AI Compliance Managers Career Profile

Picture this: You’re the bridge between cutting-edge AI technology and regulatory compliance, ensuring that artificial intelligence systems are not just powerful, but also responsible and lawful.

Think about a company developing a new AI-powered healthcare diagnostic tool. As an AI Compliance Manager, you ensure the system meets healthcare privacy regulations, addresses bias concerns, and maintains ethical standards while delivering innovative solutions.

This role combines technical expertise with regulatory knowledge to guide organizations through the complex landscape of AI governance. Current estimates show approximately 15,000 professionals in this emerging field across the United States (2025), with rapid growth expected as AI regulation increases.

Total employment: 403,900 (2023)

Common Names for AI Compliance Managers

• AI Ethics & Compliance Officer
• AI Governance Manager
• AI Regulatory Compliance Director
• Machine Learning Compliance Specialist
• Digital Ethics Compliance Manager
• AI Risk & Compliance Manager
• AI Policy Manager

What AI Compliance Managers Do

AI Compliance Managers ensure that AI systems and practices adhere to legal, ethical, and regulatory standards. Their core responsibilities include:

• Risk Assessment & Monitoring: Evaluates AI systems for potential compliance risks and maintains ongoing monitoring programs to ensure adherence to regulatory requirements and ethical guidelines.
• Policy Development & Implementation: Creates and maintains comprehensive AI governance policies and procedures that align with industry regulations, company standards, and ethical AI principles.
• Regulatory Compliance Management: Ensures AI systems and processes comply with relevant laws, regulations, and industry standards (such as GDPR, CCPA, and emerging AI-specific regulations) through systematic review and documentation.
• Audit & Documentation: Conducts regular audits of AI systems and maintains detailed documentation of compliance activities, decisions, and remediation efforts to demonstrate due diligence and regulatory compliance.
• Stakeholder Communication: Serves as the liaison between technical teams, legal departments, and business units to facilitate understanding of compliance requirements and ensure alignment across the organization.
• Training & Education: Develops and delivers training programs to educate staff on AI compliance requirements, ethical considerations, and best practices in AI governance.
• Incident Response & Remediation: Leads the response to compliance incidents or violations, develops remediation plans, and implements corrective actions to prevent future occurrences.