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Director, Product Management - Assessments Automation & Data Mapping Automation

Veeam Software
Data GovernanceHybridFull-timeSeattle, WA

Veeam Software is hiring for the role of Director, Product Management - Assessments Automation & Data Mapping Automation, Seattle, WA (Hybrid). This is a Data Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Veeam Software.

Organization: Veeam SoftwareLocation: Seattle, WAWorkplace: HybridFocus: Data GovernancePosted: Jul 31, 2026
Veeam Software is hiring for this Data Governance role in Seattle, one of the metros GRC Careers tracks for governance, risk, and compliance hiring. See other GRC roles in Seattle →

Drives product strategy for intelligent privacy operations, automated privacy impact assessments, and data mapping automation across complex data ecosystems. Translates global privacy frameworks like GDPR and CCPA into scalable software tools for enterprise data governance and security posture management. Partners with cybersecurity, product, and compliance teams to automate risk detection.

Location and market context

This role is based in Seattle on-site. Local candidates benefit from being close to Veeam Software's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About data governance roles

Data governance establishes ownership, quality, and controls over data as an asset. It is foundational to trustworthy analytics and AI, spanning cataloging, lineage, and access. Roles like this one are typically evaluated against frameworks such as data management frameworks, data quality and lineage standards, and privacy and security controls.

How to position yourself for this data governance role

Strong candidates emphasize data ownership and stewardship, quality and lineage, catalog and access controls, and enabling analytics and AI on a trusted data foundation. In your resume and outreach, tie your experience to how Veeam Software would apply data management frameworks, data quality and lineage standards, and privacy and security controls, and lead with concrete outcomes rather than duties.

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