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Ai Risk Management Administrator

United States, Dublin · Job Posted June 09, 2026
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Job Responsibility

  • 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

Requirements

  • 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

What we offer

  • medical, vision, dental, and life and disability insurance
  • 401(k) plan

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