Risk Management

Tata Consultancy Services; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Tata Consultancy Services seeks a senior risk governance leader with 10–12 years in risk management and AI governance to drive risk controls across enterprise AI initiatives. You will apply NIST AI RMF, ISO/IEC 42001, and lifecycle risk management to AI use cases from design to monitoring, partnering with senior stakeholders.

The role emphasizes policy development, documentation, audit readiness, and the ability to navigate regulated environments.

Qualifications

• 10–12 years of experience in risk management, technology risk, model risk management, information security, governance, compliance or AI governance.
• Hands-on experience in AI Risk Management and/or Responsible AI Governance within large enterprises or consulting environments.
• Strong expertise in NIST AI RMF, ISO/IEC 42001, AI governance controls and lifecycle risk management.
• Experience assessing and governing traditional ML, generative AI and enterprise AI/ML use cases across design, development, deployment and monitoring.
• Strong senior stakeholder management, policy development, communication, documentation, control design and audit-readiness skills.
• Experience in regulated industries such as BFSI, Healthcare, Telecom, Retail or Technology.
• Familiarity with ISO 27001, NIST CSF, Model Risk Management, Responsible AI principles and data privacy regulations.
• Exposure to internal audit, RCSA, GRC tooling, third-party/vendor AI risk, GenAI governance, LLM risk assessment and AI system assurance.

Skills

Risk management

Technology risk

Model risk management

Information security

Governance & compliance

AI governance

Stakeholder management

Policy development

Audit readiness

Documentation

Tools

GRC tooling

Job description

• 10–12 years of experience in risk management, technology risk, model risk management, information security, governance, compliance or AI governance.
• Hands-on experience in AI Risk Management and/or Responsible AI Governance within large enterprises or consulting environments.
• Strong expertise in NIST AI RMF, ISO/IEC 42001, AI governance controls and lifecycle risk management.
• Experience assessing and governing traditional ML, generative AI and enterprise AI/ML use cases across design, development, deployment and monitoring.
• Strong senior stakeholder management, policy development, communication, documentation, control design and audit-readiness skills.

Good to have:

• Experience in regulated industries such as BFSI, Healthcare, Telecom, Retail or Technology.
• Familiarity with ISO 27001, NIST CSF, Model Risk Management, Responsible AI principles and data privacy regulations.
• Exposure to internal audit, RCSA, GRC tooling, third-party/vendor AI risk, GenAI governance, LLM risk assessment and AI system assurance.