Sr. Director, Enterprise Data Governance

The Sr. Director, Enterprise Data Governance provides enterprise-wide leadership for defining, implementing, and scaling data governance across the organization. This role is accountable for establishing data policies, standards, and operating models that ensure data is trusted, secure, compliant, and fit for advanced analytics and AI-driven use cases, including Agentic Enterprise capabilities. The role partners closely with Data Platform, Security, Privacy, Legal, Audit, and Business Domain leaders to embed governance as a core enterprise capability.* Own the development, maintenance, and enforcement of enterprise data policies and standards.* Establish and govern the Request for Change (RFC) process for policies and standards.* Partner with Security and Privacy teams to enforce data security, privacy, and regulatory requirements.* Ensure governance controls support SOX, Internal Audit, and external regulatory compliance.* Lead governance enablement for Data Mesh adoption, including domain modeling (L1, L2, subject areas), stewardship alignment, and accountability.* Drive governance-as-code requirements to enable scalable, automated enforcement.* Oversee data steward training, enablement programs, and data management maturity assessments (e.g., DCAM).* Chair or sponsor the Enterprise Data Governance Council and working groups.* Build, lead, and scale a high-performing, multi-disciplinary EDG organization.* Define clear roles, responsibilities, and career paths across governance, policy, and insights functions.* Manage resource planning, backfill justification, and budget alignment for enterprise governance priorities.* Foster a culture of accountability, collaboration, and continuous improvement.* 12+ years of experience in data governance, data management, risk management, or related enterprise data roles.* Proven experience leading large, cross-functional programs in complex enterprise environments.* Deep knowledge of data governance frameworks, policies, and regulatory requirements (e.g., SOX, privacy regulations).* Experience implementing governance operating models in modern data platforms and Data Mesh environments.* Strong executive communication and stakeholder management skills.* A related technical degree required.* Experience with industry maturity models such as DCAM.* Familiarity with governance-as-code, metadata management, and data observability concepts.* Background supporting AI, analytics, and Agent-based platforms.* Experience working in highly regulated or public-sector (e.g., FedRAMP) environments.When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr