Sr Technical Product Owner, Prism Data (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 theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

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.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

We are seeking a highly experienced and motivated Sr Technical Product Owner to join our AI Solutions team within Operations & Technology. In this pivotal role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions in areas such as conversational agents, and insights and analytics. This role will involve strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs. 

As a senior team member, you will lead initiatives in a dynamic environment and play a pivotal role in shaping our products and services. If you are passionate about AI, product management, data solutions, and collaborating with cross-functional teams, we invite you to apply and innovate with us. 

Key Responsibilities 

• Product Development: 
  • Collaborate with cross-functional teams and stakeholder community, including Program Management, Product, Engineering, Scrum, and leadership, to scope, develop, and implement GenAI products. 
  • Define and deliver long-term data product strategies for GenAI use cases to optimize performance and scalability. 
  • Develop a deep understanding of stakeholders needs to define detailed, actionable requirements and write user stories for engineering work. 
  • Perform product testing to ensure functionality, accuracy, and performance as well as conduct demos. 
  • Own and maintain products, utilizing feedback to iterate and refine features continuously. 
• Strategic Execution & Stakeholder Engagement: 
  • Drive the execution of product roadmaps, ensuring alignment with strategic goals and long-range plans. 
  • Partner with internal and external stakeholders throughout the end-to-end GenAI use case lifecycle. 
  • Prepare and deliver decks, reports, metrics, recommendations, and other resources to stakeholders and executives. 
• Innovation: 
  • Stay informed on emerging AI, LLM, machine learning, and similar technologies as well as the latest vendor offerings. 
  • Contribute to identifying reusable enterprise GenAI patterns to streamline future implementations. 
  • Identify opportunities to enhance products, improve operational processes, and drive overall efficiency. 

Qualifications

Basic Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent professional experience) 
• 12+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI or data) 
• Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. 
• Strong understanding of data management principles, data warehouses, and data integration techniques 
• Proficiency in analyzing complex data sets and drawing actionable insights to inform product strategy and decision-making 
• Proven ability to work effectively with engineering, data science, marketing, and other teams to deliver high-impact