Senior Data Product Manager

What you'll do

• Own the end-to-end product roadmap for the Databricks lakehouse platform, Airflow orchestration, and self-service data tools.
• Transition engineering-led backlogs into a product-led roadmap using clear decision ownership and dashboard-backed metrics.
• Drive platform cost governance and FinOps discipline by managing internal cost estimation tools and infrastructure gates.
• Manage data governance, security, and compliance commitments including SOX controls and attribute-based access control.
• Lead the self-service vision for internal data tooling to increase adoption and reduce reactive support tickets.
• Elicit requirements in the form of problem statements, user stories, and acceptance criteria for engineering teams.
• Monitor platform health metrics including reliability, data quality, and adoption trends to re-prioritize the roadmap.
• Represent the core data infrastructure in the company's unified data context and semantic layer strategy.

What we're looking for

• 5+ years of experience as a Product Manager or Product Owner shipping infrastructure, platform, or developer-tooling products.
• Bachelor's degree in a relevant field or equivalent industry experience (preferred); a Master's degree is a plus.
• Direct experience with modern lakehouse and orchestration technology such as Databricks, Apache Airflow, and cloud infrastructure (AWS preferred).
• Working knowledge of data governance and access-control models like Unity Catalog and ABAC in a regulated, compliance-sensitive environment.
• Experience owning cost or FinOps workstreams for a data or cloud platform.
• Ability to lead product-led planning using frameworks like DACI to manage technical backlogs and stakeholder requirements.
• SQL proficiency for querying platform usage and cost data.
• Knowledge of sports and/or experience working within a heavily regulated industry (preferred).