Data Product Director

FanDuel•New York City, NY
•Hybrid

About The Position

FanDuel is seeking a Product Director for its Data Products team within FanDuel Technology. The role leads Marketing’s data product strategy, governance, adoption, and modernization agenda, advancing a scalable data-as-a-product operating model. The Director defines and executes the vision, strategy, and roadmap for Marketing data products in partnership with Marketing, Analytics, Data Engineering, ML and AI Engineering, Data Science, Data Governance, Application Product and Engineering, and business stakeholders. The position turns data into a strategic business asset by establishing trusted, reusable, and well-governed data products as the preferred foundation for analytics, insights, activation, and performance measurement. The Director aligns investments with business priorities, promotes data-driven decision-making, and seeks measurable improvements in marketing effectiveness and customer outcomes. The role also builds, leads, and develops a high-performing data product team.

Requirements

  • 8–10 years of experience in Product Management, preferably in data platforms or big data.
  • Deep understanding of data products, analytics operating models, enterprise data strategy, and trusted data management.
  • Experience using analytics, AI, and customer insights to improve marketing effectiveness, customer engagement, and business growth.
  • Knowledge of marketing, customer, digital, activation, and performance measurement frameworks.
  • Experience translating complex business and customer needs into actionable insights and measurable outcomes.
  • Ability to balance strategic vision with execution and drive enterprise adoption of data products and analytics capabilities.
  • Experience with data technologies such as Databricks, data warehouses, and data pipelines.
  • Strong understanding of data management, data engineering, data governance, and related technologies.
  • Experience using SQL, Python, and reporting and data visualization tools.
  • Ability to work autonomously with minimal supervision and collaboratively in an Agile team.
  • Track record of managing, developing, and coaching team members.
  • Strong leadership and cross-functional collaboration and influence skills.
  • Ability to think strategically and drive results in a fast-paced, dynamic environment.
  • Experience working with Agile development methodologies.
  • Ability to set and pursue challenging goals and maintain high standards of individual accomplishment.
  • Self-awareness and an understanding of how behavior relates to the environment.
  • Ability to constructively challenge and question while actively listening.

Nice To Haves

  • Familiarity with Customer Data Platforms (CDPs), audience management, and MarTech tools such as Xtremepush, Hightouch, or similar.

Responsibilities

  • Define and lead the multi-year Marketing Data Products and Platforms strategy and roadmap, aligning investments with business priorities, customer outcomes, and enterprise objectives.
  • Partner with Marketing, Analytics, Data, Technology, and business leadership to shape and execute the future-state marketing data and analytics strategy.
  • Represent data in Marketing’s analytics modernization strategy and help ensure capabilities meet current and future business needs.
  • Champion adoption of trusted, reusable, well-governed data products for measurement, insights, activation, and decision-making.
  • Drive the transition from fragmented data assets to standardized “gold” data products for Marketing analytics.
  • Leverage analytics, AI, and emerging data capabilities to improve marketing performance, customer outcomes, and business growth.
  • Strengthen confidence in data through consistent governance, business ownership, and clear definitions of critical data assets.
  • Ensure data products and analytics outputs meet regulatory, risk, and business requirements.
  • Advise senior business leaders on marketing analytics, insights, and data-driven decision-making.
  • Collaborate with teams across the business to understand data challenges and opportunities.
  • Build, lead, and develop a high-performing data product team that works across the organization.
  • Translate product roadmap features into product requirements, including features, user stories, and acceptance test criteria.
  • Conduct stakeholder interviews and facilitate stakeholder workshops.
  • Coach team members and influence and collaborate across cross-functional teams.

Benefits

  • Health plans, including some options with no paycheck cost.
  • Fertility and family-planning programs.
  • Mental health support and fitness benefits.
  • Paid time off and sick leave.
  • Annual bonus and long-term incentive opportunities based on performance.
  • 401(k) with up to a 5% match.
  • Commuter benefits.
  • Pet insurance.
  • Medical, vision, and dental insurance.
  • Life insurance and disability insurance.
  • Potential cash bonuses and stock program participation.
  • Paid personal time off and 14 paid company holidays.
  • Paid sick time in accordance with applicable state and federal laws.
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