Lead Product Manager, Hippo Insurance

• This role requires a deep understanding of data analytics, product management principles and good experience in building data-science solutions
• Hands‑on exposure to predictive modeling or machine‑learning feature stores
• If you're excited about harnessing data, AI, and scalable systems to transform internal operations into a competitive advantage, this role offers that opportunity
• 6+ years of product‑management experience in leading data-products with focus on data-science, A/B experiments, analytics & technology
• 3+ years of product management experience in insurance or other regulated financial services
• Proven track record of managing data-focused products from ideation through to launch and iteration
• Prior success standing‑up data governance programs (data quality SLAs, lineage, cataloging, access controls)
• Working knowledge of modern data stacks (Snowflake, BigQuery, dbt, Airflow, Fivetran, Looker/Tableau/Power BI) and proficiency in SQL
• Strong grasp of data‑modeling concepts: slowly changing dimensions, event schemas, canonical entity definitions, and master‑data management
• Proven ability to influence cross-functional teams and executives without formal authority, leaning on clear storytelling, road‑mapping, and prioritization
• Capable of tackling loosely defined problems and managing multiple priorities in a fast-paced environment
• Comfort with agile methodologies, backlog grooming, and writing crisp user stories with measurable acceptance criteria
• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent practical experience)

Desirable

• 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
• 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
• Reporting to: Director, Product Management