VP, Content Science – Analytics

• Define and lead the data science and analytics vision and multi-year roadmap for Content Analytics
• Build and lead high-performing teams of data scientists and analysts across Engagement Analytics, Content Analytics, and Strategic Forecasting & Decision Science
• Lead development and implementation of predictive machine learning, time series forecasting, survival, segmentation, and causal inference models
• Partner with engineering to operationalize models into production
• Architect and execute the multi-year data science and analytics roadmap for content, including operating models, methodologies, tools, technology, and data products
• Lead methodological innovation and serve as a future-focused voice on data science, AI, and analytics
• Lead needs assessment, requirements gathering, prototyping, validation, and partner engagement for model and product development
• Advise senior leadership in DTC Content Planning & Partnerships, Subscriber Planning, and Finance through forecasting and scenario-planning models
• Build frameworks, methodologies, models, and tools for title-level decisions, content valuation, portfolio composition, global optimization, audience behavior, and originals-versus-licensing-versus-partnership trade-offs
• Identify and implement data science modeling and AI opportunities for content strategy and planning
• Embed data science and analytics leadership in Engagement, Retention, and AI squads
• Partner with data engineering on infrastructure, feature stores, and data products
• Translate complex models and analyses into actionable executive recommendations
• Foster a collaborative, high-trust culture and align creative, finance, business, technology, and marketing stakeholders
• Develop talent through coaching, mentoring, and leadership growth

• 12+ years of experience in data science, analytics, or decision science roles
• 8+ years in leadership or management
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, Engineering, or a related quantitative discipline
• Deep experience in media and entertainment video content strategy, including content valuation, licensing, and global content investment decisions
• Proven track record building and scaling data science and analytics capabilities and teams of data scientists supporting content, programming, or portfolio decisions
• Experience leading statistical and machine learning models at scale, including time series forecasting, survival analysis, segmentation and clustering, propensity models, and causal inference, and operationalizing them into production
• Deep knowledge of machine learning algorithms and advanced statistics
• Ability to architect and deliver multi-year data science and analytics roadmaps
• Experience translating complex data, models, and analytics into clear, actionable storylines for non-technical audiences
• Experience leading cross-functional initiatives and gaining stakeholder alignment
• Ability to identify patterns across complex, disparate data sets and translate them into insights, models, methodologies, and frameworks
• Strong fluency with SQL, Python/R, statistical and ML platforms, Looker, and Tableau
• Experience with modern data platforms such as Databricks, Snowflake, and AWS or equivalent
• Track record of executive communication and influence across technical and non-technical audiences
• Graduate degree (M.S. or Ph.D.) in a related quantitative discipline is preferred
• Prior leadership experience in streaming media and/or a direct-to-consumer subscription business is preferred
• Knowledge of subscription models, engagement and retention dynamics, and content's role in the subscriber lifecycle is preferred
• Demonstrated financial impact through data science applications and models in production is preferred
• Experience implementing Generative AI applications for data science and analytics is preferred
• Experience with NLP methods applied to audience, content, or survey data is preferred
• Experience supporting content studios and content partnership functions is preferred
• Familiarity with international content strategy and global-market data science and analytics is preferred

Demonstrates expertise in…