Location: Chennai, Hyderabad, Kochi, Bangalore
- Define AI governance framework covering AI inventory, ownership, business purpose, risk classification, approved data access, permitted tools, oversight level, lifecycle status, recertification, and retirement.
- Establish governance workflows for AI intake, design review, security/privacy assessment, risk review, testing/evaluation, approval, deployment, monitoring, recertification, change control, and retirement.
- Define human oversight controls for high-risk actions affecting access controls, certified metrics, semantic definitions, privacy classifications, data quality rules, compliance evidence, production cutover, and architecture exceptions.
- 8+ years of experience in AI governance, data governance, risk, compliance, model risk management, responsible AI, AI assurance,



or technology control functions.
- Solid understanding of responsible AI principles, explainability, bias/fairness, human oversight, auditability, model lifecycle governance, AI risk classification, and AI control frameworks.
- Experience with GCP AI/ML capabilities such as Vertex AI, Model Registry, Model Monitoring, Feature Store, BigQuery ML, prompt/agent patterns, RAG pipelines, and evaluation tooling.
- Location
- Chennai
- Job Function
- TECHNOLOGY
- Role
- Developer
- Job Id
- 420246
- Desired Skills
- Artificial Intelligence | Risk & Compliance | Master Data Governanace

Qualifications : Undergraduate

📌 Ai Governance Lead (Chennai)
🏢 Tata Consultancy Services
📍 Chennai