
Product Manager, AI – Enterprise Data
NBCUniversal
full-time
Posted on:
Location Type: Remote
Location: New York • United States
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Salary
💰 $110,000 - $145,000 per year
About the role
- 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.
Benefits
- medical, dental and vision insurance
- 401(k)
- paid leave
- tuition reimbursement
- a variety of other discounts and perks
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingdata transformationdata ingestionSQLAIautomationanalyticsproduct managementquantitative skillsproblem-solving
Soft Skills
stakeholder managementcommunicationcollaborationrisk managementproduct visionalignmentdocumentationuser workflow alignmentanalytical skillsleadership
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in EngineeringBachelor’s degree in Analytics