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Salary: USD 197,700 - 506,300 / annual
Veeam is the Data and AI Trust Company, helping organizations ensure their data and AI are fully understood, secured, and resilient to enable safe AI at scale. The company is the market leader in data resilience and data security posture management, protecting over 550,000 customers worldwide.
You will lead Veeam's enterprise data governance strategy and execution as Director of Data Governance. 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 approaches to ambiguous problems, and influence organizational direction through the standards you set.
Veeam's business runs on data flowing from four source systems—v-Power (Sales), Marketo (Marketing), NetSuite (Finance), and Workday (HR)—through a governed Databricks Lakehouse to certified outputs consumed by Tableau dashboards and AI agents. The governance strategy is federated and pragmatic: central standards with distributed ownership, sequenced by outcome so scope is committed on evidence rather than ambition. Continuous, agent-driven scoring watches a certified object's quality on an ongoing basis, well past sign-off.
Key responsibilities include: running Databricks Unity Catalog as the technical backbone and Atlan as the business-facing catalog; building the certified Bronze-to-Silver-to-Gold pipeline domain by domain; standing up continuous, agent-driven scoring behind certified data with a live trust score; owning executive intelligence reporting that gives leadership a real, current answer to how much of Veeam's data can be trusted and why; registering and governing AI agents that consume Veeam's data; and aligning diverse business domain and data owners across Sales, Marketing, Finance, and HR on defined standards.
This role requires someone curious by default who gets energy from ambiguity, treats data quality as personally accountable at every level, and uses agentic tools daily to work faster. AI tooling is moving fast, so the sequence of what gets built will keep shifting, but the outcome bar remains constant: certified data, a live trust score, and a named owner for both.
REQUIREMENTS:
- Bachelor's degree in Business, data science, information systems, or a quantitative discipline, or equivalent practical experience
- 7+ years of experience in enterprise data governance, data management, or GTM
- Hands-on experience running enterprise data governance in production with a demonstrated track record driving a data and AI governance program end to end: setting standards, getting distributed owners to adopt them, and holding the outcome
- Working knowledge of Databricks Unity Catalog and a business-facing catalog layer such as Atlan, including what it takes to certify a metric end to end
- Daily use of Claude, Claude Code, or a comparable agent as a core working tool, plus the ability to set guardrails for how others use one
- Demonstrated ability to influence organizational direction and shape senior-leader decisions as an individual contributor, without relying on positional authority
BONUS SKILLS:
- Direct experience with v-Power or comparable CRM extension platforms in Sales Operations or Revenue Intelligence context
- Demonstrated change management experience, moving organizations from resistance to adoption through structured engagement
- Depth in AI asset governance, including model registration, MCP service governance, and agentic system access control, ideally with Unity AI Gateway
- Experience with Microsoft Purview for sensitivity classification in Azure and Microsoft 365 environments
- SOC 2 Type II audit experience, particularly data processing integrity and access control evidence
- Experience in a PE-backed or pre-IPO technology company navigating rapid growth
- Background in data mesh, data product operating models, or MDM for customer and product entity resolution
- External contributions in data platform, governance, or AI infrastructure, and familiarity with DAMA-DMBOK frameworks
