Head of Product | Tech

Operations & Technology

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. 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 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.

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.

Voice of the Customer and product feedback loops that inform future priorities

Clear communication between business, Product, Data, Engineering and AI teams

AI-enabled ways of working that increase speed, quality and individual leverage

Business Discovery & Use-Case Development : Product Opportunity Development : 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 : 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.

Make sophisticated data, technology and AI capabilities understandable and actionable through clear product narratives, demos, executive-ready materials and reusable enablement assets.

Apply AI throughout discovery, research, analysis, prototyping, documentation and workflow automation, while continually identifying new opportunities to increase organizational leverage and self-service.

Product Managers and Product Operations teams across Enterprise Data + AI

Engineering, Data and AI product teams

Business teams that consume enterprise data, technology and AI products, including Marketing, Advertising, Analytics and other enterprise functions

Bachelor’s degree or equivalent practical experience.

5+years of experience in Product Management, Product Strategy, technical Product Marketing,MarTech/AdTech, Solutions, Data/AI products, customer-facing technology ora relatedproduct and technology discipline.

Demonstrated ability to take an ambiguous customer or business problem from discovery through a clear product opportunity, solution or measurable outcome.

Strong product judgment and customer-discovery skills, including the ability to challenge a stated request and uncover the underlying business need.

Strong data fluency and comfort working with analytics, metrics, data products and technical concepts.

Hands-on experience using AI-assisted development, prototyping or automation tools to turn ideas into working prototypes, workflows or other tangible solutions.

Proven ability to operate independently, create structure from ambiguity and drive work from problem through outcome with minimal oversight.

Excellent written, verbal and visual communication skills.

Experience with enterprise data platforms, MarTech, AdTech, identity, CRM, analytics, AI platforms or other data-intensive product environments.

experience with Claude Code, Cursor or similar AI development environments is also valuable.

Experience building prototypes, lightweight applications, automations or agentic workflows without relying exclusively on an Engineering team.

Experience establishing Voice of the Customer, customer-success, product usage or adoption feedback loops.

Familiarity with modern product and collaboration tools such as GitHub, Jira, Confluence, Figma and analytics/BI platforms.

Ability to move fluidly between strategy and execution — from senior-level business conversations to hands-on building and problem solving.

Hybrid : This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation.