Manager, Data Product Management

About the role

The Data Product team is seeking a Manager, Data Product Management to lead instrumentation across the News & Entertainment portfolio of digital products from world-renowned brands such as ABC, ABC News, Marvel, Freeform, FX, and National Geographic, among others. The data collection this team leads is the foundation for measurement across the portfolio — the clickstream telemetry and video consumption signal that determine what the business knows about product engagement and content performance. It's how some of the world's most recognizable brands understand how their content is consumed, which means it has to hold up when decisions get made — and building data the business can trust is at the heart of the work.

Responsibilities and Duties of the Role

• Lead and develop the team, setting the standard for N&E measurement and raising the bar across Product & Technology.
• Collect with intent — building the data foundation for intelligence about how the business's products and content perform.
• Own and evolve N&E measurement strategy across editorial, video, and audience measurement, sequencing multi-brand priorities and evaluating emerging capabilities.
• Drive execution across brands, resolving cross-team dependencies and staying ahead of delivery risk.
• Bring the technical depth to hold the team to a high bar — pressure-testing implementations, event and schema specs, and quality standards across the measurement stack.
• Own data quality outcomes across the portfolio, closing coverage gaps before downstream teams do.
• Ensure stakeholder needs become measurement specs and platform configurations that scale across brands, increasingly AI-assisted and built with engineering.
• Serve as the single point of contact for senior leadership across N&E's brands, translating their priorities into measurement direction.
• Partner with Data Engineering, Product Engineering, Product Management, and Business Operations across the N&E portfolio.
• Manage relationships with enterprise platform partners, ensuring Disney realizes the full value of those investments.
• Represent the team's strategy to senior leaders across the company.

Basic Qualifications

• 8+ years in data product management, data instrumentation, or digital analytics implementation.
• Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for both performance and the team's standards.
• Fluency with AI tools in your own work, and a track record of raising that bar across your team.
• Deep expertise across enterprise analytics and instrumentation platforms — capable of setting the standard for how the work gets done, not just overseeing it.
• Strong product sense: you've owned strategy and roadmap for a measurement product or portfolio with clear outcome accountability.
• Proven ability to represent measurement priorities, tradeoffs, and risks to senior stakeholders across a multi-brand portfolio.
• Track record of cross-functional execution across Product Engineering, Product Management, Analytics, QA, Research, and Program teams in matrixed organizations.
• Strong command of the modern cloud data stack and how instrumented data flows downstream.
• Clear communicator who can make complex technical topics accessible and actionable for any audience, including executives.

Preferred Qualifications

• Experience leading measurement for News, Media, or content-driven digital products at scale: editorial, video, audience measurement, or content performance analytics.
• Experience managing measurement across a multi-brand or multi-property portfolio with shared quality standards.
• Data observability experience: monitoring platforms and pipelines for quality, freshness, schema drift, and completeness.
• Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in consumer-facing products.
• Experience enabling self-service analytics across a large organization.
• Advanced degree in Product Management, Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience.

Required Education

• Bachelor's degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience.