Location: Remote: Eastern or Central Time Zone location preferred Employment Status: Salary Full-Time Function: Information Technology Pay Grade and Range: AFY000-P4 $112,000 - $140,000Bonus Plan: AIP Target Bonus: 15.0%Recruiter: Allison SchockReq ID: 30004 Position Summary The AI Risk and Governance Lead is responsible for establishing, implementing, and overseeing the organization's AI governance framework, ensuring artificial intelligence solutions are deployed responsibly, ethically, securely, and in compliance with applicable laws, regulations, and company policies. This role serves as the critical bridge between Legal, Enterprise Risk Management ERM, Cybersecurity, Privacy, Internal Audit, Technology, Data Science, and Business teams to ensure AI solutions align with enterprise risk tolerance and regulatory expectations. The AI Risk and Governance Lead translates emerging AI regulations, ethical principles, and risk requirements into practical, scalable guardrails that enable responsible innovation rather than create barriers to business value. The role will establish governance processes, operationalize regulatory requirements, and ensure AI risks are proactively identified, assessed, monitored, and managed throughout the AI lifecycle. Primary Responsibility Serve as the enterprise lead for AI Risk and Governance by translating evolving AI regulations, risk management frameworks, and responsible AI principles into practical governance controls, standards, and operating procedures that enable safe, compliant, and scalable AI adoption across the organization. Key Responsibilities AI Governance Strategy Develop and maintain the enterprise AI governance framework, policies, standards, and operating model. Establish governance processes across the AI lifecycle, including development, acquisition, deployment, monitoring, and retirement. Lead governance committees and facilitate executive-level discussions regarding AI opportunities, risks, and compliance obligations. Define roles, responsibilities, decision rights, and accountability mechanisms for AI oversight. Regulatory and Framework Operationalization Operationalize emerging AI regulations and industry-leading frameworks, including: EU AI Act NIST AI Risk Management Framework AI RMF Responsible AI and industry best practices Translate regulatory and ethical requirements into practical controls, standards, review processes, and implementation guidance. Monitor emerging AI legislation, regulatory developments, and enforcement activities and assess organizational impacts. Key Responsibilities Continued AI Risk Management Design and implement enterprise AI risk assessment methodologies and governance controls. Lead AI risk assessments with a particular focus on high-risk, regulated, customer-facing, and business-critical use cases. Identify, assess, mitigate, and monitor risks including: Bias and fairness risks Privacy and data protection risks Cybersecurity risks Intellectual propert
