Technology Risk Manager - AI Governance

EY; Gurugram District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

EY is seeking a senior professional in AI governance and risk management to lead client engagements, develop governance frameworks, and drive responsible AI initiatives across enterprise environments.

The role requires deep knowledge of AI regulations, risk assessments, and governance reporting to senior stakeholders. Strong collaboration with cross-functional teams is essential.

Qualifications

• 8+ years of experience across AI governance, model governance, technology risk, AI risk management, data governance, responsible AI or compliance.
• Experience leading client engagements and cross-functional teams.
• Strong understanding of Responsible AI, AI governance frameworks, AI lifecycle governance and control frameworks.

Skills

AI governance

Model governance

Regulatory compliance

Stakeholder management

AI risk management

Governance metrics

Tools

Jira

Confluence

Azure DevOps

SharePoint

ServiceNow

Job description

To qualify for the role, you must have:

• 8+ years of relevant experience across AI Governance, Model Governance, Technology Risk, AI Risk Management, Data Governance, Responsible AI or Compliance, with experience leading client engagements and cross-functional teams.
• Strong understanding of Responsible AI principles, AI Governance frameworks, AI/ML lifecycle governance, AI risk management and control frameworks and their application within enterprise environments.
• Knowledge of AI regulations and standards such as ISO/IEC 42001, NIST AI RMF, EU AI Act, and GDPR to advise stakeholders on compliance.
• Experience leading AI risk assessments, governance reviews, control assessments, AI assurance, remediation and compliance reporting, including risks associated with Machine Learning, Generative AI, LLMs and Agentic AI.
• Experience with AI inventories/model registers, AI risk classification, Human-in-the-Loop controls, approval workflows, lifecycle governance and ongoing AI monitoring.
• Familiarity with cloud, AI and data platforms such as Azure AI, Azure OpenAI, Microsoft Fabric, Databricks, AWS or Google Cloud, and governance/GRC platforms used to support control monitoring and complian.
• Experience managing GRC processes, audit, compliance, change management, and release governance.
• Preferred experience in SQL and Python for analytics, control validation and governance reporting, along with tools such as Jira, Confluence, Azure DevOps, SharePoint or ServiceNow.
• Preferred experience with Generative AI Governance, LLM Governance, Agentic AI Governance and/or Model Risk Management (MRM).
• Ability to oversee development of governance metrics, dashboards, and executive reporting to support senior stakeholder decisions.
• Strong client engagement, leadership and stakeholder-management skills, with the ability to facilitate governance forums, communicate AI risks to senior stakeholders and translate technical, regulatory and risk considerations into practical governance requirements.