The opportunity

:

We’re looking for professionals who have at least 4 years or more of experience. You will collaborate closely with cross functional teams to address issues, to deliver seamless support to clients. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a recent service offering.

Skills and Summary of Accountabilities:

- Exposure working in client facing roles, collaborate with cross functional teams including internal audits, IT security and business stakeholders to assess control effectiveness and facilitate remediation activities.
- Design, assess, and advise on enterprise AI governance frameworks, policies, standards, and controls.
- Support AI assurance, audit, and compliance reviews through governance evidence, control assessments, and risk mitigation activities.
- Preferred knowledge/understanding of experience in IT Controls, Risk and Compliance.
- Design IT Risk Controls framework such as IT SOX.
- Testing of internal controls such as IT general controls, IT application controls, IPE related controls, interface controls etc.
- Perform AI governance reviews, control assessments, and compliance evaluations against established frameworks, policies, and regulatory requirements
- Conduct AI risk assessments covering bias, fairness, explainability, privacy, security, model risk, hallucinations, and regulatory compliance.
- Maintain AI inventories, model registers, risk classifications, and governance documentation to ensure transparency and accountability.
- Collaborate with Data Science, Engineering, Legal, Risk, Compliance, Cybersecurity, and business teams to assess governance compliance, review controls, and provide independent oversight across AI development and deployment processes.
- Monitor AI risk indicators, model performance, control effectiveness, and compliance metrics, providing governance reporting and executive dashboards.




- Assess and evaluate Data Governance, Data Quality, Metadata Management, Data Lineage, and Model Governance controls to support AI governance and risk management objectives
- Promote ethical AI adoption by ensuring fairness, transparency, accountability, privacy, and security are integrated into AI solutions.
- Assess the design and operating effectiveness of governance controls, Human-in-the-Loop (HITL) controls, approval workflows, and lifecycle governance checkpoints for Machine Learning, Generative AI, LLM, and Agentic AI solutions

To qualify for the role, you must have:

- 4+ years of experience in AI Governance, Model Governance, Technology Risk, AI Risk Management, Data Governance, or Compliance.
- Experience in ITGC, ITAC, SOX, Technology Risk, Internal Audit, Risk & Compliance, or GRC engagements is preferred.
- Strong understanding of Responsible AI principles, AI governance frameworks, and AI/ML lifecycle governance.
- Knowledge of AI regulations and standards such as ISO 42001, NIST AI RMF, EU AI Act, and GDPR.
- Experience performing AI risk assessments, governance reviews, control evaluations, and compliance reporting.
- Understanding of Machine Learning, Generative AI, Agentic AI, and associated governance risks.
- Familiarity with AI and cloud platforms such as Azure AI, Azure OpenAI, Databricks, Microsoft Fabric, AWS, or Google Cloud from a governance, risk, compliance, or controls perspective
- Proficiency with collaboration and governance tools such as Jira, Confluence, Azure Dev Ops, Share Point, and Service Now.

Ideally, You'll Also Have:

- Bachelor’s degree in computer science, Information Systems, Data Science, Risk Management, Cybersecurity, or related disciplines.
- Relevant certifications are considered a plus
- Strong analytical and problem-solving skills.
- Excellent stakeholder management and communication skills.
- Ability to work collaboratively in cross-functional teams within a fast-paced environment.

EY | Building a better working world

📌 Technology Risk Senior - AI Governance (India)
🏢 EY
📍 India