Senior Data Product Manager
About The Position
FanDuel is seeking a Senior Product Manager to own Core Data Infrastructure (CDI) within its centralized Data Products team. CDI is the foundational platform supporting FanDuel’s data products, including its Databricks lakehouse, workflow orchestration, self-service data tools, governance, and cost management. The role sets product direction across Data Tooling, Databricks Platform, Data Platform Customer Success, and Data Security, working with senior engineering leadership to establish a product-led roadmap, clear priorities, defensible metrics, and measurable adoption. It is a high-visibility role supporting company-wide data reliability, compliance, platform cost management, FanDuel’s broader Data Platform strategy, and 2026 OKRs. The Senior Data Product Manager owns the CDI roadmap end to end, including the Databricks lakehouse platform, Airflow orchestration, and Stargate self-service data access and provisioning. The role also advances cost governance and FinOps, data governance and security commitments, and self-service adoption. It represents CDI in the Unified Data Context and semantic layer strategy, develops clear requirements and acceptance criteria, monitors platform health, and contributes to FanDuel’s Product Management community. Employees may be assigned additional duties as business needs evolve.
Requirements
- At least 5 years of experience as a Product Manager or Product Owner shipping infrastructure, platform, or developer-tooling products, ideally in a data or ML platform organization.
- Proven ability to turn a large technical backlog into a focused, prioritized roadmap.
- Experience with modern lakehouse and orchestration technology such as Databricks and Apache Airflow or equivalent, and with cloud infrastructure; AWS is preferred.
- Working knowledge of data governance and access-control models such as Unity Catalog, ABAC, or comparable attribute- or role-based access frameworks.
- Comfort operating in a regulated, compliance-sensitive environment, including SOX and audit controls.
- Experience owning cost or FinOps workstreams for a data or cloud platform, including building the case for cost governance and driving adoption of cost-estimation or chargeback tooling.
- Product-led operating style, including comfort pushing back on engineering-led planning, using frameworks such as DACI, and focusing on a small number of priorities.
- Strong stakeholder management across technical partners, including requirements workshops, scope negotiation with engineering managers, and communicating platform trade-offs to non-technical leadership.
- SQL proficiency for querying platform usage and cost data.
Nice To Haves
- Bachelor’s degree in Computer Science, Engineering, Business, a related discipline, or equivalent industry experience is preferred; a Master’s degree is a plus.
- Familiarity with semantic layer, metrics-registry, or data-catalog concepts.
- Knowledge of sports and/or experience working within a heavily regulated industry.
Responsibilities
- Own the CDI product roadmap, including the Databricks lakehouse platform, Airflow orchestration, and Stargate self-service data access and provisioning.
- Partner with engineering leadership across Data Tooling, Databricks Platform, Data Platform Customer Success, and Data Security to establish product-led planning, clear decision ownership using DACI, and dashboard-backed metrics.
- Drive platform cost governance and FinOps discipline, own the internal Cost Estimator, and advance cost estimates toward a required gate before new infrastructure is provisioned.
- Own platform data governance, security, and compliance commitments, including SOX controls, ABAC, and Unity Catalog governance, partnering with Data Security and Legal/Compliance to maintain audit readiness.
- Lead the self-service vision for Stargate and internal data tooling such as Orbit and Nexus; grow adoption, define success metrics, and reduce reactive support-ticket volume.
- Represent CDI in the Unified Data Context and semantic layer strategy, partnering with peer Data Product Managers and Central AI on scope, sequencing, and hand-offs.
- Elicit requirements through problem statements, user stories, and acceptance criteria, and maintain a disciplined backlog that engineering managers and stakeholders can plan against.
- Monitor reliability, data quality, blocked-work trends, and adoption, and use these signals to reprioritize the roadmap.
- Participate in FanDuel’s Product Management community by sharing best practices and promoting product-led thinking across engineering-led teams.
- Perform other duties as assigned to support evolving business needs.
Benefits
- Health plans, including some options with no paycheck cost, and medical insurance.
- Fertility and family-planning programs.
- Mental health support.
- Fitness benefits.
- Paid time off and sick leave.
- Annual bonus and long-term incentive opportunities based on performance; the role may also be eligible for short- or long-term incentive compensation, including cash bonuses and stock program participation.
- 401(k) with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Vision insurance.
- Dental insurance.
- Life insurance.
- Disability insurance.
- Paid personal time off and 14 paid company holidays.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
