VP Revenue Data Science

Sphere Entertainment Co. is a leader in immersive experiences, technology and media. The Company includes Sphere, an experiential medium powered by advanced technologies. The first Sphere opened in Las Vegas, with a second venue planned for Abu Dhabi. In addition, the Company includes MSG Networks, which operates two regional sports and entertainment networks, MSG Network and MSG Sportsnet, as well as a direct‑to‑consumer and authenticated streaming product, MSG+, delivering a wide range of live sports content and other programming.

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The Vice President of Revenue & Data Science will lead the Revenue Strategy and Data Science organization, responsible for building and maintaining a sophisticated, scalable ecosystem of tools, models, and insights that drive revenue optimization across a multi‑content slate. This role will own the development and execution of dynamic pricing models, predictive analytics, forecasting frameworks, inventory management and decision‑support systems that inform scheduling, marketing, distribution, and commercial strategy.

This is a highly strategic and hands‑on leadership role for a dynamic, innovative thinker who can navigate complex business problems, translate ambiguity into structure, and build high‑performing teams that blend commercial acumen with advanced analytics.

• Lead, develop and implement comprehensive revenue and inventory management strategies to maximize revenue, utilization, and long‑term value.
• Build and oversee predictive models for demand, pricing, inventory, forecasting, and performance scenarios.
• Establish short- and long‑range forecasting frameworks that support decision making.
• Develop models that optimize scheduling across a multi‑content slate, to drive revenue, utilization and audience growth.
• Identify and integrate high impact first‑party and third‑party data sources; own data governance and quality standards.
• Develop annual ticket sales budgets and accurate forecasts based on market trends, historical data and other relevant factors.
• Implement structured processes (business review, key issues analysis, key idea development and marketing plan integration) to improve outcomes.
• Research and evaluate new sales and partnerships opportunities that may allow for scaling and automating analysis and workflows.
• Develop, manage, and communicate the show schedule calendars, show times, pricing, yield strategies, inventory management, that optimizes revenue.
• Oversee budget management for all ticket programs as well as trade and comp budget lines.
• Foster collaboration with marketing, finance, Data & Analytics, sales, product development and other departments to ensure alignment in achieving revenue goals.
• Build, lead, and inspire a high‑performing collaborative team across revenue strategy, analytics, and data science disciplines.
• Foster a culture of curiosity, collaboration, innovation, rigor, and accountability.
• Serve as a strategic thought partner to executive leadership, contributing to broader business strategy beyond revenue optimization.
• Communicate complex concepts with clarity and influence across technical and non‑technical audiences.

• 12+ years of experience in revenue strategy, analytics, data science, consulting, or related fields, with at least 5 years in senior leadership roles.
• Proven experience building and scaling dynamic pricing models, forecasting systems, or advanced analytics platforms in complex, high‑growth environments.
• Deep expertise in predictive modeling, statistical analysis, machine learning, and data‑driven decision‑making.
• Strong understanding of how commercial levers (pricing, inventory, timing, marketing) interact to drive demand and revenue.
• Demonstrated experience working with both first‑party and third‑party data ecosystems.
• Experience in live entertainment, ticketing, hospitality, media, sports, or adjacent industries is highly preferred.
• Notable leadership and strong executive presence in large, complex organizations with responsibility for significant revenue budget and an ability to work with individuals at all levels of the organization.
• Str…