Role Overview

Lead AI Governance and Model Risk Management initiatives, helping organizations establish Responsible AI practices, manage AI risks, and comply with evolving regulatory requirements. Provide strategic advisory services for AI/ML and Generative AI adoption, governance, validation, and oversight.

Experience : 3 to 15

Key Responsibilities

- Design and implement AI Governance and Model Risk Management frameworks.
- Conduct AI/ML and Generative AI model validation and independent reviews.
- Define and implement AI risk assessment and risk tiering methodologies.
- Assess and monitor Responsible AI controls including fairness, transparency, explainability, and accountability.
- Perform model bias testing, AI risk assessments, and AI Red Teaming exercises.
- Advise clients on AI regulatory compliance and governance best practices.
- Develop AI policies, standards, controls, and governance operating models.




- Support executive stakeholders in managing AI-related risks and regulatory expectations.

Required Skills & Expertise

- AI Governance and Responsible AI
- AI Model Risk Management (MRM)
- AI/ML and Generative AI Model Validation
- AI Risk Tiering and Risk Assessment Methodologies
- Model Bias Testing and Fairness Assessment
- AI Red Teaming and Adversarial Testing
- Regulatory Compliance and AI Controls

Regulatory Knowledge

- EU AI Act
- NIST AI Risk Management Framework (AI RMF)
- ISO 42001 (preferred)
- Industry best practices for AI Governance and Model Risk Management

Preferred Background Experience in Banking, Financial Services, Insurance (BFSI), or other highly regulated industries with robust stakeholder management and consulting skills.

📌 AI Governance & AI Model Risk Management Consulting Partner (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru