Data Product Owner/ Domain lead
About The Position
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 company'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.
Requirements
- 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
Nice To Haves
- 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)
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 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
