeholders
•  Lead working sessions to align on: o Data definitions o Product requirements o Integration strategy ________________________________________ Data Product Delivery
•  Ensure datasets are: o Accurate, trusted, and production-ready o Easily consumable and exportable
•  Enable downstream teams to perform reporting and analytics independently
•  Focus on building reusable data products, not one-off reports ________________________________________ Governance & Quality
•  Enforce data standards, naming conventions, and ownership models
•  Align with enterprise processes (requirements tracking, documentation, etc.)
•  Minimize rework by prioritizing scalable, long-term solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  Strong experience in data engineering or analytics engineering
•  Advanced SQL and data modeling expertise
•  Experience with modern data platforms (e.g., Foundry or equivalent)
•  Proven ability to translate business requirements into technical solutions
•  Experience working cross-functionally with product, engineering, and business teams
•  Experience in product management or product ownership
•  Familiarity with enterprise data ecosystems
•  Experience building data products for dashboards or applications
•  Exposure to large-scale operational or analytical data environments