Senior Product Lead, Platform Stewardship & Data Governance

The Walt Disney Company; Seattle (WA); On-site; USD 200,000 - 269,000; Full time

Job summary

The Walt Disney Company is seeking a Principal Product Manager to lead Platform Stewardship and Governed Data within Data Platform Governance. You’ll own strategy, roadmaps, and execution across metrics consistency, semantic layer governance, and data lifecycle controls.

You will partner with engineering and data architects to automate metadata coverage, monitor semantic layer accuracy, and drive enterprise-wide governance, reporting to senior leadership and aligning stakeholders across Privacy,

Qualifications

• Bachelor's degree in Information Systems, Computer Science, or related field and 6+ years as a product manager.
• Extensive experience in Data Management, Data Governance, Metadata Management and Data Catalog.
• Experience with data lineage, catalog modernization, lifecycle governance including AI provenance.
• Ability to govern metrics across Looker, Tableau or equivalent platforms and communicate to executives.

Responsibilities

• Lead strategy and roadmap for Platform Stewardship and Governed Data in senior forums.
• Define and drive the product strategy for metadata management and lifecycle governance.
• Establish platform-agnostic metric definitions across BI tools and AI workflows.
• Own end-to-end lifecycle from requirements through launch, adoption, and iteration.

Skills

Product strategy

Stakeholder alignment

Cross-functional leadership

Data governance

Metadata management

Data lineage

Education

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

Tools

Snowflake

Databricks

Looker

Tableau

Job description

The Walt Disney Company is seeking a Principal Product Manager to lead Platform Stewardship and Governed Data within Data Platform Governance. You’ll own strategy, roadmaps, and execution across metrics consistency, semantic layer governance, and data lifecycle controls.

You will partner with engineering and data architects to automate metadata coverage, monitor semantic layer accuracy, and drive enterprise-wide governance, reporting to senior leadership and aligning stakeholders across Privacy,