Job Title: Project Manager IT JOB RESPONSIBILITIES Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks. Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs. Bridge governance strategy and execution by supporting 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 (e.g., model cards, data lineage, controls evidence). Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements). Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations. Track AI risk metrics, incidents, and remediation actions; prepare reports for leadership, risk committees, and regulators. Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring. Assist with AI policy training, awareness, and communication to drive adoption of governance practices across the organization. Contribute to the maturation of AI governance capabilities, including tooling, automation, and integration into enterprise risk and technology processes What Will This Person Be Working On The AI Risk Management Administrator is responsible for supporting both the establishment and ongoing operation of the enterprise AI governance and risk management framework. This role plays a key part in defining, implementing, and maturing AI governance structures while ensuring AI systems are developed, deployed, and operated in alignment with regulatory requirements, ethical standards, internal policies, and the organization’s risk appetite. The Administrator partners with business, IT, legal, security, and compliance teams to operationalize governance, monitor AI risks, maintain documentation, and enable responsible and scalable AI practices across the enterprise WANTS Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. 5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk). Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance). 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 (data science/engineering) and control functions (risk, legal, compliance). Strong analytical, problem-solving, and stakeholder management skills. Summarizing project status to project stakeholders Manage project resources across multiple projects or project phases Present project information to project team Communicate project status to project team Facilitating project status meetings and communicating project status to key project stakeholders Resolve project issues and manage project risks Manage project budget and project resource allocation Manage project timelines using accepted project management methodology Serve as project lead on projects with multiple project management staff Meet project objectives while managing project hours Validating project budget against estimated project costs Manage project artifacts for the project Prepare project plans, manage and track project execution activities for project teams Achieve project objectives across the project portfolio Monitor project execution/performance, project reporting and project resource allocations Create project briefs and project schedules Support defined project plans and project goals Updating internal project management system Complete project deliverables in accordance with project plan Lead the project team to ensure project objectives
