AI Governance Specialist (GTA)

In A Nutshell Location Hybrid Atlanta, GA, United States Salary $74,200 Job Type Full-time Experience Level Mid-level Deadline to apply November 20, 2026 The AI Governance Specialist serves as the statewide leader for the governance, ethical oversight, and responsible adoption of artificial intelligence across Georgia state government. Reporting directly to the Chief Artificial Intelligence Officer, this position establishes and oversees the policies, frameworks, and governance processes that enable agencies to leverage AI safely, securely, ethically, and transparently. The role ensures Georgia’s AI initiatives align with the state’s commitment to public trust, responsible innovation, cybersecurity, privacy, accessibility, and human-centered government, and collaborates with agency leaders, legal counsel, cybersecurity teams, academic institutions, and industry partners to advance a leading Responsible AI program. 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. Spot any inaccurate information? Have a job to share? Let us know. #J-18808-Ljbffr datadotorg