<p>Kforce's client is seeking a Senior IT Risk & Compliance Analyst to support the implementation and maturation of its AI Governance program, including the responsible internal adoption of agentic AI. This contractor will work cross-functionally with Legal, Privacy, Risk, IT, and the AI Governance Council to ensure safe, compliant, and well-documented AI development and deployment across the organization.</p> <p>Responsibilities:</p> <ul> <li>AI Use Case Vetting & Documentation: Manage intake, review, and approval processes for AI use cases; Maintain the AI Registry and coordinate council review activities </li><li>Stakeholder Coordination & Communication: Collaborate with business owners and suppliers to document model architecture, data sources, metrics, and disclosures; Establish feedback loops on governance initiatives, standards, and program metrics </li><li>Program Implementation & Maturation: Support implementation of AI Governance workflows, including incident response and agentic AI oversight; Assist in developing governance frameworks, requirements, and processes </li><li>Security & Risk Assessment Support: Partner with AppSec and Risk teams to apply frameworks such as OWASP for LLMs, participate in red teaming, and document security assessments </li><li>Training & Literacy: Contribute to role-based training materials and internal AI literacy efforts </li><li>Regulatory Monitoring & Compliance: Track emerging AI regulations and assist with mapping requirements into governance processes* Experience in AI governance, data privacy, compliance, or risk management </li><li>Strong documentation and project coordination/project management skills </li><li>Ability to work cross-functionally with technical and non-technical teams </li><li>Strong communication skills and an ability to bridge regulatory and technical perspectives </li><li>Experience collaborating with legal teams or working with legal frameworks </li><li>Familiarity with or strong interest in AI/ML technologies and their ethical, legal, and operational considerations </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Advanced degree or experience in law, computer science, or related fields; law firm experience a plus </li><li>Certifications such as CIPP/US, CISM, or CIPM </li><li>Knowledge of frameworks such as NIST AI RMF, ISO 42001, EU AI Act, or US privacy/security laws </li><li>Experience with red teaming, risk assessments, or security governance </li><li>Understanding of AI model lifecycle management and auditability </li></ul>