AI Governance & AI Model Risk Management Consulting Partner

Tata Consultancy Services; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services seeks a Lead AI Governance and Model Risk Management expert to guide organizations in establishing Responsible AI practices, managing AI risks, and meeting evolving regulatory requirements. The role provides strategic advisory for AI/ML and Generative AI adoption, governance, validation, and oversight.

Key responsibilities include designing governance frameworks, conducting model validations, and advising on regulatory expectations for BFSI and other regulated sectors.

Qualifications

• Experience in AI governance and responsible AI practices.
• Proficient in AI/ML and Generative AI model validation and independent reviews.
• Skilled in AI risk tiering, risk assessment methodologies, and model bias testing.

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.

Skills

AI Governance

Responsible AI

AI/ML Model Validation

Generative AI

AI Risk Assessment

Regulatory Compliance

Job description

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/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
• 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.