About the position
Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. The Senior Product Manager is a skilled product practitioner with demonstrated ability to drive significant business impact while developing sophisticated strategic capabilities. They operate with high autonomy in complex business domains while maintaining appropriate engagement with leadership on strategic direction. They identify and execute on high-value opportunities, build effective cross-functional partnerships, and deliver measurable outcomes that advance Pie's strategic goals. You will report to the Director of Product for Data and Post-Bind Journeys (financial systems, premium audit, and claims) and work closely with Data Engineering leadership, Data Science teams, and cross-functional partners to identify opportunities, prioritize initiatives, and drive end-to-end execution from conception to impact measurement.
Responsibilities
- Drive critical initiatives that enhance Pie's data infrastructure and analytics capabilities.
- Focus on improving data quality and platform capabilities, accelerating analytics delivery, and expanding data self-service capabilities across the organization.
- Provide product oversight and prioritization for ETL pipeline improvements using tools like Snowflake and Airflow.
- Manage the transition from legacy data sources to system-generated data, reducing manual intervention and increasing automation.
- Create and prioritize self-service analytics capabilities that empower teams across Pie to make data-driven decisions independently.
- Develop a comprehensive data platform and analytics roadmap for your domain.
- Integrate your data platform domain within Pie's Product Operating Model.
- Build strong, collaborative relationships with technology and business leaders across Pie.
- Partner with engineering to identify and prioritize improvements for data reliability.
- Develop and execute a strategy for progressively reducing reliance on manual/spreadsheet-based data sources.
- Create and implement a measurement framework for data quality, pipeline reliability, and analytics performance.
- Enhance data infrastructure to enable self-service analytics capabilities.
- Collaborate on data governance strategy with compliance and security teams.
Requirements
- 8+ years overall professional experience working on complex business and/or technology problems.
- 6+ years Product Management experience working in an agile software development lifecycle (SDLC) environment.
- Advanced SQL proficiency and data fluency are required.
- Demonstrated experience working with data platforms, analytics, or business intelligence products.
- Familiarity with modern data stack tools such as Snowflake, Airflow, dbt, Fivetran, Monte Carlo, Looker, or Tableau.
- Strong understanding of the data lifecycle including data modeling, data quality, analytics enablement, and self-service capabilities.
- Ability to translate complex technical work into clear business impact.
- Strong communication skills with the ability to influence stakeholders.
- Growth mindset and resilience.
- Experience managing complex product deliveries end-to-end.
Benefits
- Competitive cash compensation
- Equity in the form of a piece of the pie
- Comprehensive health plans
- Generous PTO
- Future focused 401k match
- Generous parental and caregiver leave
- Discretionary bonuses based on company performance
