AI Governance Analyst

Principal responsibilities will include but are not limited to:

• Support the development, implementation, and maintenance of SBA's AI governance framework, policies, standards, and procedures, ensuring alignment with federal AI policies, executive orders, OMB guidance, and applicable laws and regulations governing the use of AI in federal agencies.
• Conduct AI risk assessments and impact analyses for AI systems and initiatives across SBA, identifying potential risks related to bias, fairness, transparency, explainability, privacy, security, and civil liberties, and developing mitigation strategies and recommendations.
• Support SBA's compliance with applicable federal AI requirements, including Executive Order 13960 (Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government), Executive Order 14110 (Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence), OMB Memorandum M-24-10, and other relevant federal AI directives and guidance.
• Assist in the development and maintenance of SBA's AI inventory, ensuring all AI systems and use cases are accurately identified, documented, and reported in compliance with federal AI inventory requirements established by OMB guidance.
• Collaborate with SBA program offices, IT teams, data scientists, legal counsel, and privacy officers to embed AI governance requirements into the design, procurement, development, and deployment of AI systems and solutions throughout the AI lifecycle.
• Develop and maintain AI governance documentation, including AI use case assessments, AI impact assessments, AI risk registers, governance checklists, and AI system documentation aligned with NIST AI Risk Management Framework (AI RMF) requirements.
• Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and mitigate AI-related risks across the agency.
• Monitor and analyze developments in federal AI policy, legislation, executive orders, OMB guidance, and industry best practices, assessing their impact on SBA's AI governance program and supporting the implementation of required program updates.
• Develop and deliver AI governance awareness and training materials for SBA personnel, contractors, and leadership, promoting a strong understanding of responsible AI principles, federal AI requirements, and SBA's AI governance policies and procedures.
• Support the integration of AI governance and security requirements into SBA's NIST Risk Management Framework (RMF) and Authorization to Operate (ATO) processes, ensuring AI-specific risks and controls are appropriately documented and assessed.
• Collaborate with SBA's privacy, cybersecurity, and legal teams to address the intersection of AI governance with privacy, data protection, cybersecurity, and civil rights and civil liberties considerations.
• Conduct vendor and procurement assessments for AI tools and solutions, evaluating proposed AI systems against SBA's AI governance requirements, federal standards, and ethical AI principles.
• Support the development and implementation of AI monitoring and auditing processes to ensure deployed AI systems continue to perform as intended, remain free from significant bias or drift, and comply with applicable governance requirements over their operational lifecycle.
• Prepare and deliver reports, briefings, and presentations on AI governance program status, AI risk findings, and policy compliance updates to SBA leadership and stakeholders.
• Participate in interagency AI governance working groups, communities of practice, and knowledge sharing forums, representing SBA's interests and staying current with emerging federal AI governance trends and requirements.

• Bachelor's degree in Information Technology, Computer Science, Public Policy, Law, Data Science, Cybersecurity, or a related field from an accredited college or university.
• 5+ years of progressive experience in AI governance, technology policy, risk management, information assurance, or a closely related field, with demonstrated experience supporting AI governance or responsible…