AI Ethics & Compliance Officer
Ensures AI systems meet regulatory requirements, conducts bias audits, and bridges legal, technical, and business teams on responsible AI use. In 2026, EU AI Act high-risk enforcement (August) and Singapore's tightening AI Governance Framework create dual regulatory drivers — role growing 45% YoY. No coding required; legal, policy, and compliance backgrounds are most valued.
- Salary Range
- $120K–$200K
- Hiring Companies
- Meta · Google · IBM
- Hot Regions
- European UnionSingaporeUSAU.K.Australia
- Core Skills
- AI governance · Regulatory compliance · Risk assessment
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Job Description Analysis
Core Responsibilities
- Develop your organization’s AI ethics policy and framework for responsible AI use
- Lead ethical reviews of AI systems before they go live – assessing risks of bias, transparency requirements and potential impact on vulnerable groups
- Ensure that the organization’s AI practices comply with regulatory requirements such as the EU AI Act, Singapore AI Governance Framework, etc.
- Establish an AI incident response process—a mechanism for handling when an AI system produces harmful output or bias issues
- Lead AI ethics training and awareness-raising programs within the organization
Requirements
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- Deep understanding of global AI regulations: EU AI Act, NIST AI RMF, Singapore Model AI Governance Framework
- Experience in ethics review or compliance management (3+ years) and understanding of Risk assessment methodologies
- Be able to understand the basic working principles of AI systems (no need to write code, but must be able to communicate effectively with the engineering team)
- Excellent writing and communication skills - writing policy documents, training materials and board reports
- Legal, policy or philosophical background preferred
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Nice to Have
- IAPP (International Association of Privacy Professionals) certifications such as CIPP/E
- Compliance management experience in multinational companies
- Learn about Explainable AI (XAI) technology
A Day in the Life
- Morning: Review of new AI feature ethics assessment forms submitted by product teams – a credit rating model is required to assess fairness risks
- Morning: Updated company AI usage policy—to include new terms on transparency of GenAI-generated content
- Afternoon: EU AI Act compliance training for all management - explaining high-risk system classification and obligations
- Afternoon: Handling an AI complaint - the customer reported that the AI customer service responded differently to a certain group of people in tone.
- Evening: Participate in the AI Ethics Industry Working Group to discuss emerging draft AI ethics standards
Career Transition Guide
Suitable Backgrounds
- Legal/Compliance Specialist: Experience in regulatory interpretation and compliance management is directly applicableSee this career today: Compliance Analyst
- Data Protection Officer (DPO): GDPR compliance experience is fundamental to AI ethics compliance
- Corporate Social Responsibility (CSR) Management: Transferable Responsible Practice Experience
- Academic researcher (ethics/science and technology policy): strong theoretical foundation, supplemented by practical experience
Transition Path
- Step 1: Systematically study the EU AI Act, NIST AI RMF and Singapore AI Governance Framework
- Step 2: Understand the basics of AI technology - Prompt Engineering courses are the best way to get started
- Step 3: Obtain IAPP-related certification (CIPP/E or AI Governance certification)
- Step 4: Proactively drive the development of norms for the use of AI in your current organization
- Step 5: Apply for an AI Ethics / AI Governance position at a technology company or consulting firm
Learning Roadmap
Phase 1: Regulations and Framework (January-February)
Phase 2: AI Cognition + Review Methodology (February-April)
Phase 3: Practice and Certification (April-June)
Common Mistakes
Treat AI ethics as a purely theoretical discussion and do not implement it into specific policies and procedures.
Ethics must be translated into actionable policies, checklists and incident response processes
Try to block all risky AI uses
The role of an AI ethics officer is to manage risk rather than eliminate it—helping the business innovate within safe boundaries
Conduct ethical review without understanding AI technology
You must understand at least the basic principles of how AI works, otherwise you cannot effectively assess risks
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