Senior AI Governance & Model Risk Management Leader

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: 15 to 25

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 strong stakeholder management and consulting skills

This role is NOT for Cyber Security, Information Security, Network Security, SOC, VAPT, IAM, GRC, IT Audit, Technology Risk, or Security Compliance professionals.

We are specifically seeking professionals with hands-on experience in AI Governance, Responsible AI, AI/ML Model Risk Management, Model Validation, Quantitative Risk, and Regulatory Oversight within BFSI or highly regulated industries.