AI Risk And Governance Workstream Lead Support Role
Ernst Young · Gurugram · onsite · Posted 44d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
AI Risk and Governance Workstream Lead Support Role Job Summary
This is an exciting opportunity to join the GDS RMS Innovation Risk function in Gurgaon as an Assistant Director/Manager supporting AI Risk and Governance workstreams. You will assist in translating Responsible AI policy content, regulatory expectations and control requirements into practical governance activities that support the responsible use, purchase, development, deployment and monitoring of AI tools and systems across EY.
Your responsibilities - Support the workstream lead in planning and delivering assigned AI Risk and Governance workstreams, while maintaining clear visibility of milestones, dependencies, risks and upcoming decisions.
- Coordinate cross-functional reviews involving Global Risk Management, Service Lines, EY Technology, Global Functions, Regions and enabling teams such as Legal/GCO, Data Protection, Information Security, Procurement/Supply Chain and Quality.
- Prepare, review and maintain workstream drafts, guidance, control requirements, templates, action trackers, decision logs and other governance artefacts for review and approval.
- Assist in developing practical implementation plans for new or updated AI guidance and controls, and support communication and adoption across service lines, functions and geographies.
- Support activities across the AI governance lifecycle, including intake, risk assessment, QRM review, validation, release or go-live conditions, evidence readiness and post-deployment monitoring.
- Prepare materials for AI governance forums and leadership reporting, including status updates, decision papers, metrics, risk summaries, meeting notes and follow-up trackers.
- Help assess whether AI systems and tools built, bought, deployed or used by EY align with Responsible AI principles and relevant data protection, information security, third-party risk and quality expectations.
- Conduct research on emerging regulatory expectations, market developments and Responsible AI practices, and summarize potential implications for workstream activities and stakeholder guidance.
- Support in developing and maintaining enablement materials such as playbooks, checklists, FAQs and templates to help teams apply governance requirements.
- Working knowledge of AI risk, Responsible AI principles, AI governance processes and the AI system lifecycle.
- Understanding of data protection, information security, third-party AI risk, evidence management, issue tracking and governance reporting.
- Familiarity with AI risk assessments, control frameworks, system or model documentation, evidence packs and audit-readiness expectations.
- Exposure to AI regulatory expectations, including the EU AI Act or similar governance frameworks.
- Strong drafting and documentation capability, including preparation of guidance, templates, decision notes, status updates, metrics and review observations.
- Proficient in using digital tools such as generative AI platforms, Microsoft Excel and PowerPoint for research, analysis, reporting and presentations.
- Strong analytical and problem-solving skills, with the ability to identify gaps, clarify requirements, assess implications and propose practical next steps.
- Ability to manage multiple activities, deadlines and provide timely progress updates to the leadership and stakeholders.
- Effective stakeholder management and relationship-building skills, with the confidence to work with business owners, technology owners and risk or compliance subject-matter professionals.
- Clear written and verbal communication skills, with the ability to present complex topics in a concise, practical and audience-appropriate manner.
- Ability to work through ambiguity, respond to evolving requirements and exercise sound judgment while seeking guidance on material or sensitive matters.
- Collaborative and service-oriented approach, with attention to detail, accountability and action closure.
- Post Graduate degree or equivalent professional qualification in risk management, governance, compliance, technology, information systems, business or a related field.
- Approx. 10 years of relevant experience in risk management, governance, compliance, technology risk, Responsible AI, or related areas.
- Experience with AI, data, privacy or emerging technology regulation and responsible innovation practices is preferred.
- Experience working with Risk Management, technical SMEs and cross-geography stakeholders.
- Working in a Risk Management domain is an advantage.
- Project/program management, risk, compliance or legal certifications are a plus.
- Strong drafting, research, communication and Microsoft Office skills.
- Someone who wants to grow into a AI and Risk governance role at EY and develop future-focused skills in AI regulation and responsible innovation.
- A professional who can combine regulatory judgment with practical, adoptable guidance and collaborative stakeholder engagement.
- A passion to learn and contribute to the responsible and ethical procurement, development, deployment and use of AI and emerging technologies across EY.
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Skills
ai regulationlead supportmicrosoft officedata protectionglobal deliveryai governanceCapital MarketsEmerging TechnologiesdeploymentAI ToolsCommunication SkillsInformation SecurityLegalcomplianceGenerative AiGDSArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
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