VP, Content 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 analytics, data science, and decision frameworks.

As Vice President, Content Analytics, you will lead the analytics function 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, and builder. You will be the trusted and objective analytics partner to DTC Content Planning & Partnerships, International Content, Strategic Programming, and Emerging Media, Finance, and Disney Entertainment TV and Studios. You will 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 analytics anchor across cross-functional squads driving Engagement, Retention, and AI initiatives, and will partner closely with the rest of DnA to ensure content analytics is integrated, consistent, and accelerating outcomes across the business.

• Define and lead the 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.
• Architect and execute a multi-year data and analytics roadmap for content analytics, including the evolution of operating models, methodologies, tools, technology, and data products that enable both deep expert analysis and scaled self-serve usage.
• Lead high-performing teams across Engagement Analytics, Content Analytics, and Strategic Forecasting & Decision Analytics, including leaders responsible for advanced 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.
• Serve as an analytics thought partner to senior leadership in DTC Content Planning & Partnerships, Subscriber Planning, and Finance. In partnership with Data Science, lead development of advanced forecasting and scenario planning models to support the analysis of content investment, engagement, incrementality, and retention.
• Build and operationalize clear, consistent frameworks, methodologies, 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.
• Embed analytics leadership into cross-functional squads focused on Engagement, Retention, and AI, ensuring content insights are integrated into subscriber, marketing, and business strategy.
• Partner with data engineering to deliver the infrastructure and data products required to support the analytics roadmap.
• Translate complex analyses into clear, concise, and actionable narratives and recommendations tailored to executive audiences, including reconciling often incomplete or conflicting inputs.
• Foster a high-trust, high-impact, collaborative culture across the team, with strong client service orientation, communication discipline, and credibility at every level of the organization. Act as a neutral, expert third party in cross-functional debates, gaining alignment across creative, finance, business, technology, and marketing stakeholders while maintaining analytical rigor and objectivity.
• Develop talent through coaching, mentoring, and structured leadership growth, building a bench of analytics leaders capable of supporting Disney DTC’s most strategic content decisions.

• 12+ years of experience in analytics, data science, or decision science roles, with 8+ years in leadership or management, ideally in media, entertainment, streaming, or technology.
• Bachelor's degree in Analytics, Data Science, Economics, Statistics,…