Data and AI Governance, Senior Manager

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

Veeam is building an AI-ready, agentic data governance program designed to make trusted data accessible, reliable, and actionable across the enterprise. As data flows through our Databricks Lakehouse into executive reporting and AI-powered applications, we're transforming how data governance operates through automation, continuous trust measurement, and intelligent workflows.

We are now looking for a Data and AI Governance, Senior Manager to help turn this vision into a scalable, operational reality.

Reporting directly to the Senior Director, AI-Ready Data Governance, you'll play a critical hands-on role in designing, building, and operating the technical capabilities behind Veeam's data governance strategy. You'll develop AI agents, automated governance workflows, catalog integrations, trust-scoring systems, and intelligent escalation mechanisms that make governance continuous rather than a one-time exercise.

This is a senior individual-contributor position offering significant technical ownership and the opportunity to shape how AI-enabled governance operates across the organization. You'll partner closely with the Senior Director, who owns the overall strategy and program direction, while bringing your own technical judgment, curiosity, and experimentation to the implementation.

We're looking for someone who enjoys building solutions, exploring emerging AI capabilities, and replacing manual governance activities with intelligent automation. This is not a traditional policy-administration, catalog-maintenance, or people-management role.

What You’ll Do

Design, build, and operate Veeam's AI-ready Data Governance and Trust Operating Process within the Governance Hub, our centralized platform for governance automation, monitoring, and reporting.

Develop automated data discovery and lineage capabilities to identify authoritative data sources, critical data assets, and key business fields, validating how information flows from enterprise systems through the Databricks Lakehouse to downstream analytics and AI applications.

Build governance workflows that establish clear data ownership, business definitions, usage context, and accountability, collaborating with stakeholders to resolve ambiguities and implement consistent standards across business domains.

Design and implement continuous, AI-driven data trust scoring systems that evaluate data against defined quality and governance dimensions, determine Trust Tiers, and surface risks, exceptions, and recommended actions through Daily Intelligence and Executive KRI Reporting.

Develop automated notification, escalation, and remediation workflows that identify declining data trust, alert accountable owners, protect downstream consumption when necessary, and track issues through resolution.

Lead the technical implementation and integration of Databricks Unity Catalog and business-facing data catalog platforms such as Atlan, establishing metadata management, lineage, tagging, access controls, ownership, and certification workflows.

Build, register, deploy, and maintain AI agents and automated pipelines that perform governance activities within defined security boundaries, access permissions, and operational guardrails.

Collaborate with business and technical stakeholders across Sales, Marketing, Finance, HR