Sr Product Manager

NBCUniversal•New York, NY

2d•$130,000 - $170,000•Remote

About The Position

NBCUniversal is seeking an experienced and motivated Sr. Product Manager, Data & Analytics, to join their Operations & Technology team. This role is responsible for defining and delivering data products, utilizing standard AI technology, and executing a strategic vision for enterprise data platforms. The successful candidate will be a thoughtful and experienced leader, responsible for defining and prioritizing requirements for large-scale initiatives. They will drive comprehensive data strategy development, execution, and governance, while staying current with rapidly evolving data technologies and market trends. This role frequently liaises with executive leadership and domain owners to gain consensus for a Unified Data Architecture vision and drives collaborative cross-domain efforts to ensure impactful product delivery. The Sr. Product Manager partners closely with Data Engineering and other Data Domain specific teams to ensure data is accurate, scalable, well-governed, and translated into actionable insights.

Requirements

Bachelor’s degree in computer science, Engineering, Analytics or a related field (or equivalent professional experience)
Experience in media, entertainment, or advertising technology industries
8+ 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.

Nice To Haves

Experience with media, entertainment, or advertising analytics.
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.

Responsibilities

Lead product strategy & development for large-scale data platform solutions, supporting petabyte-scale data processing for analytical workloads.
Create & govern common platform for data discovery and enable enterprise cross platform data sharing patterns.
Drive Semantic Modelling and metadata management strategy for BI/AI consumption.
Implement enterprise data governance frameworks ensuring data quality, lineage tracking, privacy compliance (GDPR, CCPA), and security standards.
Prepare data infrastructure for advanced analytics, machine learning, and generative AI applications.
Monitor & Drive user adoption of data platform solutions, own Monthly OKRs to assess success of products.
Use data & insights to inform ongoing product development and find opportunities for efficiency and addressing customer pain points.
Capture lifecycle for surfacing new features and capabilities from a Sandbox environment for preliminary testing.
Operate as a single point of contact between Product Platform and Engineering DE/Platform.
Serve as key point of contact for data technology vendors, representing enterprise-wide business needs and evaluating emerging solutions.
Coordinate a single conversation between Data product, Engineering and vendor partner teams.
Conduct comprehensive assessments of data platforms, tools, and services to support build-vs-buy decisions.
Propose and enforce strategies to minimize dependency on vendor roadmaps and to avoid vendor lock in, while ensuring speedy time to market.
Identify and pilot emerging data technologies that could provide competitive advantages to the business.
Define a roadmap for our internal platforms including agentic AI, MCP, new feature capability, etc.
Coordinate communications across product and engineering teams.
Create and continuously evolve enterprise-wide data strategy that scales with changing market conditions and business requirements across NBCUniversal's diverse brand portfolio.
Gain buy-in and consensus from executive leadership and domain leaders through strategic presentations & ROI analysis.
Monitor and assess emerging data technologies, competitive landscape, and industry best practices to inform strategic decision-making.