Education and Training Requirements for an AI risk manager

Is becoming an AI risk manager right for me?

The first step to choosing a career is to make sure you are actually willing to commit to pursuing the career. You don’t want to waste your time doing something you don’t want to do. If you’re new here, you should read about:

Overview
What do AI risk managers do?

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How to become an AI Risk Manager

Aspiring AI risk managers usually follow a path that combines education, technical skills, and real-world experience. Here are the key steps many people take to enter this field:

  • Formal Education: Most employers look for a Bachelor’s Degree in Computer Science, Data Science, Philosophy, Ethics), or Business Administration. This helps build a basic understanding of both how technology works and how organizations make decisions.
  • Develop Technical Literacy: You don’t need to be a full software engineer, but you do need to understand the basics of how AI systems work. Learning some Python, data analysis, or machine learning fundamentals helps you communicate better with technical teams and understand what you’re reviewing.
  • Learn Risk Frameworks: It’s helpful to get familiar with industry guidelines like the NIST AI Risk Management Framework or ISO 42001. These act like rulebooks that show how companies should safely design and manage AI systems.
  • Gain Practical Experience: Entry-level roles in areas like cybersecurity, data privacy, compliance, or risk management are a great starting point. Internships or junior roles can also help you see how real companies handle technology risks day to day.
  • Pursue Certifications: Certifications can help you stand out and show you understand AI governance and risk. They’re especially useful if you’re switching into the field or want to specialize further.
  • Build a Professional Network: Joining groups like the International Association of Privacy Professionals (IAPP) or attending AI and tech conferences can help you meet people in the field. Networking also helps you stay updated on new trends and job opportunities.

Certifications
Certifications help confirm your knowledge of AI risk and governance. Here are some common ones:

  • AIGP (AI Governance Professional): A certification from IAPP that focuses on how to manage and oversee AI systems responsibly, including ethics and governance.
  • ISO/IEC 42001 Lead Auditor: Focuses on auditing AI management systems to make sure they meet international standards for safety and quality.
  • AAIR (Advanced in AI Risk): Offered by ISACA, this is aimed at professionals who want to focus on the technical side of AI risk, especially in IT and cybersecurity.
  • Certified AI GRC Professional: Covers governance, risk, and compliance in AI systems, helping you understand both the legal and operational side of the role.
  • PECB Certified Lead AI Risk Manager: Teaches a structured approach to identifying and managing AI risks based on global standards.