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Manager - Data and AI Governance (Enterprise Data and Analytics)

San Antonio Water System

Role at a glance

Category: AI Governance
Work arrangement: On-site
Location: San Antonio, Texas
Salary range: $101,254 to $181,314
Posted: Jun 21, 2026

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San Antonio Water System is hiring a Manager - Data and AI Governance (Enterprise Data and Analytics) in San Antonio, Texas. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $101,254 to $181,314. Review the full details below and apply directly with San Antonio Water System.

San Antonio Water System (SAWS) is hiring a Manager of Data and AI Governance to lead its enterprise data and AI governance program, ensuring responsible management of data assets and AI systems in alignment with legal and regulatory requirements. Responsibilities include developing governance frameworks, establishing policies and standards, overseeing AI risk assessment and mitigation, supervising staff, and facilitating cross-functional governance councils. Requires a bachelor’s degree in a related field plus five years of governance-focused experience, including two years supervising personnel or leading governance

Full responsibilities and requirements are on San Antonio Water System's application page.

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About San Antonio Water System

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This role is based in San Antonio, Texas on-site. Local candidates benefit from being close to San Antonio Water System's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how San Antonio Water System would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.