VP of Marketing Analytics / Marketing Science

You'll define and lead how FanDuel measures the effectiveness of its media investments, sponsorships, and strategic partnerships. Reporting to the SVP of Media & Partnerships, you'll shape the strategy and framework for evaluating the performance and commercial impact of media investments across paid media, sports leagues, teams, talent partnerships, and media distribution platforms. You'll combine advanced analytics, modern measurement methodologies, and industry expertise to help the company better understand the value of its marketing investments, enabling smarter decisions and stronger long-term deals. You'll partner closely with Media, Partnerships, Finance, Data Science, and Commercial teams to build scalable measurement frameworks, develop analytics tools and dashboards, and translate insights into strategic recommendations. You'll also build and lead a high-performing analytics team focused on media measurement and partnership analytics.

Responsibilities

• Establish the vision and roadmap for measuring the effectiveness of media investments, sponsorships, and strategic partnerships
• Develop frameworks to evaluate ROI, incrementality, and brand impact across the media and partnership ecosystem
• Build scalable measurement approaches that connect media exposure and sponsorship assets to commercial outcomes
• Develop analytical frameworks to evaluate the performance and value of league partnerships, team sponsorships, talent relationships, and media partnerships
• Support commercial negotiations by providing data-driven valuations of partnership opportunities and media deals
• Measure the impact of sponsorship activations and integrations across multiple platforms and audiences
• Analyze the performance and efficiency of media investments across the full media mix
• Implement and oversee modern measurement methodologies including Marketing Mix Modeling, experimentation, attribution, and incrementality testing
• Provide insights that inform media planning, investment allocation, and long-term strategic partnerships
• Evaluate and implement modern analytics tools, AI capabilities, and measurement technologies
• Lead the development of dashboards, reporting frameworks, and self-service analytics tools
• Ensure internal and external data sources are integrated to support robust measurement and analysis
• Translate complex data and modeling outputs into clear insights and strategic recommendations for senior leadership
• Provide regular performance reporting and analysis on major media investments, sponsorship programs, and partnership initiatives
• Serve as a strategic thought partner to Media & Partnerships leadership on investment decisions
• Build and lead a high-performing analytics team focused on media measurement and partnership analytics
• Foster a culture of curiosity, experimentation, and continuous improvement
• Partner with internal analytics, data science, and technology teams to deliver scalable measurement solutions

Requirements

• Minimum of 12+ years of experience in marketing analytics, marketing science, or media measurement
• Experience working in media agencies, marketing consultancies, or advanced analytics organizations strongly preferred
• Deep expertise in Marketing Mix Modeling (MMM)
• Deep expertise in attribution and incrementality testing
• Deep expertise in experimental design and causal inference
• Deep expertise in media and sponsorship performance analysis
• Strong understanding of the modern media ecosystem, including digital media, sports media, sponsorships, and brand partnerships
• Experience evaluating commercial value and ROI of media and partnership investments
• Familiarity with AI, machine learning, and advanced analytics techniques applied to marketing performance
• Proficiency with analytics and data tools such as SQL, Python, R, or similar
• Experience building dashboards and visualizations using Tableau, Looker, Power BI, or similar platforms
• Strong ability to translate complex analytics into actionable insights for senior leadership
• Proven experience leading and developing analytics or data science teams
• Bachelor's Degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or Data Science (advanced degree preferred)
• Knowledge of sports media, sponsorship ecosystems, or regulated industries is a plus

Benefits

• Health plans including programs for fertility and family planning, mental health support, and fitness benefits
• Generous paid time off (PTO & sick leave)
• Annual bonus and long-term incentive opportunities
• 401k with up to a 5% match
• Commuter benefits
• Pet insurance
• 14 paid company holidays