Product Manager, AI & Enterprise Data

NBCUniversal is one of the world's leading media and entertainment companies. They are looking for an experienced Product Manager, Data & Analytics to define and deliver data products, leveraging AI technology to provide insights on marketing and viewership through measurement data.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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