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 Senior Product Manager, Enterprise Data Products is a hands-on, technical product leader responsible for building and scaling Medallion data products and AI-powered agentic workflows that enable data-driven decision-making across NBCUniversal's brands and business units.

We are looking for a builder, someone with a maker's mindset who actively leverages AI tools (Github Copilot, Claude, ChatGPT, Snowflake CoWork and more) to prototype, accelerate, and ship. This role goes beyond traditional product management: you will roll up your sleeves to help design and build agentic workflows, rapidly prototype AI capabilities, and partner closely with engineering to turn ideas into production-grade data products.

This role combines deep, end-to-end PDLC ownership with frontline business unit (BU) engagement, acting as a primary point of contact for multiple business units throughout their data product adoption journeys. You will own products from discovery through delivery and iteration, ensuring data products solve real business problems, are reusable at scale, and are successfully adopted through hands-on partnership and guidance.

Senior Product Managers own multiple concurrent BU engagements, typically 2–3, while driving the product roadmap and backlog for assigned data products and AI capabilities. This role acts as the connective tissue between data engineering teams, marketing/brand stakeholders, data science teams, and product management teams.

What You Will Own

• Product Strategy & Delivery
  • Own end-to-end PDLC execution — from discovery and definition through delivery, launch, and iteration — for assigned Medallion data products and AI agentic workflow capabilities.
  • Own the product roadmap and backlog, prioritizing reusable solutions that scale across business units.
  • Drive prioritization, sequencing, and tradeoff decisions based on customer value and enterprise impact.
  • Write clear PRDs, user stories, and acceptance criteria to guide delivery teams.
  • Actively prototype and build agentic workflows and AI capabilities alongside engineering, accelerating delivery with AI tools.
  • Partner with data engineering and data science teams to ship production-grade data products and AI capabilities.
  • Define success metrics and track adoption, usage, and product health across engagements.
• Business Unit Engagement
  • Own and manage 2–3 concurrent BU engagements, acting as the primary product lead for each.
  • Lead structured discovery across business units to identify systemic workflow friction and translate insights into scalable data-enabled solutions.
  • Support BU teams through hands-on enablement, guidance, and adoption of self-service data products.
  • Design and evolve reusable enablement approaches, templates, and frameworks that reduce dependency on white-glove support.
• Cross-Functional Leadership
  • Drive measurable shifts in how business units leverage data and AI to plan, prioritize, and deliver work.
  • Advise cross-functional teams on complex data product and AI workflow matters.
  • Establish and uphold standards for data governance, responsible AI, and centralized knowledge practices across engagements.
• Strategic Impact
  • Contribute to data product standards, playbooks, and documentation.
  • Communicate progress, outcomes, and tradeoffs to stakeholders and executive leadership.
  • Understand the interrelationships between data platforms, AI frameworks, marketing technology, and business workflows.
  • Exercise judgment in selecting methods, evaluating and adapting complex techniques, and defining evaluation criteria for obtaining results.

Requirements:

• 8+ years of product management, technical product management, engineering, or heavy data experience with a relevant Bachelor's degree; or 3 years with a Master's degree; or equivalent work experience.
• A builder's mindset — you actively use AI tools to prototype, accelerate, and ship rather than just specify and delegate.
• Hands-on experience building or prototyping AI agents and agentic workflows.
• Fluency with AI development and productivity tools
• Technical depth sufficient to partner with engineering on architecture, evaluate tradeoffs, and contribute directly to building data products and agentic capabilities.

Desired Characteristics:

• SQL proficiency — Comfortable writing queries, understanding data models, and evaluating data quality (e.g. Snowflake, BigQuery, etc.)
• AI/ML frameworks — Demonstrated experience applying AI agent frameworks, LLM-based products, or automation tools to materially improve workflows and decision-making.
• Familiarity with emerging AI standards and patterns (e.g., Model Context Protocol, vector databases, etc.).
• Experience building or scaling Medallion architecture (Bronze/Silver/Gold layers) or data products.

Additional Requirements:

• Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.

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. Salary range: $130,000 - $170,000 (bonus eligible)

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. 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, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.