We are looking for an experienced and motivated Product Manager, Data & Analytics, to join our team within Operations & Technology. In this role you will be responsible for defining and delivering data products, using standard AI technology, power marketing and viewership insights using measurement data. This role involves owning the product vision, roadmap, and execution of analytics solutions that enable business stakeholders to understand audience performance, content performance, promo effectiveness, and competitive positioning across linear, digital, and cross-platform ecosystems.

The Product Manager partners closely with Data Engineering, Analytics, Research, and Business stakeholders to ensure data is accurate, scalable, well-governed, and translated into actionable insights.

Key Responsibilities

Product Strategy & Ownership

- 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

Data Quality, Governance & Compliance

· 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.

Delivery & Execution

· 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.

Stakeholder Engagement

· 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.