Title: Lead Product Manager, MGA Data

Location: San Jose, CA / Austin, TX (Hybrid)

Reporting to: Director, Product Management

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

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

Must Haves:

• 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.

• Hands‑on exposure to predictive modeling or machine‑learning feature stores

• 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).

Nice to Haves:

• Experience with property‑cat data, geospatial enrichment, ISO/HBIS rating content, or catastrophe modeling.

• Advanced degree (MS/MBA) and/or certifications in insurance (CPCU, ARe) or analytics (CDMP, CBIP).

Benefits and Perks

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with:

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP)
• Equity - This position is eligible for equity compensation
• Training and Career Growth - Training and internal career growth opportunities
• Flexible Time Off - You know when and how you should recharge
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees

The SF Bay Area base pay range for this role is $155,000 - $230,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known.