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.
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 includi...
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.