AI Governance Lead

Job description

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.
• Strong 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. </blockquote

Qualifications

Undergraduate