Marketing Sciences Vice President
Listed on 2026-06-06
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, Data Mining
Location: New York
THE POSITION
Fan Duel is looking for a VP of Marketing Analytics / Marketing Science to define and lead how we measure the effectiveness of our media investments, sponsor ships, and strategic partnerships.
Reporting to the SVP of Media & Partnerships, this leader will shape the strategy and framework for evaluating the performance and commercial impact of Fan Duel’s media investments across channels including paid media, sports leagues, teams, talent partnerships, and media distribution platforms.
The role will combine advanced analytics, modern measurement methodologies, and industry expertise to help Fan Duel better understand the value of our marketing investments and partnerships, enabling smarter investment decisions and stronger long‑term deals.
This leader will partner closely with Media, Partnerships, Finance, Data Science, and Commercial teams to build scalable measurement frameworks, develop robust analytics tools and dashboards, and translate insights into strategic recommendations that shape how Fan Duel invests in media and partnerships.
In addition to the specific responsibilities outlined above, employees may be required to perform other duties as assigned by the Company, allowing operational flexibility to meet evolving business needs.
Define the Media & Partnership Measurement Strategy- Establish the vision and roadmap for measuring the effectiveness of Fan Duel’s media investments, sponsor ships, and strategic partnerships.
- Develop frameworks to evaluate ROI, incrementality, and brand impact across Fan Duel’s 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 sponsor ships, 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.
- Partner with Media leadership to analyze the performance and efficiency of media investments across the full media mix.
- Implement and oversee modern measurement methodologies including Marketing Mix Modeling (MMM), 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 to improve Fan Duel’s media analytics capabilities.
- Lead the development of dashboards, reporting frameworks, and self‑service analytics tools that provide clear and actionable insights for media and partnership teams.
- 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 and future opportunities.
- 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 and impactful measurement solutions.
- 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 measurement methodologies, including:
- Marketing Mix Modeling (MMM)
- Attribution and incrementality testing
- Experimental design and causal inference
- Media and sponsorship performance analysis
- Strong understanding of the modern media ecosystem, including digital media, sports…
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