Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are storytellers and innovators, creators and builders, entertainers and engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touchpoints serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our technologists design and build the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Reach, Scale & Impact: Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories (Disney+, Hulu, ESPN, ABC, ABC News, etc.).

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.

Senior Product Manager II – Data Product Team
The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN’s portfolio of digital products. You’ll own instrumentation outcomes across web, mobile, and connected TV, defining what gets measured, designing schemas, and delivering end-to-end across the full lifecycle.

Own instrumentation outcomes for ESPN’s digital products – accountable for completeness, accuracy, and usability.

Define measurement scope, behavioral signals, and event schemas to support analytics, reporting, and experimentation.

Translate stakeholder questions into precise instrumentation specifications (events, parameters, identifiers, schemas).

Drive instrumentation from discovery through launch, coordinating Product Engineering, Analytics Engineering, QA, and Platform teams.

Ensure instrumentation is implemented correctly and meets platform standards.

Configure and operate the analytics platform stack—implementation, maintenance, and optimization.

Identify instrumentation gaps, provide sharper specs, validate, and coordinate with engineering and QA.

Audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions.

Mentor peer PMs and share instrumentation expertise.

Basic Qualifications

7+ years in analytics instrumentation, data product management, or analytics engineering with a track record of owning outcomes.

Deep hands‑on experience designing event-based data models and schemas across web, mobile, and connected TV.

Ability to translate ambiguous business questions into precise instrumentation specifications.

SQL fluency and experience in cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent).

Experience configuring and operating enterprise analytics platforms at scale.

Proven ability to orchestrate cross-functional instrumentation delivery.

Bias for action and ownership mindset—solve problems end-to-end and present strategy to senior leadership.

Use of AI-enabled tools as a force multiplier.

Clear, crisp communication for technical specs and stakeholder influence.

Preferred Qualifications

Experience with sports, media, or direct-to-consumer digital products at scale.

Hands‑on experience implementing Adobe CX Analytics solutions (Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform) at enterprise scale.

Expert understanding of media industry measurement solutions (Nielsen, Comscore) and integration within a major media organization.

Familiarity with event-driven architectures or streaming data infrastructure.

Experience enabling self-service analytics at scale (metrics frameworks, reporting taxonomies, dashboarding).

Knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA).

Required Education
Bachelor’s degree in computer science, engineering, business, analytics, or a related field, or equivalent practical experience.

Equal Employment Opportunity Statement: The Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. We will only respond to reasonable accommodation requests related to the accessibility of the online application system due to a disability.

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