AI Governance & Model Risk Management Lead

Hiring: AI Governance & Model Risk Management Lead
📍 Location: PAN India
💼 Experience: 15–25 Years
🏢 Organization: Tata Consultancy Services (TCS)
Role Overview
Tata Consultancy Services (TCS) is hiring experienced professionals to lead AI Governance and Model Risk Management initiatives for clients across Banking, Financial Services, Insurance (BFSI), and other highly regulated industries.
The role focuses on helping organizations establish Responsible AI practices, manage AI-related risks, implement governance frameworks, and comply with evolving regulatory requirements for AI, Machine Learning, and Generative AI solutions.
Key Responsibilities
Design and implement AI Governance and Model Risk Management (MRM) frameworks.
Conduct AI/ML and Generative AI model validation and independent model reviews.
Define and implement AI risk assessment and risk-tiering methodologies.
Assess and monitor Responsible AI controls, including fairness, transparency, explainability, accountability, and governance.
Perform model bias testing, AI risk assessments, and AI Red Teaming exercises.
Advise business and technology stakeholders on AI governance, risk management, and regulatory compliance requirements.
Develop AI policies, standards, controls, and governance operating models.
Support executive leadership in managing AI-related risks and regulatory expectations.
Drive Responsible AI adoption and continuous improvement initiatives.
Establish AI oversight, monitoring, and compliance processes.
Mandatory Skills
✅ AI Governance
✅ Responsible AI
✅ AI Model Risk Management (MRM)
✅ AI/ML Model Validation
✅ Generative AI Model Validation
✅ AI Risk Assessment & Risk Tiering
✅ Model Bias Testing & Fairness Assessment
✅ AI Red Teaming & Adversarial Testing
✅ Regulatory Compliance & AI Controls
Regulatory & Framework Knowledge
✅ EU AI Act
✅ NIST AI Risk Management Framework (AI RMF)
✅ AI Governance & Model Risk Management Best Practices
Preferred Skills
ISO 42001
AI Explainability
AI Assurance
AI Audit & Controls
Enterprise Risk Management
Governance, Risk & Compliance (GRC)
Regulatory Advisory
AI Control Testing
Stakeholder & Executive Management
Desired Candidate Profile
15–25 years of overall professional experience.
Proven experience leading AI Governance and Model Risk Management initiatives.
Experience validating AI/ML and Generative AI models.
Strong understanding of Responsible AI principles and governance controls.
Experience performing AI risk assessments, model bias reviews, and AI control testing.
Deep knowledge of AI regulations, governance frameworks, and compliance requirements.
Strong consulting, stakeholder management, and communication skills.
Preferred Industry Experience
Banking
Financial Services
Insurance
Risk Management
IT and Consulting Services
Other Highly Regulated Industries
Educational Qualification
BE / BTech / MCA / MSc / MTech or equivalent qualification.
Mandatory Requirement.
Hands-on experience in AI Governance, Responsible AI, and AI Model Risk Management, including AI/ML or Generative AI model validation, is required for this role.

Work arrangement
No