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 and Data Engineering to translate governance requirements into scalable automated solutions that support enterprise reporting and AI adoption.

Experiment with emerging agentic AI capabilities including new automation patterns and development tools evaluating effectiveness adoption and business impact to identify opportunities for continuous improvement.

Lead complex cross-functional governance initiatives from technical design through implementation and ongoing operation balancing competing priorities and adapting solutions as business needs evolve.

Provide technical guidance and mentorship to colleagues and data stewards promoting reusable automation patterns governance best practices and the adoption of AI-enabled ways of working.

Continuously improve governance effectiveness by monitoring data trust automation performance stakeholder adoption and operational outcomes proactively recommending enhancements aligned with business priorities.

What You’ll Bring

Bachelor s degree in Business Data Science Information Systems a quantitative or related technical discipline or equivalent practical experience.

6+ years of experience in data governance data engineering or a closely related technical field with demonstrated ownership of complex cross-functional technical initiatives from design through production.

Proven hands-on experience designing developing and deploying production AI agents automated pipelines or scripted workflows that replace manual governance activities such as data quality monitoring trust scoring lineage mapping certification checks or issue detection.

Advanced technical expertise in Databricks Unity Catalog and business-facing data catalog platforms such as Atlan including practical implementation of metadata management data lineage access controls tagging ownership and governance workflows.

Strong understanding of AI asset governance principles including model registration Model Context Protocol (MCP) service governance agentic system access controls and secure AI deployment practices. Experience with Unity AI Gateway is highly desirable.

Demonstrated proficiency using AI-powered development and automation tools such as Claude Claude Code or comparable agentic platforms as part of daily technical workflows including experience helping others adopt AI-enabled solutions.

Strong understanding of modern data governance frameworks and operating models including data ownership business context data quality trust measurement certification access management and automated remediation.

Proven ability to translate ambiguous business and technical challenges into scalable production-ready solutions exercising independent judgment while aligning technical decisions with broader strategic priorities.

Excellent stakeholder management collaboration and influencing skills with the ability to work effectively across business engineering and leadership teams without formal management authority.

Strong analytical thinking technical problem-solving and organizational skills with experience prioritizing multiple initiatives managing competing requirements and delivering measurable business outcomes.

Experience mentoring colleagues establishing technical best practices and driving continuous improvement and adoption of new technologies or automated processes.

Direct experience with v-Power or comparable CRM extension platforms in Sales Operations or Revenue Intelligence environments is a plus.

Experience leading change management initiatives that transition teams from manual governance activities to automated agent-driven processes is highly desirable.

Familiarity with Microsoft Purview for data classification and sensitivity management across Azure and Microsoft 365 environments is an advantage.

Knowledge of SOC 2 Type II audit requirements particularly data processing integrity access controls and supporting evidence is a plus.

Experience working in rapidly growing private equity-backed or pre-IPO technology organizations is preferred.

Exposure to data mesh architectures data product operating models master data management (MDM) or customer and product entity resolution is beneficial.

Familiarity with DAMA-DMBOK frameworks or contributions to the broader data platform governance or AI infrastructure community is an advantage.

What You’ll Get

Comprehensive Health Coverage – Fully employer-paid medical dental and vision insurance for employees and eligible dependents including virtual care services

Wellbeing Mental Health Support – Access to an Employee Assistance Program (EAP) that includes confidential therapy sessions plus legal and financial counseling services

Financial Protection Benefits – Company-provided life and disability insurance to help support employees and their families

Paid Time Off Global Recharge Days – Vacation time statutory holidays and additional company-wide VeeaMe Days dedicated to rest wellbeing and self-care

Family-Friendly Leave Programs – Competitive maternity paternity adoption and other leave benefits that support employees through important life moments

Give Back to Your Community – Employees receive paid volunteer time each year through the Veeam Cares program

Please note The position is based in San Jose Costa Rica. If the applicant is permanently located outside of Costa Rica Veeam reserves the right to decline the application. All applications must be submitted in English.

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1;,null;;style:null;checked:null;value:null;displayValue:null;backgroundColor:null;color:null;listStyleType 1 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 a 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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