AI Governance Specialist (GTA)

Responsibilities

AI Governance

• Develop and maintain Georgia’s enterprise AI governance framework.
• Lead statewide AI policy, standards, and implementation guidance.
• Establish governance processes for evaluating and approving AI technologies.
• Chair or facilitate Responsible AI governance committees and review boards.

Responsible AI & Ethics

• Lead the development and evolution of Georgia’s Responsible AI Framework.
• Oversee AI ethics reviews and impact assessments for enterprise AI initiatives.
• Ensure AI systems promote fairness, accountability, transparency, explainability, and human oversight.
• Develop methodologies for identifying and mitigating bias and unintended consequences.

Risk, Compliance & Assurance

• Oversee enterprise AI risk management.
• Develop AI assurance and audit processes.
• Align governance with applicable laws, regulations, executive directives, NIST AI Risk Management Framework, and other emerging standards.
• Coordinate with Legal, Cybersecurity, Privacy, Procurement, and Enterprise Risk Management teams.

Support

• Perform all other duties as assigned.

Skillset

CORE COMPETENCIES

• AI Governance & Responsible AI – Applies governance principles and Responsible AI practices to support the safe, ethical, transparent, and accountable use of artificial intelligence.
• Risk Management & Compliance – Identifies, assesses, and mitigates AI-related risks while aligning governance practices with applicable laws, regulations, policies, and standards.
• Policy & Standards Development – Develops and maintains clear AI policies, standards, procedures, and implementation guidance.
• Ethical Decision-Making – Evaluates AI use cases for fairness, transparency, explainability, accountability, bias, and appropriate human oversight.
• Enterprise Governance – Establishes and supports governance structures, review processes, committees, and decision frameworks for enterprise AI initiatives.
• Cross-Functional Collaboration – Works effectively with Legal, Cybersecurity, Privacy, Procurement, Enterprise Risk, technology teams, and agency stakeholders.
• Strategic Thinking – Connects AI governance activities to broader organizational priorities, public-sector objectives, and long-term enterprise strategy.
• Stakeholder Engagement & Influence – Builds consensus among executive, technical, operational, and policy stakeholders on complex or emerging AI issues.
• Analytical & Systems Thinking – Evaluates interconnected technical, operational, policy, ethical, and organizational impacts of AI solutions.
• Communication & Executive Presentation – Communicates complex AI governance and risk concepts clearly through policies, briefings, recommendations, and presentations.
• Change Leadership – Supports organizational adoption of new AI governance requirements, standards, and responsible-use practices.
• Continuous Learning & Regulatory Awareness – Maintains current knowledge of emerging AI technologies, governance frameworks, standards, regulations, and industry practices.

AGENCY SPECIFIC QUALIFICATIONS:

Minimum Qualifications (Education/Experience): 

• Bachelor’s degree in Public Administration, Computer Science, Information Systems, Law, Ethics, Data Science, or a related field AND Five (5) years’ experience in technology governance, artificial intelligence, enterprise risk management, information security, privacy, compliance, digital policy, data governance, or a related discipline with demonstrated experience in the following areas:

• Experience developing, implementing, or administering enterprise governance frameworks, policies, standards, controls, or risk-management programs.
• Demonstrated experience assessing technology-related risks and translating regulatory, policy, ethical, or operational requirements into practical governance controls.
• Experience leading or supporting cross-functional initiatives involving technology, legal, cybersecurity, privacy, procurement, compliance, risk management, and business stakeholders.
• Working knowledge of artificial intelligence concepts, AI lifecycle risks, Responsible AI principles, cybersecurity, privacy, data governance, and enterprise risk management.
• Strong written and verbal communication skills, including the ability to develop policies, standards, executive briefings, risk assessments, and governance recommendations.

• NOTE: An equivalent combination of education and job-specific experience may be substituted on a year-over-year basis.

Preferred Qualifications: (Preference will be given to candidates who demonstrate some or all the following skills/experience):

• Master’s degree in Public Policy, Public Administration, Information Technology, Cybersecurity, Data Science, Law, Business Administration, or related field.

• Experience working in state, federal, or other public-sector environments.
• Experience developing or implementing AI governance, Responsible AI, technology governance, digital governance, or enterprise risk-management programs.
• Knowledge of the NIST AI Risk Management Framework (AI RMF), ISO/IEC AI standards, Responsible AI frameworks, or comparable governance methodologies.
• Experience conducting or supporting AI risk assessments, impact assessments, model governance reviews, compliance assessments, or technology audits.
• Knowledge of AI-related considerations involving fairness, transparency, explainability, accountability, human oversight, privacy, security, accessibility, and bias mitigation.
• Experience facilitating governance committees, advisory councils, review boards, or other enterprise decision-making forums.
• Experience interpreting laws, regulations, executive directives, policies, or emerging technology standards and translating them into operational requirements.
• Professional certifications or formal training in areas such as AI governance, privacy, cybersecurity, risk management, compliance, audit, data governance, or project/change management.