Manager - AI Governance and Risk Analytics

EY; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

EY Risk Consulting – AI Governance is a global leader in responsible AI governance. The Manager will bridge AI technology, risk management and governance for client organizations, delivering measurable outcomes and trusted guidance.

This client-facing role requires communicating complex concepts clearly and advising on governance, controls and assurance across the AI lifecycle. The opportunity emphasizes embedding Responsible AI principles, designing governance frameworks, conducting use-case

Qualifications

• 5+ years in Risk Advisory or AI/ML roles.
• Hands-on Responsible AI implementation experience.
• Bachelor’s or Master’s degree in relevant field.

Responsibilities

• Lead AI governance engagements with clients.
• Assess AI/ML risks at use-case level.
• Design AI governance policies and operating models.
• Test AI controls and perform root-cause analysis.
• Develop actionable executive reports.

Skills

AI governance

Risk management

Client advisory

Project management

Leadership

Education

Bachelor’s or Master’s in Engineering/CS/Risk Management

Tools

Python

ML concepts

AI tooling

Job description

Risk Analytics - AI Governance - Manager

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.

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.

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.