Data Product Director
THE POSITION
Our roster has an opening with your name on it
We are looking for a Product Director to join our Data Products team within Fanduel Technology.
This leader is accountable for Marketing’s data product strategy, governance, adoption, and modernization agenda, including advancing a scalable data-as-a-product operating model. As a Data Product Director, you will play a critical role in defining and executing the vision, strategy, and roadmap for our Marketing data team. You will collaborate closely with cross-functional teams, including Marketing, Analytics, Data Engineering, ML and AI Engineering, Data Science, Data Governance, Application Product and Engineering and Business stakeholders. You will be responsible for understanding market trends, identifying customer requirements, and translating them into data features and enhancements. This position requires strong technical knowledge, strategic thinking, and excellent communication skills.
The role will transform 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. This leader will align investments with business priorities, champion a data-driven culture, and deliver measurable improvements in marketing effectiveness, customer outcomes, and decision-making.
THE GAME PLAN
Everyone on our team has a part to play
- Define and lead the multi-year Marketing Data Products & Platforms strategy and roadmap, aligning data investments with business priorities, customer outcomes, and enterprise objectives.
- Partner across Marketing, Analytics, Data, Technology, and Business leadership teams to shape and execute the future-state marketing data and analytics strategy.
- Participate and represent data in Marketing's analytics modernization strategy, ensuring capabilities evolve to meet current and future business needs.
- Champion the adoption of trusted, reusable, and well-governed data products that improve measurement, insights, activation, and decision-making.
- Drive the transition from fragmented data assets toward standardized "gold" data products that serve as the foundation for analytics across Marketing.
- Leverage analytics, AI, and emerging data capabilities to enhance 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 while maintaining trust across stakeholders.
- Serve as a strategic advisor to senior business leaders on analytics, insights, and data-driven decision-making in marketing domain.
· Collaborate with teams from all around the business to understand data challenges and opportunities
- Build, lead, and develop high-performing data product team that works across the organization to build data product capabilities.
THE STATS
What we’re looking for in our next teammate
Proven experience (8-10 years) in Product Management, preferably in the data platform or big data domain.
- Deep understanding of data products, analytics operating models, enterprise data strategy, and trusted data management.
- Experience leveraging 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 working with Data Technologies like Databricks, data warehouse and data pipeline technologies.
- Strong understanding of data management concepts, data engineering, data governance, and related technologies.
- Experience using SQL, Python and a variety of reporting and data visualization tools.