Data and AI Governance, Senior Manager – AI-Ready Data Governance

Job Description

Data and AI Governance, Senior Manager | Veeam

The Tone:
This is a senior individual-contributor role at Veeam, located remotely in San Jose, Costa Rica. Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. This role is crucial for building an AI-ready, agentic data governance program that transforms how data governance operates through automation, continuous trust measurement, and intelligent workflows, making trusted data accessible, reliable, and actionable across the enterprise.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Remote – San Jose, Costa Rica

• Team: Reports directly to the Senior Director, AI-Ready Data Governance.
• Mission: Turn the vision of an AI-ready, agentic data governance program into a scalable, operational reality, making trusted data accessible, reliable, and actionable across the enterprise.
• Tech Stack: Databricks Lakehouse, Databricks Unity Catalog, Atlan, Claude, Claude Code, Unity AI Gateway, v-Power, Microsoft Purview

What You’ll Actually Do
• Design: Design, build, and operate Veeam’s AI-ready Data Governance and Trust Operating Process within the Governance Hub, a centralized platform for automation, monitoring, and reporting.
• Develop: Develop automated data discovery and lineage capabilities to identify authoritative data sources, critical data assets, and validate information flow to downstream analytics and AI applications.
• Implement: Build governance workflows that establish clear data ownership, business definitions, usage context, and accountability, collaborating with stakeholders to implement consistent standards.
• Measure: Design and implement continuous, AI-driven data trust scoring systems that evaluate data against quality and governance dimensions, determine Trust Tiers, and surface risks.
• Lead: Lead the technical implementation and integration of Databricks Unity Catalog and business-facing data catalog platforms such as Atlan, establishing metadata management and access controls.

The Must-Haves
• Background: Bachelor’s degree in Business, Data Science, Information Systems, a quantitative, or related technical discipline, or equivalent practical experience, with demonstrated ownership of complex, cross-functional technical initiatives.
• Experience: 6+ years of experience in data governance, data engineering, or a closely related technical field, with proven hands-on experience designing, developing, and deploying production AI agents, automated pipelines, or scripted workflows for governance activities.
• Skills: Advanced technical expertise in Databricks Unity Catalog and business-facing data catalog platforms such as Atlan, a strong understanding of AI asset governance principles, and proficiency using AI-powered development and automation tools (e.g., Claude, Claude Code) as part of daily technical workflows.
• Bonus: Direct experience with v-Power or comparable CRM extension platforms, experience leading change management initiatives for automation, familiarity with Microsoft Purview for data classification, knowledge of SOC 2 Type II audit requirements, exposure to data mesh architectures or DAMA-DMBOK frameworks.