Project Manager IT

Key Responsibilities

• Support the design, implementation, and continuous improvement of the enterprise AI governance structure.
• Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures.
• Support the operationalization of AI policies and standards across business and technical teams.
• Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement).
• Maintain AI inventories, model documentation, risk registers, and audit artifacts.
• Monitor compliance with internal AI governance standards and external regulations.
• Cook up governance forums and reviews with legal, compliance, security, and internal audit teams.
• Track AI risk metrics, incidents, and remediation actions, and prepare reports for leadership.
• Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring.
• Aid in AI policy training, awareness, and communication to drive adoption of governance practices.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field.
• Experience: 5+ years of experience in AI/ML, data science, model governance, or technology risk management. Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance).
• Technical Skills: Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities. Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). Ability to translate between technical teams and control functions.