Product Manager

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. The Product Manager, Enterprise Data & AI will be part of our Enterprise Data + AI Product organization and will help turn business problems into products, solutions and experiences that create measurable value across NBCUniversal.  This is a hands-on product builder role at the intersection of business, product, data and AI. The Product Manager will work directly with business and product teams to understand how they work, uncover meaningful problems and opportunities, connect those needs to our enterprise capabilities, and help move ideas from discovery through validation and adoption.  The ideal candidate combines strong product judgment with business curiosity, technical fluency and a bias toward action. You should be equally comfortable talking with a business stakeholder, understanding how a data or AI capability works, shaping a use case, building or prototyping a solution with modern tools, developing a clear product story and determining whether the resulting experience is creating value.  This is not a traditional Product Manager role centered solely on managing a feature backlog. It is a role for someone who thrives in ambiguity, operates with high ownership and uses technology… particularly AI, to shorten the distance between an idea and a meaningful business outcome.  What you will own  (day-to-day):  Business discovery and stakeholder engagement to identify meaningful problems, opportunities and use cases  Translation of business needs into clear product opportunities, hypotheses, outcomes and success measures  Rapid prototyping and experimentation to make ideas tangible and accelerate learning  Product positioning, demos, enablement and other go-to-market motions that drive understanding and adoption  Voice of the Customer and product feedback loops that inform future priorities  Adoption and business-value measurement for priority initiatives  Clear communication between business, Product, Data, Engineering and AI teams  AI-enabled ways of working that increase speed, quality and individual leverage  Responsibilities :  Business Discovery & Use-Case Development : Build trusted relationships with stakeholders across the enterprise, understand their workflows and proactively uncover problems, opportunities and unmet needs — including needs that may not initially be well articulated.  Product Opportunity Development : Translate stakeholder needs into clear use cases, product opportunities, hypotheses and measurable outcomes; connect those opportunities to existing enterprise products and capabilities whenever possible.  Build, Prototype & Validate : Use modern AI-assisted development, prototyping and workflow tools to rapidly bring ideas to life, test assumptions and create tangible experiences that accelerate learning and decision-making.  Product Adoption & Enablement : Develop the positioning, demonstrations, enablement materials and engagement motions necessary to help stakeholders understand, adopt and successfully use enterprise products and capabilities.  Voice of the Customer & Feedback Loops : Establish structured feedback loops using stakeholder input, qualitative insights, usage signals and business outcomes to identify friction, unmet needs and opportunities for improvement.  Data & Success Measurement : Define and track appropriate measures of adoption, engagement and business value; use quantitative and qualitative data to tell a clear story and drive decisions.  Product Strategy Partnership : Bring business, customer and adoption signal back to Product Managers and product leaders to help inform roadmap priorities, investment decisions and future portfolio direction.  Cross-Functional Leadership : Partner across Product Management, Product Operations, Engineering, Data, AI and business teams to determine the right path from opportunity to scalable solution without relying on formal authority.  Translate Complexity into Clarity : Make sophisticated data, technology and AI capabilities understandable and actionable through clear product narratives, demos, executive-ready materials and reusable enablement assets.  AI-Enabled Ways of Working : Apply AI throughout discovery, research, analysis, prototyping, documentation and workflow automation, while continually identifying new opportunities to increase organizational leverage and self-service.  Primary Stakeholders :  Product Managers and Product Operations teams across Enterprise Data + AI  Engineering, Data and AI product teams  Business teams that consum