Data Product Owner Domain lead

Job Title: Data Product Owner/ Domain lead

Location: Newport Beach CA

Work Type: Onsite

Employment Type: FTE

Experience: 12 years

Visa: No H1B transfer & OPT

Open to only LOCALS of CA

Role Summary:

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 enterprises multi-wave data modernization program. You will serve as the business authority for data quality and semantic accuracy sitting at the intersection of the customers domain SMEs and companys 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.

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 and quality expectations in partnership with the DRE Engineering team
  
• Strong communication skillsability 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.
  

The candidate is expected to deliver the following measurable outcomes:

• 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)
  

Required Skills:

Key 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 of experience in 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