VP, Content Science & Analytics

VP, Content Science & Analytics

The Data Intelligence and Analytics (DnA) team sits at the center of the Disney Entertainment Direct-to-Consumer (DTC) business, powering decisions across our streaming portfolio with data science, analytics, and decision frameworks. As Vice President, Content Analytics, you will lead a team composed primarily of data scientists, alongside analytics talent, that builds the data science products, tools, and forecasts supporting DTC Content Strategy across Disney+ and Hulu, with influence that extends to content decisions shaping Disney Entertainment more broadly, particularly TV.

This is a senior leadership role for an executive who is equal parts strategist, detective, scientist, and builder. You will be the trusted and objective data science and analytics partner to DTC Content Planning & Partnerships, International Content, Strategic Programming, and Emerging Media, Finance, and Disney Entertainment TV and Studios. You will lead the development of predictive models, forecasting systems, and decision tools, and help translate complex audience, engagement, and financial signals into clear, defensible perspectives and recommendations to guide decisions on content valuation, portfolio composition, global investment, and the balance between originals, licensing, and partnership strategies.

You will also serve as the data science and analytics anchor across cross-functional squads driving Engagement, Retention, and AI initiatives, and will partner closely with the rest of DnA to ensure content data science and analytics are integrated, consistent, and accelerating outcomes across the business.

Responsibilities

• Define and lead the data science and analytics vision and multi-year roadmap for Content Analytics, elevating the function into a decision-grade capability that informs content valuation, licensing, global content investment, and portfolio strategy.
• Build and lead high-performing teams of data scientists and analysts across Engagement Analytics, Content Analytics, and Strategic Forecasting & Decision Science, including leaders responsible for advanced models and tools for forecasting, survival and segmentation, and frameworks for decision making, insights, and optimization, as well as analytics for content strategy, programming, and title-level analysis.
• Lead the development and implementation of predictive machine learning models, time series forecasting, survival and segmentation models, and causal inference methods that support content investment, engagement, incrementality, and retention decisions. Continuously improve existing models and architect and prototype new ones, partnering with engineering to operationalize models into production.
• Architect and execute a multi-year data science and analytics roadmap for content, including the evolution of operating models, methodologies, models, tools, technology, and data products that enable both deep expert analysis and scaled self-serve usage.
• Be an instrumental leader in the planning and evolution of methodological innovation, serving as a future-focused voice on data science, AI, and analytics internally and with partners.
• Approach model and product development from a client-focused process, including needs assessment, requirements gathering, prototyping, validation, and partner engagement, ensuring solutions are adopted and drive decisions.
• Serve as a data science and analytics thought partner to senior leadership in DTC Content Planning & Partnerships, Subscriber Planning, and Finance, leading development of advanced forecasting and scenario planning models in coordination with the broader DnA Data Science function.
• Build and operationalize clear, consistent frameworks, methodologies, models, and tools that support title-level decisions, content valuation, portfolio composition and prioritization, global optimization, audience behavior, and originals vs. licensing vs. partnership trade-offs.
• Proactively identify opportunities where data science modeling and AI applications can benefit content strategy and planning; roadmap, execute, and implement for measurable impact.
• Embed data science and analytics leadership…