Data Product Owner

We are looking for an experienced Data Product Owner to own the definition, prioritization, and business validation of data products across a Fortune 500 insurance and financial services enterprise's multi-wave data modernization program. You will serve as the business authority for data quality and semantic accuracy - sitting at the intersection of the customer's domain SMEs and WinWire's engineering teams, translating business intent into certified, analytics-ready data products on Snowflake. This is not a passive backlog management role - you will make consequential decisions about what gets built, in what order, and what "done" means., Data Product Definition & Backlog Ownership

• Define and own data product specifications for all Wave 1 domains: Policy & Contract Management, Premium & Billing, Claims & Benefits, Actuarial & Reserves, Financial Accounting, Agent & Distribution, Customer & Party, Product Master, and Compliance & Regulatory
• Prioritize the delivery backlog across transformation waves in collaboration with the Delivery Manager, Technical Architect, and the customer Product Owners
• Translate business requirements from the customer domain SMEs into validated data specifications, acceptance criteria, and dbt model definitions that the engineering team can execute against
• Define data product SLAs - availability, freshness, and quality expectations - in partnership with the DRE Engineering team, * All 9 Wave 1 data products have clearly documented specifications, accepted acceptance criteria, and a defined certification checklist before engineering begins each domain
• Wave 1 UAT completes with fewer than 5% of defects attributed to ambiguous or missing business rules - a direct measure of upstream specification quality
• Collibra business glossary has active, reviewed, and approved definitions for all core entities across Wave 1 domains - used and trusted by the customer data stewards
• the customer business stakeholders describe the data products as "accurate and trustworthy" in post-launch surveys
• Wave 2 backlog is defined, prioritized, and ready for engineering handoff before Wave 1 go-live
• Insurance domain knowledge - life insurance, annuities, actuarial, claims, or distribution operations.
• Familiarity with ACORD Life & Annuity data standards.
• Experience with Profisee MDM or enterprise master data management concepts.
• Exposure to Snowflake as a data platform (not required to be a Snowflake engineer).

Skills: Data Product Ownership, SQL & Data Validation, Business-to-Technical Translation, Agile/Scrum Delivery, Data Governance (Collibra/Alation), Snowflake & dbt Exposure, Insurance Domain Expertise

12+ years

Data Product Strategy | Business-to-Technical Bridge | Governed Data Delivery | Insurance Domain.

• 8+ years in data analytics, data management, or data product roles - with at least 3 years in a product ownership or domain lead capacity on a data modernization program.
• Strong SQL fluency - ability to validate data product outputs, write acceptance queries, and review dbt model logic with the engineering team.
• Experience working in Agile delivery environments - sprint planning, backlog refinement, story writing, and sprint demos
• Demonstrated ability to translate complex business requirements from domain SMEs into clear, actionable data specifications for engineering teams
• Hands-on experience with data governance tooling (Collibra, Alation, or equivalent) - business glossary, data cataloging, certification workflows
• Excellent stakeholder communication skills - able to engage credibly with both business executives and senior data engineers, Strong communication skills-ability to explain technical concepts clearly.

Proactive, ownership-driven mindset with high accountability.

Ability to collaborate across engineering, operations, and support teams.

Adaptability to fast-paced iterative environments.