About this role.
This senior individual-contributor data governance role owns the execution of Veeam's AI-ready governance strategy across sales, marketing, finance, and HR data domains. The Director will operate Databricks Unity Catalog and Atlan, establish certified Bronze-to-Silver-to-Gold data pipelines, and implement continuous agent-driven data trust scoring. Success requires influencing distributed data owners, governing AI agents and data assets, and producing executive reporting on enterprise data trust. The position is highly autonomous, fast moving, and focused on converting governance standards into measurable operational outcomes.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would establish a small set of centrally defined, outcome-oriented standards for ownership, certification, lineage, quality, and access, then assign accountable domain owners to operationalize them. I would begin with high-value certified data products, publish measurable trust scores, and use adoption metrics and executive sponsorship to reinforce accountability rather than relying on governance meetings alone.
I would combine automated signals for freshness, completeness, accuracy, schema stability, lineage coverage, policy compliance, usage, and incident history into a transparent scoring model. Each score threshold would trigger a defined action, such as notifying the owner, restricting certification status, opening remediation work, or escalating material risk to governance leadership.
A strong implementation uses Unity Catalog as the technical control plane for data access, metadata, lineage, and governance enforcement, while Atlan provides an accessible business-facing discovery and stewardship experience. I would ensure key metadata, ownership, certification status, glossary terms, and lineage are consistently synchronized so that technical and business users rely on the same trusted record.
I would maintain an inventory of agents, their approved purposes, underlying models, data sources, permissions, tools, and owners. Governance would include least-privilege access, approved data classifications, prompt and tool guardrails, logging, evaluation criteria, periodic recertification, and monitoring for policy violations or data-quality-related output risks.
I focus on framing governance in terms of their business outcomes, such as forecast confidence, faster decisions, audit readiness, or safer AI adoption. I bring evidence through baseline metrics and targeted pilots, make ownership expectations explicit, and use visible wins to build commitment before expanding standards across domains.
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.
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
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
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