NBCUniversal

Product Manager, AI – Enterprise Data

NBCUniversal

full-time

Posted on:

Location Type: Remote

Location: New YorkUnited States

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Salary

💰 $110,000 - $145,000 per year

Tech Stack

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