Sr Manager, Analytics & AI Solutions

Company Description

NBCUniversal is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

NBCUniversal is seeking a Sr Manager, Analytics & AI Solutions to join the Studio Distribution Technology & Operations organization within Universal Entertainment Technology. This role is responsible for defining and executing the analytics product strategy and AI solutions that enable commercial decision-making across Studio Distribution.

The Sr Manager will partner closely with business leadership, Enterprise Product, AI enablement, and Engineering teams to align analytics capabilities and AI solutions with business priorities, drive convergence across distribution lines, and ensure integration with the broader enterprise data/analytics and AI ecosystem.

Responsibilities:

• Partner with Studio Distribution leadership to understand sales, financial, content supply chain and content performance analytics & AI needs across businesses and geographies
• Define a clear, long-term analytics product strategy that supports commercial decision-making across Theatrical Distribution, Home Entertainment, and Global TV Distribution
• Identify, evaluate, and prioritize AI opportunities that improve business workflows, user experience, and operational efficiency
• Establish a unified view of title, sales, and financial performance across all distribution channels, windows, and territories
• Align data models, KPIs, and business definitions across distribution lines to enable consistent, comparable performance measurement
• Connect content supply chain operations with downstream distribution performance, enabling end-to-end visibility and decision support
• Drive adoption of analytics products by ensuring insights are intuitive, trusted, and embedded into day-to-day decision-making for business leaders
• Reduce duplication and inefficiencies across analytics efforts by promoting reuse of data assets, standardized frameworks, and enterprise platforms
• Ensure analytics capabilities are scalable and AI-ready, with well-structured data foundations that support advanced analytics and predictive insights
• Translate business needs into a prioritized analytics roadmap that balances immediate insights with long-term scalability and convergence
• Own the analytics product vision and success criteria for Studio Distribution, with a focus on business outcomes and decision support
• Serve as the primary analytics product partner to Enterprise Product and Engineering teams
• Partner with engineering teams to define priorities for ingesting and enabling internal and external data required for Studio Distribution analytics
• Guide analytics requirements and sequencing across multiple data sources while ensuring alignment with enterprise standards
• Drive alignment and collaboration with analytics leaders across Enterprise Finance, Ad Sales, Direct-to-Consumer platforms, and Universal Theme Parks
• Ensure analytics products are delivered through enterprise BI platforms such as Tableau, Power BI, MicroStrategy, and related tools
• Focus on usability, clarity, an…