Director, Data Governance (REMOTE, WA)

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.

What You’ll Do

Run Databricks Unity Catalog and Atlan as the technical and business-facing backbone of certification, domain by domain

Stand up continuous, agent-driven scoring behind certified data: a live trust score that keeps evaluating after certification, with an automated action attached to it

Own the executive intelligence reporting that gives leadership a real, current answer to how much of Veeam's data can be trusted right now, and why

Register and govern the AI agents that consume Veeam's data, and use agentic tools yourself, daily, to do the work faster.

Align diverse business domain and data owners across Sales, Marketing, Finance, and HR on a defined set of standards.

What You’ll Bring

Bachelor's degree in a related field such as 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 the 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 a 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

#remote #LI-TS1

What you'll get

Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares

Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents

Medical, dental, and vision coverage starting on your first day

Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program

401(k) retirement plan with company matching contributions

Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time

AirVet: 24/7 virtual veterinary care at no cost

Legal services, identity protection, and supplemental health insurance options

Tax-advantaged spending accounts for healthcare, dependent care, and commuting

Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

U.S. Geographic Zones & Compensation Ranges (TTC / OTE)

Zone 1: San Francisco Bay Area, New York City Boroughs

$272,600—$506,300 USD

Zone 2: Washington, California (excluding San Francisco Bay Area)

$249,900—$464,100 USD

Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona

$227,200—$421,900 USD

Zone 4: All other US locations

$197,700—$367,000 USD