Risk Analytics - AI Governance - Manager
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.
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Risk Consulting - AI Governance - Manager
The opportunity: 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.
The role
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.
Your key responsibilities
Client Advisory & Delivery
- Lead and deliver AI Governance and Responsible AI engagements, ensuring high-quality outcomes within timelines and budgets.
- Advise clients on embedding Responsible AI principles across the AI lifecycle-from ideation and design to deployment and monitoring.
- Design, assess, and implement AI governance frameworks, policies, standards, and operating models.
- Perform AI use-case-level risk assessments, identifying ethical, regulatory, operational, model, data, and technology risks.
- Define risk and control matrices (RCMs) for AI/ML systems aligned to leading frameworks and regulations.
- Test the design and operating effectiveness of AI controls, including governance, model risk, data, security, and monitoring controls.
- Conduct root cause analysis for AI-related issues and incidents and guide clients on practical remediation solutions.
- Develop clear, actionable recommendations and executive-ready reports for senior stakeholders.
Responsible AI & Technology
- Support clients in operationalizing Responsible AI beyond principles-into processes, controls, tools, and metrics.
- Assess AI/ML systems including traditional ML and Generative AI / Agentic AI applications.
- Guide clients on model risk management, human-in-the-loop controls, explainability, bias mitigation, and monitoring.
- Stay current on evolving AI regulations, standards, and best practices (e.g., EU AI Act, ISO 42001, NIST AI RMF, OECD).
Stakeholder & Team Leadership
- Manage day-to-day client relationships and act as a trusted advisor to senior client stakeholders.
- Lead, mentor, and develop team members; review work products and provide constructive feedback.
- Actively contribute to practice growth, solution development, thought leadership, and go-to-market initiatives.
Skills and attributes for success
- Strong understanding of AI risks, Responsible AI principles, and AI governance.
- Ability to translate complex AI concepts into practical risk and control solutions.
- Experience performing use-case-driven risk assessments and control testing.
- Excellent client relationship management and stakeholder engagement skills.
- Clear, concise, and confident written and verbal communication.
- Strong project management skills, including planning, tracking, and risk management.
- Curious, technology-enthusiastic mindset with a passion for continuous learning.
- Structured thinking, problem-solving ability, and attention to detail.
To qualify for the role, 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.
- Proven experience in one or more of the following:
- AI Risk Management & Governance
- Responsible AI operationalization
- AI/ML model risk assessments
- Root cause analysis and remediation design
- Strong understanding of AI systems, data pipelines, and AI deployment lifecycles.
- 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.
What we look for
- 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.
What working at EY offers
- Exposure to market-leading AI governance and Responsible AI engagements.
- An environment focused on learning, coaching, and career progression.
- Opportunities to work with global clients and cutting-edge AI use cases.
- Flexibility, collaboration, and a culture built on trust and inclusion.
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