AI Governance Manager

Eames Consulting Group; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Eames Consulting Group seeks an experienced AI Governance Manager to lead enterprise AI governance across the organization in Singapore. You will drive standards, risk management, regulatory compliance, and stakeholder engagement throughout the AI lifecycle, including Generative AI initiatives.

Responsibilities include implementing governance frameworks, risk assessments, approvals, monitoring and reporting, and collaborating with technology, risk, legal, and business teams to ensure compliant

Qualifications

• 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.
• Experience working with enterprise stakeholders across technology, cybersecurity, risk, legal, and business teams.

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.

Skills

AI governance

data governance

risk management

regulatory compliance

AI ethics

stakeholder engagement

program management

generative AI

Tools

NIST AI RMF

ISO/IEC 42001

OECD AI Principles

EU AI Act

MAS AIRG

IMDA AI Governance Framework

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.