Risk Analytics - AI Governance - Manager

EY; Pune District; In loco; INR 2.500.000 - 6.000.000; Tempo pieno

Descrizione del lavoro

EY Risk Consulting – AI Governance is expanding its practice and seeks a Manager to bridge AI technology, risk management and governance for global client engagements. You will lead complex engagements at the intersection of AI/ML and risk, advising on embedding Responsible AI across the lifecycle and testing controls.

The role requires 5+ years in risk advisory or AI risk, hands-on Responsible AI experience, and strong client relationship and leadership skills.

Competenze

• 5+ years of experience in Risk Advisory, AI Risk, Technology Risk, Internal Audit, or AI/ML roles within Big 4 or comparable environments.
• Hands-on Responsible AI implementation experience (non-negotiable)—from risk/governance or AI/ML execution perspective.
• Bachelor’s or Master’s degree in Engineering, Computer Science, Risk Management, or related field.
• Professional certifications such as AIGP, ISO 42001, CISA, CISM, CRISC, CISSP, ISO 27001, or similar are a plus.
• Strong understanding of AI systems, data pipelines, and AI deployment lifecycles.

Mansioni

• Lead and deliver AI Governance and Responsible AI engagements with high-quality outcomes within timelines and budgets.
• Advise clients on embedding Responsible AI principles across the AI lifecycle—from ideation to deployment and monitoring.
• Design, assess, and implement AI governance frameworks, policies, standards, and operating models.
• Perform use-case level risk assessments, identifying ethical, regulatory, operational, model, data, and technology risks.
• Define risk and control matrices 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 guide practical remediation solutions.
• Develop clear, actionable recommendations and executive-ready reports for senior stakeholders.

Conoscenze

AI risk management

Governance

Client relationship management

Project management

Strategic thinking

Communication skills

Problem-solving

Curiosity and learning mindset

Formazione

Bachelor's or Master's degree in Engineering, Computer Science, Risk Management, or related field

Strumenti

Python

ML tooling

Descrizione del lavoro

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.

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