Product Owner (Data Analytics)

Skills / Experience

• 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 business executives, senior data engineers

Key Responsibilities

• 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, quality expectations — in partnership with the DRE Engineering team
• Business Validation & Quality Authority — Serve as the final business authority for data quality, semantic accuracy, and adoption readiness for each certified data product before it exits the governance certification workflow; Lead UAT planning and coordinate the customer business user participation — ensuring test coverage is grounded in real business scenarios, not just technical row counts; Review and approve Collibra business glossary definitions, data product documentation, and domain ontologies for accuracy and business relevance; Identify and escalate data quality issues that require business rule clarification from the customer SMEs, ensuring engineering is unblocked
• Stakeholder Collaboration & Communication — Act as the primary point of contact between WinWire delivery squads and the customer''s domain stakeholders (Policy, Claims, Finance, Actuarial, Distribution); Participate in sprint demos, backlog refinement, and retrospectives — representing the business perspective in all delivery rituals; Communicate delivery progress, data product readiness status, and risk items to the customer Product Owners and the WinWire Delivery Manager in a clear, business-friendly manner; Drive adoption of certified data products by working with the customer analytics teams and consumption layer stakeholders (Tableau/Power BI consumers)
• Governance & Certification — Own the data product certification lifecycle in Collibra — coordinating sign-off by Domain Data Stewards and the Data Governance Council; Define and document business rules, transformation logic, and domain-specific data contracts in Collibra''s business glossary and metadata catalog; Ensure all data products meet governance requirements (lineage completeness, PII/PHI tagging, quality SLO thresholds) before certification sign-off