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Área Metropolitana de San José, Costa Rica
Remote only
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.
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.
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, 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.
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.
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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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.