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About the Role
The Product Manager, Enterprise Data & AI will be part of the Enterprise Data + AI Product organization, transforming business problems into valuable products, solutions, and experiences. This is a hands-on role requiring strong product judgment, business curiosity, technical fluency, and a bias for action, operating at the intersection of business, product, data, and AI.
Responsibilities
- 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 go-to-market motions to drive understanding and adoption.
- Establish Voice of the Customer and product feedback loops to inform future priorities.
- Measure adoption and business value for priority initiatives.
- Ensure clear communication between business, Product, Data, Engineering, and AI teams.
- Implement AI-enabled ways of working to increase speed, quality, and individual leverage.
- Build trusted relationships with stakeholders across the enterprise to understand workflows and uncover problems, opportunities, and unmet needs.
- Translate stakeholder needs into clear use cases, product opportunities, hypotheses, and measurable outcomes, connecting them to existing enterprise products and capabilities.
- Use modern AI-assisted development, prototyping, and workflow tools to rapidly bring ideas to life, test assumptions, and create tangible experiences.
- Develop positioning, demonstrations, enablement materials, and engagement motions to help stakeholders understand, adopt, and successfully use enterprise products and capabilities.
- Define and track appropriate measures of adoption, engagement, and business value, using quantitative and qualitative data to drive decisions.
- Provide business, customer, and adoption signals to Product Managers and leaders to inform roadmap priorities, investment decisions, and future portfolio direction.
- 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, continually identifying new opportunities to increase organizational leverage and self-service.
Requirements
- 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, or a related product 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.
- Ability to translate complex technical concepts into clear, compelling, and actionable guidance for both technical and non-technical audiences.
- Strong stakeholder management and cross-functional leadership skills with demonstrated ability to influence without formal authority.
- 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 GitHub Copilot strongly preferred; 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 developing product positioning, go-to-market strategies, demonstrations, enablement, or adoption programs for technical products.
- 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.
- Builder mentality with a bias toward experimentation, learning, and tangible outcomes over process for process’s sake.
- Intellectual curiosity and willingness to rapidly learn unfamiliar business and technical domains.
- Strong ownership mindset and follow-through; proactive driver who identifies gaps and moves work forward without waiting for perfect clarity.
- Ability to move fluidly between strategy and execution — from senior-level business conversations to hands-on building and problem solving.
Skills
- Product Management
- Product Strategy
- Technical Product Marketing
- MarTech/AdTech
- Solutions
- Data/AI products
- Customer-facing technology
- AI-assisted development
- Prototyping
- Workflow tools
- Stakeholder management
- Cross-functional leadership
- Communication
- Enterprise data platforms
- Identity
- CRM
- Analytics
- AI platforms
- GitHub Copilot
- Claude Code
- Cursor
- GitHub
- Jira
- Confluence
- Figma
- Analytics/BI platforms
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 5+ years of experience
Education Level
- Bachelor’s degree or equivalent practical experience
Salary/Compensations
- USD 110000 - USD 145000 - yearly
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid leave
- Tuition reimbursement
- Variety of other discounts and perks
About the Company
- NBCUniversal is a leading media and entertainment company creating world-class content distributed across film, television, and streaming, and brought to life through global theme park destinations, consumer products, and experiences.
- The company owns and operates leading entertainment and news brands including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock.
- NBCUniversal produces and distributes premier filmed entertainment and programming through its 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.
- It operates industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort and Universal Studios Hollywood.
- NBCUniversal is a subsidiary of Comcast Corporation.
- The company's impact is rooted in improving the communities where its employees, customers, and audiences live and work, with a rich tradition of giving back and ensuring employees have the opportunity to serve their communities.
- NBCUniversal champions an inclusive culture and strives to attract and develop a talented workforce to create and deliver a wide range of content reflecting its world.
Equal Opportunity
- 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.
- Qualified individuals with a disability or disabled veteran may request reasonable accommodation during the application and/or recruitment process due to their disability.