Principal Product Manager: Data Platform Governance

ESPN

Seattle (WA)

On-site

USD 200,000 - 269,000

Full time

3 days ago
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Job summary

Disney Entertainment & ESPN Product & Technology seeks a Principal Product Manager to lead Platform Stewardship and Governed Data Products within Data Platform Governance. You will own strategy, roadmaps, and execution across metrics consistency, semantic layer governance, and metadata management, partnering with engineering and data teams.

You’ll translate strategy into actionable roadmaps, drive standardized definitions across BI tools and AI workflows, and align senior stakeholders in

Qualifications

  • Bachelor's degree in Information Systems, Computer Science, or a related field; 10+ years in enterprise software.
  • Minimum 6+ years as a product manager in large-scale environments.
  • Experience with data governance, metadata management, and data lineage.
  • Experience defining metrics across multiple analytics platforms (Looker, Tableau, etc.).

Responsibilities

  • Lead strategy, roadmap, and execution for Platform Stewardship and Governed Data.
  • Define roadmaps for metadata management, metrics consistency, and lifecycle governance.
  • Establish platform-agnostic metric definitions across BI tools and AI workflows.
  • Drive semantic layer standardization and metadata automation across Snowflake and Databricks.
  • Own end-to-end product lifecycle from definition to launch and iteration.

Skills

Platform governance
Data governance
Executive communication
Cross-functional leadership
Analytical reasoning
Strategic roadmapping

Education

Bachelor's degree in Information Systems, Computer Science, or related field

Tools

Snowflake
Databricks
Looker
Tableau
Data catalog platforms

Job description

Disney Entertainment & ESPN Product & Technology seeks a Principal Product Manager to lead Platform Stewardship and Governed Data Products within Data Platform Governance. You will own strategy, roadmaps, and execution across metrics consistency, semantic layer governance, and metadata management, partnering with engineering and data teams.

You’ll translate strategy into actionable roadmaps, drive standardized definitions across BI tools and AI workflows, and align senior stakeholders in

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