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EY Risk Consulting seeks a Manager for AI Governance to bridge risk management and AI deployment for global clients. You will lead engagements, design governance, assess AI risks, and guide remediation with a strong client-focus and practical outcomes.
The role emphasizes Responsible AI, regulatory awareness, and hands-on experience in AI lifecycles, with opportunities to mentor teams and contribute to market solutions.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Your next adventure awaits. Are you a technology‑savvy risk professional passionate about Responsible AI and eager to help organizations embed trust, ethics, and governance into their AI journeys? EY Risk Consulting is expanding its AI Governance and Responsible AI practice, and we are looking for a manager who can bridge AI technology, risk management, and governance to create meaningful impact for our clients. In this client‑facing role, you will work with global organizations to operationalize Responsible AI, design and assess AI governance frameworks, evaluate AI/ML risks at a use‑case level, and test the effectiveness of controls. You will help clients move from high‑level AI principles to real, on‑the‑ground implementation, backed by robust risk assessments, root cause analysis, and actionable recommendations.
As a Manager within Risk Consulting – AI Governance, you will lead complex engagements at the intersection of risk management, AI/ML, and Responsible AI. You will advise clients on how AI principles (fairness, transparency, accountability, safety, robustness, privacy) are embedded across the AI lifecycle and how governance, controls, and assurance mechanisms are established and tested. This role is ideal for professionals who either: Bring strong Risk Management experience with Responsible AI, OR Have hands‑on AI/ML experience with Responsible AI operationalization, including root cause analysis and solutioning.
You must have 5+ years of experience in Risk Advisory, AI Risk, Technology Risk, Internal Audit, or AI/ML roles within Big 4 or comparable consulting/technology environments. Hands‑on Responsible AI implementation experience (non‑negotiable)—either from a risk/governance or AI/ML execution perspective.
Bachelor’s or Master’s degree in Engineering, Computer Science, Risk Management, or a related field. Good to have Professional certifications such as AIGP, ISO 42001, CISA, CISM, CRISC, CISSP, ISO 27001, or similar. Working knowledge of Python, ML concepts, or AI tooling to assess implementations effectively.
Professionals who combine risk acumen, technology depth, and business mindset. Leaders who can engage confidently with clients and inspire teams. Individuals who are proactive, hands‑on, and excited by the evolving AI landscape.
EY | Building a better working world EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.