Lead Product Manager at NBCUniversal in New York City, NY

companyDescription 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. jobDescription As Lead Product Manager in Product Management — Data Analytics, you will define and execute the vision, strategy, and roadmap for analytics and data products that power decision-making and performance across Ad Sales. This role requires a hands-on, highly technical product leader who is fluent in data engineering concepts, relational modeling, AI/ML applications, and enterprise analytics platforms. You will translate complex business needs into scalable data products, collaborating closely with data engineering, platform teams, and business stakeholders to transform multi-source datasets into actionable, self-service insights. Key Responsibilities Product Strategy & Roadmap Define and socialize a long-term strategy and outcome-based roadmap for analytics and data products aligned with Ad Sales priorities and NBCU technology standards. Explore and evaluate internal/third-party datasets; shape analytical tools, AI-enabled insights, and scalable data products that deliver measurable business impact. Drive innovation by identifying emerging technologies, data patterns, and opportunities to improve decisioning, automation, and predictive intelligence across the Ad Sales ecosystem. Solution Delivery Translate business needs into clear, technically sound product requirements, functional specifications, user stories, KPIs, and measurable success criteria. Work hands-on with data—querying datasets, validating logic, understanding source-to-target mappings, entity relationships, and data transformation flows. Lead discovery and prototyping initiatives to validate concepts; partner with architecture, platform, and data engineering teams to build and deploy data pipelines, AI/ML models, and BI products. Ensure quality, reliability, and scalability across ingestion, modeling, orchestration, and visualization layers. Program & Project Leadership Plan and manage execution for complex cross-functional initiatives; identify, track, and communicate milestones, dependencies, and risks across globally distributed teams. Establish governance frameworks for backlog management, prioritization, release planning, and change management. Uphold enterprise data governance, privacy, and security standards throughout the product lifecycle. Stakeholder Engagement & Adoption Build strong partnerships with Sales Operations, Strategy, Finance, Marketing, and Engineering; translate user needs into product capabilities and ensure successful adoption via self-service enablement. Communicate strategy, progress, and business outcomes to leadership through compelling storytelling and data-driven insights. Drive continuous improvement by synthesizing feedback, telemetry, usage analytics, and performance trends. Team Leadership Coach and mentor product managers, analysts, and technical team members; foster a collaborative, experimentation-oriented culture focused on excellence and accountability. Create alignment across engineering, business stakeholders, and leadership around vision, priorities, and delivery expectations. qualifications 12+ years in Technical Product Management with deep experience delivering enterprise data, analytics, or BI products end-to-end. Demonstrated strengths across core product pillars: Business Strategy Alignment, Solution Delivery, Requirements Definition, and Project Execution. 7+ years of hands-on experience with modern data stacks—including Snowflake, Databricks, Redshift, BigQuery, AWS/Azure, dbt, and distributed computing frameworks. Strong SQL skills with the ability to query, validate, and analyze large datasets; familiarity with data modeling techniques (Star/Snowflake schema, dimensional modeling, entity-relationship design). Experience building scalable data products and BI solutions using tools such as Tableau, Power BI, MicroStrategy, Looker, or similar platforms. Familiarity with AI/ML workflows (feature engineering, model evaluation, inference pipelines) and pragmatic application of AI in analytics products. Experience in Ad Tech and Ad Sales ecosystems including identity, audience data, measurement, forecasting, and campaign analytics. Proven ability to lead cross-functional teams, influence executives, and communicate complex technical concepts to business stakeholders. Strong understanding of data governance, data quality, privacy, and compliance (GDPR, CCPA) and ability to operationalize guardrails in product workflows. Ability to “hold your own” in technical discussions with architects, engineers, and data scientists. Preferred Experience with Adobe Analytics, Google Ad Manager/DoubleClick, FreeWheel, Nielsen, Comscore, LiveRamp, or DoubleVerify. PMP, Scrum Master certification, or MBA. Track record of leading global teams and shipping enterprise-scale data or AI-powered products. Knowledge of Agile methodologies and JIRA workflows. Passion for data storytelling, comfort navigating complex relational datasets, and the ability to articulate insights using data. Additional Requirements: Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. 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: $150,000 - $190,000 (bonus eligible) additionalInformation 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 and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.