Senior Data Product & Asset Governance Lead

EY; San Francisco (CA); On-site; USD 188,000 - 338,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) retirement plan

Paid time off

Job summary

EY is seeking an Associate Director for Data Product and Asset Governance to shape governance for enterprise data products and assets. You will blend governance, product management and hands‑on implementation to enable trusted, searchable data assets and federated stewardship across the organization.

You will define ownership, metadata, quality, lineage and access requirements; translate them into practical standards, workflows and controls; and drive adoption through proven product management

Qualifications

• Expertise in modern data governance and federated operating models.
• Experience translating governance requirements into technical specifications and workflows.
• Hands‑on implementation of data governance platforms and metadata models.
• Strong business and technical stakeholder engagement across global teams.

Responsibilities

• Define enterprise data governance models including ownership and lifecycle.
• Configure workflows for registration, onboarding, discovery, access, sharing and certification.
• Translate policy requirements into machine‑readable governance rules and metadata.
• Partner with business and technology to deliver governance capabilities from discovery to operational handover.

Skills

Governance

Product management

Stakeholder engagement

Data quality

Education

Bachelor’s degree or equivalent in information systems, CS, data eng

Tools

Microsoft Purview

Databricks Unity Catalog

Collibra/Informatica/Alation/Atlan

Job description

EY is seeking an Associate Director for Data Product and Asset Governance to shape governance for enterprise data products and assets. You will blend governance, product management and hands‑on implementation to enable trusted, searchable data assets and federated stewardship across the organization.

You will define ownership, metadata, quality, lineage and access requirements; translate them into practical standards, workflows and controls; and drive adoption through proven product management