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Principal Product Manager, Data Platform Governance

工作 ID 10161341 地點 西雅圖, 华盛顿州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 有意工作的公司 Disney Entertainment and ESPN Product & Technology 日期已公佈 Oct. 15, 2026
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工作概要:

Job Requirements

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 touch points 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 are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

 

Reach, Scale & Impact: More than ever, 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…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

 

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

 

What You'll Be Doing

We are seeking a Principal Product Manager to lead strategy, roadmap, and execution for Platform Stewardship and Governed Data Products within Data Platform Governance. This role sits at the center of the Platform Governance pillar — where metric definitions, semantic standards, catalog metadata, and lifecycle governance must converge so that every answer, whether surfaced in Looker, or Tableau or returned by an AI agent, is trustworthy, consistent, and traceable.

 

You will own a large, ambiguous, business-critical product area spanning Metrics Consistency, Semantic Layer Governance, Metadata Management, and Data Lifecycle Governance across multiple platforms and teams, operating with broad autonomy and minimal direction to define strategy and drive execution. You will translate strategy into executable roadmaps. The work moves the organization from tribal knowledge and manual reviews to measurable, automated controls that scale with the business — requiring deep product judgment, technical fluency in data pipelines and lineage, and the ability to align senior stakeholders across Privacy, Legal, Security, Business, Data Analytics and Engineering.

 

Key Responsibilities:

  • Serve as the primary product lead for Platform Stewardship and Governed Data, representing strategy and roadmap decisions in senior leadership and executive forums.
  • Define and lead the product strategy and roadmap for Platform Stewardship and Governed Data, prioritizing metadata management, metrics consistency, semantic layer governance, catalog modernization, and lifecycle governance.
  • Establish platform-agnostic, steward-owned metric definitions that resolve fragmentation across BI tools, and AI agent workflows.
  • Drive semantic layer standardization and metadata automation, so governed definitions are discoverable, consistent, and reusable across Snowflake and Databricks domains.
  • Own the end-to-end product lifecycle for stewardship capabilities — from problem definition and PRD through launch, adoption, and iteration.
  • Partner with engineering and data architects to automate and improve metadata coverage, semantic layer accuracy monitoring, and data lifecycle controls.
  • Champion governed semantics and metadata foundations across ingestion, classification, usage, retention, lineage, and AI provenance.
  • Align senior stakeholders on strategy and roadmap.
  • Secure and prioritize engineering capacity through the intake process, tying delivery to measurable business outcomes.
  • Define and track KPIs such as Metric Reliability Score, semantic layer accuracy, metadata coverage, and catalog adoption to guide prioritization.
  • Act as the domain subject matter expert for semantic layer governance, data catalog practices, and steward-driven metadata workflows.

 

Qualifications Required

  • Bachelor's degree in Information Systems, Computer Science, or a related field with at least 10 years of relevant experience in an enterprise software development environment, with a minimum of 6 years as a product manager.
  • Expertise with Data Management, Big Data & Analytics, Data Warehouse, Data Governance, Metadata Management, Data Catalog, Semantic Layer, or related fields.
  • Experience with data lineage, catalog modernization, and lifecycle governance including AI provenance and agent-driven data consumption.
  • Experience defining and governing business metrics across complex data architectures and multiple analytics platforms (e.g., Looker, Tableau, or equivalent BI and semantic layer tools).
  • Hands-on experience with Snowflake and Databricks (or equivalent enterprise data platform technologies), including semantic layer tooling, data catalog platforms, and metadata management systems.
  • Familiarity with data domains, enterprise data catalog platforms, and steward-driven metadata workflows.
  • Proven ability to develop product strategies and effectively communicate recommendations to executive management.
  • Skilled at working effectively with cross-functional teams and influencing conversations to drive positive outcomes for the product and the business.
  • Adept at driving clarity through all levels of the organization for both technical and non-technical audiences.
  • Communicates difficult concepts and negotiates with others to adopt a different point of view.
  • Demonstrable analytical and problem-solving skills with the ability to balance various priorities.

 

#TECHATDISNEY





Disclaimer

PAY TRANSPARENCY

The hiring range for this position in Seattle, Washington is $200,400 to $268,700 per year and in Santa Monica, California is $191,300 to $256,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

 

This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

To learn more about Disney's guidelines on the use of AI for candidates, click here.

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

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. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Having technical issues? View the FAQs for help.



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