AI Governance Lead

Job Title: AI Governance Lead

Experience: 12+ years

Location: Bangalore, Pune, Hyderabad

Domain: Banking

Notice Period: Immediate to 45 days

Job Description:

A senior AI leader who can combine AI governance, risk management, regulation, security, compliance, and business consulting expertise to establish trusted, scalable, and enterprise-grade AI adoption programs for global customers while positioning as a leader in Responsible and Agentic AI governance

This role demands thought leadership, strong stakeholder management capabilities, consulting expertise, and the ability to drive governance initiatives across large-scale AI transformation programs.

Skills & Experience

AI Governance Skills

• 12+ years of experience in Enterprise IT, Data, Security, Risk, Compliance, and AI, with at least 5 years focused on AI Governance, Responsible AI, Model Risk Management, and AI Compliance.
• Strong understanding of AI/ML lifecycle governance frameworks and model management practices.
• Experience establishing AI Governance Councils, operating models, governance boards, and policy frameworks.
• Expertise in AI risk assessment methodologies and control frameworks.
• Practical experience developing governance standards for Generative AI and Agentic AI systems.

• Strong knowledge of AI regulations and standards, including:

• EU AI Act
• NIST AI Risk Management Framework
• ISO/IEC 42001
• ISO 27001
• SOC 2
• GDPR
• HIPAA

• Industry-specific compliance frameworks

• Experience in AI model inventory management, model validation, monitoring, and lifecycle controls.
• Understanding of AI explainability, transparency, fairness, bias detection, and accountability principles.
• Knowledge of cybersecurity controls applicable to AI systems, including data protection, prompt security, model security, and AI supply chain risk management.
• Experience in governance of LLMs, foundation models, RAG architectures, AI agents, and multimodal AI systems.

AI & GenAI Skills

• Strong understanding of Generative AI concepts including:

• LLMs
• Embeddings
• Vector Databases
• RAG
• Fine Tuning
• Agentic Systems

• Multi-Agent Platforms

• Deep knowledge of AI safety, alignment, guardrails, content moderation, and responsible AI controls.

• Experience implementing governance controls around:

• Prompt Management
• Model Selection
• AI Output Validation
• Human-in-the-Loop Systems
• AI Monitoring

• Explainability Frameworks

• Familiarity with enterprise AI platforms such as:

• Azure AI Foundry
• Azure OpenAI
• Google Vertex AI
• AWS Bedrock
• Databricks
• NVIDIA AI Enterprise
• Open-source AI ecosystems

Risk & Compliance Skills

• Experience performing enterprise AI risk assessments.
• Strong understanding of operational, reputational,regulatory, ethical, and security risks associated with AI.
• Experience creating AI control frameworks and audit mechanisms.
• Ability to define governance KPIs, control monitoring dashboards, and compliance scorecards.
• Experience supporting internal and external audits for AI and data governance programs.

Consulting & Leadership Skills

• Experience advising CXOs and senior business leaders on AI governance strategies.
• Strong communication and executive presentation skills.
• Experience leading large-scale governance transformation initiatives.
• Ability to influence cross-functional stakeholders globally.
• Expertise in governance-related due diligence, assessments, and maturity evaluations.

Roles & Responsibilities

This role requires strong leadership to drive enterprise-wide AI governance initiatives and position Tech Mahindra as a trusted advisor in Responsible AI and AI Risk Management.

Key responsibilities include:

Governance Strategy & Framework Development

• Define and implement enterprise AI governance frameworks, operating models, and policies.
• Establish governance practices covering AI lifecycle management, risk management, compliance, security, and ethics.
• Build governance standards for Generative AI, Agentic AI, ML, and automation initiatives.
• Develop governance maturity models and adoption roadmaps.

Responsible AI & Trustworthy AI

• Establish Responsible AI principles, controls, and operational processes.
• Define policies for fairness, transparency, explainability, privacy, accountability, and human oversight.
• Review AI solutions to ensure responsible AI compliance before deployment.
• Drive AI ethics reviews …