Director, Data Governance (REMOTE, WA)

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Are you a curious builder who thrives in a fast-moving, data-driven execution role, curious about how AI can turn quality data into real, operational trust?

Veeam's business runs on data flowing from four source systems, v-Power for Sales, Marketo for Marketing, NetSuite for Finance, and Workday for HR, through a governed Databricks Lakehouse to certified outputs consumed by Tableau dashboards and AI agents. The Senior Director, AI-Ready Data Governance has authored the strategy for how this gets governed: a federated, pragmatic model, central standards, distributed ownership, sequenced by outcome so scope is committed on evidence rather than ambition. Continuous, agent-driven scoring keeps watching a certified object's quality on an ongoing basis, well past the moment of sign-off.

This is a builder and execution role for a deep subject matter expert, with full autonomy to move fast and deliver results. You will lead highly complex, high-visibility initiatives, shape the approach to problems that arrive ambiguous, and influence organizational direction through the standards you set. The strategy, mission, and vision are set. The job is to run Databricks Unity Catalog as the technical backbone and Atlan as the business-facing catalog on top of it, build the certified Bronze-to-Silver-to-Gold pipeline domain by domain, and make certification, lineage, and continuous scoring real enough that governance becomes a standing rhythm rather than a one-off exercise. AI tooling is moving fast enough that the sequence of what gets built when will keep shifting. What does not shift is the outcome bar: certified data, a live trust score behind it, and a named owner for both.

This is a job for someone who is curious by default. Someone who would rather have an agent draft the first pass of a lineage map than wait for a meeting about it, who gets energy from ambiguity because the pace of AI tooling means the plan will keep changing, and who treats data quality as something they are personally accountable for at every level, source system to dashboard to agent output, ahead of whatever a report tells them after the fact.