Senior Director, AI-Ready Data Governance

Role Overview

• Own and evolve enterprise data governance to ensure data is reliable, explainable, and fit for AI consumption, not just analytics or reporting.
• Establish clear standards for data definitions, ownership, quality, lineage, and access across core domains (e.g., Account, Customer, Product, ARR, Employee).
• Define and enforce clear data quality thresholds required before data can be used by AI systems, including accuracy, completeness, timeliness, and consistency.
• Create explicit “AI-approved” vs. “not AI-ready” data classifications to remove ambiguity for AI and internal AI product teams.
• Certify authoritative datasets, metrics, and definitions that AI agents, models, and analytics must use.
• Actively reduce duplicate, unofficial, or unmanaged datasets that lead to conflicting answers, model drift, and loss of trust.
• Extend data governance beyond tables and dashboards to AI agents, features, and models, ensuring clarity on what data they use, how it is transformed, and where accountability sits.
• Maintain end-to-end data lineage from source systems through transformations to AI outputs.
• Work closely with Data Science, AI, and Sales AI teams to embed governance into AI design and delivery, rather than bolting it on after the fact.
• Serve as the primary data governance partner to Security, Legal, Privacy, and Risk, ensuring AI data usage aligns with regulatory, contractual, and customer commitments.
• Treat AI data inputs as living assets, continuously monitoring for drift, degradation, misuse, or changing business context as AI adoption scales.

Requirements

• Proven experience leading data governance, data management, or data platform initiatives in a SaaS or enterprise environment
• Strong understanding of how data supports AI/ML systems and data-driven decision-making
• Experience building and scaling enterprise data governance frameworks
• Solid foundation in data quality, lineage, and metadata management
• Ability to balance strategic vision with hands-on execution
• Experience working cross-functionally with both technical and business stakeholders
• Strong communication and leadership skills, with the ability to influence at all levels of the organization

Benefits

• Unlimited paid time off, 12 paid holidays, plus 4 extra 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