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AI Governance Manager

AI Governance Manager

Eames Consulting Group
7-9 Years
  • Posted an hour ago
  • Be among the first 10 applicants

Job Description

We are seeking an experienced AI Governance Manager to lead and oversee enterprise AI governance initiatives, ensuring the responsible, ethical, and compliant deployment of AI systems across the organization.

This role will drive governance standards, risk management, regulatory compliance, and stakeholder engagement across the full AI system lifecycle, including Generative AI initiatives.

Key Responsibilities

  • Lead the implementation and oversight of AI governance frameworks, standards, and operating procedures aligned with regulatory and enterprise requirements.
  • Manage AI system lifecycle governance, including registration, risk assessments, approvals, monitoring, and recertification activities.
  • Conduct AI risk and compliance reviews covering AI ethics, data privacy, cybersecurity, and regulatory obligations.
  • Collaborate with cross-functional stakeholders to ensure AI systems meet governance, security, and operational requirements before deployment.
  • Drive AI governance awareness, reporting, policy enhancement, and engagement with internal committees and industry forums.

Key Requirements

  • Minimum 7 years of experience in AI governance, data governance, technology risk, compliance, or related domains.
  • Strong understanding of AI governance frameworks, AI ethics, data privacy, and emerging regulatory requirements.
  • Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001, OECD AI Principles, EU AI Act, MAS AIRG, and IMDA AI Governance Framework.
  • Experience working with enterprise stakeholders across technology, cybersecurity, risk, legal, and business teams.

More Info

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Key Skills

NIST AI RMF

IMDA AI Governance Framework

AI ethics

AI governance frameworks

EU AI Act

OECD AI Principles

MAS AIRG

ISO IEC 42001

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