Title: Lead Product Manager, MGA Data
Location: San Jose, CA / Austin, TX (Hybrid)
Reporting to: Director, Product Management

ABOUT THIS ROLE:

The Lead Product Manager, MGA Data will own the vision, strategy, and roadmap for the data that powers Hippo’s Managing General Agency (MGA). You will ensure that every underwriter, analyst, data scientist, PM, and business partner can trust, discover, and leverage high‑quality data—spanning property, policy, underwriting, rating, billing, and customer domains—to drive growth, profitability, and stellar customer experiences.
You will lead the development and management of data-driven products and services throughout its lifecycle – conception through end-of-life. The ideal candidate will bridge the gap between data science, data-engineering, and business needs to ensure that data products provide value and strategic solutions to key business needs. This role requires a deep understanding of data analytics, product management principles and good experience in building data-science solutions.
If you’re excited about harnessing data, AI, and scalable systems to transform internal operations into a competitive advantage, this role offers that opportunity.

WHAT YOU’LL DO:

• Champion data consumer needs – Engage deeply with underwriting, actuarial, agency, claims, finance, and product teams to understand their questions, pain points, and use‑cases
• Define & govern insurance data models – Own conceptual and logical data models for properties, quotes, policies, and more
• Drive the data product roadmap – Prioritize features that increase data accuracy, availability, and self‑service adoption; publish clear OKRs and progress dashboards. Execute build vs. buy decisions and scope building new features/functionality
• Coordinate cross‑functional delivery – Partner with Software Engineering, Data Engineering and Analytics teams to design robust, scalable data architectures supporting complex reporting and analytics use cases. Partner with the business systems and engineering teams to develop policies, workflows and implementations that enhance data governance, accuracy, and reliability
• Launch & evangelize – Deliver release notes, demos, and internal training so teams immediately realize value from new datasets and tools