Director of Data Governance & AI Governance

We are seeking a strategic technology leader to help shape how an enterprise organization manages, governs, and activates data while expanding the responsible use of Artificial Intelligence.

This is not a hands-on AI development role. The focus is on Data Management, Data Governance, AI Governance, leadership, and enterprise strategy. The ideal candidate understands how strong data practices create the foundation for AI, analytics, and better business decisions.

Compensation: $170,000-200,000 Annually - Competitive Director-level compensation based on experience, leadership background, and overall fit.

Candidates must be authorized to work in the United States without current or future sponsorship.

What You’ll Do

• Lead and develop a team responsible for Data Management, Data Governance, and AI Governance.
• Build and mature governance practices that support responsible adoption of Generative AI and emerging AI capabilities.
• Help establish standards for AI risk, oversight, monitoring, evaluation, and ongoing governance.
• Improve enterprise data quality, accessibility, cataloging, metadata, and overall usability.
• Identify opportunities to break down data silos and make enterprise data more actionable.
• Partner with technology, business, security, risk, compliance, and audit teams.
• Translate emerging AI and data risks into practical, scalable controls and processes.
• Help ensure governance enables innovation rather than slowing it down.
• Drive execution of strategic data and AI initiatives across the organization.
• Communicate effectively with senior technology and business leadership.

• Strong experience in Data Management and/or Data Governance.
• Technology leadership experience with responsibility for teams, strategy, or enterprise initiatives.
• Understanding of Generative AI, AI governance, and the risks associated with emerging AI technologies.
• Ability to think strategically about data as a business asset.
• Experience working within a regulated or complex enterprise environment.
• Strong executive communication and cross-functional collaboration skills.
• Demonstrated ability to turn strategy into measurable execution.
• Comfortable working in an evolving environment where standards and technologies are changing quickly.

Helpful, But Not Required

• Financial services or other regulated-industry experience.
• Experience with Snowflake, Informatica, enterprise data catalogs, or similar platforms.
• Familiarity with AI governance frameworks such as NIST.
• Experience working with GRC, model-risk, or Responsible AI programs.
• Understanding of SDLC and enterprise software-development practices.

Deep software engineering or hands-on AI development experience is not required.

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance