Product Manager, AI & Enterprise Data at NBCUniversal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

145000.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Vision, Roadmap Development, AI Technology, Data Products, Analytics Solutions, Data Engineering, Data Quality, Data Governance, Stakeholder Management, SQL, Agile Delivery, Metric Alignment, User Stories, Product Requirements, Cloud Data Warehouses, BI Tools

Industry

Entertainment Providers

Description

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. 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. Job Description 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. Qualifications 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 and measurement concepts into clear product requirements. · Advanced technical, quantitative, analytical, research, and problem-solving skills. · Experience working with modern data platforms and technologies (cloud data warehouses, BI tools, semantic layers, AI). · Working knowledge of SQL to validate data, metrics, and analytical outputs. · Strong stakeholder management and communication skills. Preferred Qualifications · Experience with media, entertainment, or advertising analytics. · Familiarity with cross-platform measurement (linear, digital, streaming). · Hands-on experience with Nielsen viewership and measurement data. · Experience supporting or building AI-driven analytics solutions or agents. · Up-to-date knowledge of emerging AI, LLM, machine learning technologies, and relevant vendor ecosystems. · Experience operating in Agile product delivery environments. · Knowledge of data governance, metadata management, and enterprise analytics best practices. · Experience with product and delivery tools like Jira and Confluence. 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: $110,000 - $145,000 Additional Information 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. Business Segment: Operations & Technology Compensation: USD110000 - USD145000 - yearly

Responsibilities

The role involves owning the product vision, roadmap, and execution for analytics solutions that help business stakeholders understand audience and content performance across linear, digital, and cross-platform ecosystems. This includes defining and delivering data products utilizing standard AI technology to power marketing and viewership insights using measurement data.