Remote Data & Analytics Product Manager

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, Dream Works 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  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.

We are looking for an experienced and motivated Product Manager, Data & Analytics, to join our team within Operations & Technology. In this role you will be responsible for defining and delivering data products, using standard AI technology, power marketing and viewership insights using measurement data. This role involves owning the product vision, roadmap, and execution of analytics solutions that enable business stakeholders to understand audience performance, content performance, promo effectiveness, and competitive positioning across linear, digital, and cross-platform ecosystems.

The Product Manager partners closely with Data Engineering, Analytics, Research, and Business stakeholders to ensure data is accurate, scalable, well-governed, and translated into actionable insights.

Key Responsibilities

Product Strategy & Ownership

- Own and drive the product vision and roadmap for multiple data products

- Translate business needs into clear product requirements, user stories, and prioritized backlogs.

- Drive alignment between business objectives and enterprise data strategy.

- Ensure accurate ingestion, transformation, and data modeling across enterprise analytics platforms.

- Partner with Research and Analytics teams to ensure methodologies, calculations, and metrics align with industry standards and business expectations.

- Identify opportunities to apply AI, automation, and agent-based solutions to improve insight generation and operational efficiency

Data Quality, Governance & Compliance

· Establish and enforce data quality standards, validation rules, and reconciliation processes.

· Collaborate with Data Governance teams on metadata, data dictionaries, semantic layers, and data mesh registration.

Delivery & Execution

· Work closely with Data Engineering and Platform teams to deliver scalable, reliable, and performant analytics solutions.

· Own acceptance criteria and validate delivered features against business and data quality requirements.

· Proactively manage risks related to data changes, vendor updates, and metric deprecations.

· Communicate product roadmap, progress, and impact to executive and senior leadership.

Stakeholder Engagement

· Act as the primary point of contact for stakeholders across Analytics, Research, Ad Sales, Programming, and Marketing.

· Drive adoption by ensuring products are intuitive, well-documented, and aligned to user workflows.

Required Qualifications

· Bachelor’s degree in computer science, Engineering, Analytics or a related field (or equivalent professional experience)

· 5+ years of experience in product management, with at least 2 years owning data or analytics products.

· Proven ability to translate complex data…