Data Product Owner / Insurance Domain Lead

Data Product Owner / Domain LeadExperience: 8-12 yearsLocation: Newport Beach, CA All Days OnsiteLocals requiredFTE first preference - Contract nextSalary: 120k to 140k or 90/hr max including any commissionVisa: All w2 visa, No h1 transfers,Tagline: Data Product Strategy | Business-to-Technical Bridge | Governed Data Delivery | Insurance DomainCandidate must be willing to work as independent Product Owner, Insurance domain experience mandatory. 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 & RegulatoryPlease share Writeup with no. of years on Primary Skills Snowflake, dbt (data build tool), Collibra, Profisee MDM, Tableau, Power BI, Jira/ADO (backlog management), SQL, ACORD Data Model (preferred), Life Insurance Policy & Contract Management, Premium & Billing, Claims & Benefits, Actuarial & Reserves, Must-Have Skills8+ 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 programStrong SQL fluency "” ability to validate data product outputs, write acceptance queries, and review dbt model logic with the engineering teamExperience working in Agile delivery environments "” sprint planning, backlog refinement, story writing, and sprint demosDemonstrated ability to translate complex business requirements from domain SMEs into clear, actionable data specifications for engineering teamsHands-on experience with data governance tooling (Collibra, Alation, or equivalentbusiness glossary, data cataloging, certification workflowsExcellent stakeholder communication skills "” able to engage credibly with both business executives and senior data engineersLife Insurance Policy & Contract Management, Premium & Billing, Claims & Benefits, Actuarial & Reserves, Familiarity with ACORD Life & Annuity data standardsExperience with Profisee MDM or enterprise master data management conceptsExposure to Snowflake as a data platform (not required to be a Snowflake engineer)Role SummaryWe 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.Why This Role MattersThe success of the Data Forward program is ultimately measured in business outcomes, not just data pipelines. Someone needs to ensure that each of the 9 Wave 1 data products "” fromPolicy & Contract Management to Actuarial & Reserves "” is semantically correct, trusted by the business, and adopted by its intended consumers. Without strong domain leadership, technically correct data products still fail to deliver value. This role is the bridge that prevents that failure.What You'll DoData Product Definition & Backlog OwnershipDefine 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 & RegulatoryPrioritize the delivery backlog across transformation waves in collaboration with the Delivery Manager, Technical Architect, and the customer Product OwnersTranslate business requirements from the customer domain SMEs into validated data specifications, acceptance criteria, and dbt model definitions that the engineering team can execute againstDefine data product SLAs "” availability, freshness, and quality expectations "” in partnership with the DRE Engineering teamBusiness Validation & Quality AuthorityServe as the final business authority for data quality, semantic accuracy, and adoption readiness for each certified data product before it exits the governance certification workflowLead UAT planning and coordinate the customer business user participation "” ensuring test coverage is grounded in real business scenarios, not just technical row countsReview and approve Collibra business glossary definitions, data product documentation, and domain ontologies for accuracy and business relevanceIdentify and escalate data quality issues that require business rule clarification from the customer SMEs, ensuring engineering is unblockedStakeholder Collaboration & CommunicationAct 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 ritualsCommunicate delivery progress, data product readiness status, and risk items to the customer Product Owners and the WinWire Delivery Manager in a clear, business-friendly mannerDrive adoption of certified data products by working with the customer analytics teams and consumption layer stakeholders (Tableau/Power BI consumers)Governance & CertificationOwn the data product certification lifecycle in Collibra "” coordinating sign-off by Domain Data Stewards and the Data Governance CouncilDefine and document business rules, transformation logic, and domain-specific data contracts in Collibra's business glossary and metadata catalogEnsure all data products meet governance requirements (lineage completeness, PII/PHI tagging, quality SLO thresholds) before certification sign-offWhat Success Looks Like (6-12 Months)All 9 Wave 1 data products have clearly documented specifications, accepted acceptance criteria, and a defined certification checklist before engineering begins each domainWave 1 UAT completes with fewer than 5% of defects attributed to ambiguous or missing business rules "” a direct measure of upstream specification qualityCollibra business glossary has active, reviewed, and approved definitions for all core entities across Wave 1 domains "” used and trusted by the customer data stewardsthe customer business stakeholders describe the data products as "accurate and trustworthy" in post-launch surveysWave 2 backlog is defined, prioritized, and ready for engineering handoff before Wave 1 go-liveWhy Join UsOwn the business outcome: Be the person accountable for whether data products are actually used "” not just deliveredInsurance domain depth: Immerse yourself in Life, Annuities, Actuarial, and Claims data at Fortune 500 scale "” rare, high-value domain exposureInfluence at the top: Direct interface with client executives, domain SMEs, and WinWire program leadership "” high visibility, high ownershipModern platform: Work with Snowflake, Collibra, and dbt on a greenfield architecture "” no legacy constraints on how governance and products are definedWinWire's platform: Microsoft Partner of the Year (2025), Great Place to Work certified, 19+ years of enterprise delivery excellenceThanks & Regards,Kanchan Sharma - Lead Technical Recruiter

Created: 2026-05-08