Koniag Data Government, a Koniag Government Services company, is seeking an experienced AI Governance Analyst to support the U.S. Small Business Administration (SBA). The ideal candidate is a knowledgeable and forward-thinking professional with expertise in artificial intelligence governance, policy development, and risk management within federal government environments. This individual will play a critical role in supporting SBA's responsible adoption and use of artificial intelligence technologies, ensuring that AI systems and initiatives align with federal AI policies, ethical principles, and applicable laws and regulations. The AI Governance Analyst will serve as a key contributor to SBA's AI governance program, supporting the development, implementation, and management of AI governance frameworks, policies, and processes that ensure the responsible, ethical, and compliant use of AI technologies across the agency. 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. Education and Experience: Required: - 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 AI initiatives. - Demonstrated knowledge of federal AI policies, executive orders, and guidance, including OMB Memorandum M-24-10, Executive Order 14110, and NIST AI RMF 1.0. - Experience working within or supporting federal government agencies on technology governance, risk management, or compliance programs. - One or more of the following certifications or equivalent: - Certified Information Systems Security Professional (CISSP) - Certified Information Privacy Professional/Government (CIPP/G) - NIST AI RMF credentials or equivalent AI governance training and certification - Project Management Professional (PMP) or equivalent - Certified in Risk and Information Systems Control (CRISC) Desired: - Master's degree in Artificial Intelligence, Data Science, Public Policy, Law, Cybersecurity, Information Management, or a related field. - 7+ years of experience in AI governance, technology policy, or risk management, with a strong background supporting federal civilian agency AI programs. - Experience with AI/ML model development, data science methodologies, or AI system engineering, providing technical grounding for governance and risk assessment activities. Required Skills and Competencies: - Exceptional communication skills in English - both written and oral - with the ability to clearly explain complex AI governance concepts, risk findings, and policy requirements to diverse audiences, including technical staff, program managers, legal counsel, and senior agency leadership. - Strong knowledge of federal AI governance requirements and frameworks, including Executive Order 14110, OMB Memorandum M-24-10, the NIST AI Risk Management Framework (AI RMF 1.0), and NIST AI standards and guidelines. - Demonstrated understanding of AI and machine learning concepts, including supervised and unsupervised learning, natural language processing, computer vision, large language models (LLMs), and generative AI, sufficient to effectively assess AI governance and risk considerations. - Experience conducting AI risk assessments and impact analyses, identifying risks related to algorithmic bias, fairness, transparency, explainability, privacy, security, and civil liberties, and developing practical risk mitigation strategies - Knowledge of responsible AI principles, including fairness, accountability, transparency, explainability, safety, and reliability, and their application within federal agency AI governance programs. - Familiarity with federal privacy laws and regulations, including the Privacy Act of 1974, OMB Circular A-130, and NIST SP 800-122, and their intersection with AI data collection, processing, and use - Experience developing and maintaining governance documentation, including policy documents, risk registers, assessment reports, and compliance checklists. - Understanding of the federal procurement and acquisition process and experience evaluating AI tools and solutions against governance, security, and ethical AI requirements - Knowledge of cybersecurity frameworks and their relationship to AI system security, including NIST SP 800-53 controls applicable to AI systems and the integration of AI governance into the RMF and ATO processes - Strong analytical and critical thinking skills, with the ability to assess complex AI governance challenges, interpret evolving federal policy requirements, and develop practical, actionable recommendations. - Ability to collaborate effectively with cross-functional teams, including IT, data science, legal, privacy, and program office stakeholders, to integrate AI governance requirements into agency operations. - Strong organizational and program management skills, with the ability to manage multiple concurrent priorities and deliver high-quality work products under tight deadlines. - Ability to obtain and maintain a Public Trust Clearance. Desired Skills and Competencies: - Prior experience supporting SBA or other federal civilian agency AI governance or responsible AI programs. - Hands-on experience with AI/ML model development, training, and evaluation, including familiarity with common AI/ML frameworks and platforms such as TensorFlow, PyTorch, Scikit-learn, or equivalent. - Experience with AI bias detection and mitigation tools and methodologies, including fairness metrics, bias auditing frameworks, and algorithmic impact assessment techniques. - Familiarity with generative AI and large language model (LLM) governance considerations, including prompt engineering risks, hallucination, data poisoning, model inversion, and related security and trustworthiness challenges. - Knowledge of AI explainability and interpretability techniques, including SHAP, LIME, and other model explanation methodologies, and their application in federal AI governance and accountability requirements. - Experience with AI system monitoring and auditing tools and techniques, including model performance monitoring, drift detection, and automated compliance checking. - Familiarity with international AI governance frameworks and standards, including the EU AI Act, ISO/IEC 42001, and IEEE standards for AI ethics and governance, and their potential implications for federal agency AI programs. - Experience supporting federal agency responses to congressional inquiries, inspector general (IG) reviews, or GAO assessments related to AI or emerging technology governance. - Knowledge of data governance principles and their intersection with AI governance, including data quality management, data lineage, and metadata management as they relate to AI system inputs and outputs. - Familiarity with cloud-based AI and machine learning platforms, including AWS SageMaker, Azure Machine Learning, and Google Vertex AI, and the governance considerations associated with cloud-hosted AI solutions. - Experience with algorithmic auditing, third-party AI system assessments, and the development of AI procurement evaluation criteria and contractual AI governance requirements. - Certified Ethical Emerging Technologist (CEET) or equivalent AI ethics and governance certification.