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IT / Software / Data Analyst
AI Governance Lead
IT / Software / Data Analyst
#759206
Remote / WFH
Tech Mahindra
Job Description
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AI Governance Lead
Tech Mahindra
3.3
(44.5K Reviews)
50+ applicants
Posted Few hours ago
Job DetailsAbout CompanyReviewsBenefitsSalaries
Job highlights
12+ years in AI Governance with expertise in AI risk management, compliance frameworks, and Generative AI standards
Lead enterprise AI governance frameworks, risk assessments, compliance, security controls, and client advisory on Responsible AI and AI risk management
12 - 22 Years
1 Vacancy
₹ 30-45 Lacs P.A
Hyderabad, Pune, Bengaluru
Must have key skills
Regulations,
Compliance,
business consulting expertise,
AI Governance,
Risk Management
Other key skills
AI & ML
Job description
What you’ll do
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 and governance board approvals where required.
Risk Management & Compliance
Lead AI risk assessments across internal and client AI initiatives.
Identify and mitigate operational, compliance, regulatory, security, and ethical risks.
Monitor emerging regulations and ensure governance programs remain compliant.
Define controls for model governance, auditability, traceability, and documentation.
AI Security Governance
Collaborate with cybersecurity teams to establish AI security controls.
Define governance standards for:
Prompt Security
Model Security
Data Security
AI Agent Governance
Third-Party Model Governance
Assess AI platform security posture and compliance readiness.
AI Lifecycle Governance
Define standards for:
Model Development
Model Validation
Deployment Approval
Monitoring
Retirement
Establish enterprise model registries and governance workflows.
Ensure appropriate controls exist across AI and GenAI development pipelines.
Client Advisory & Consulting
Act as a trusted advisor to clients on AI governance, compliance, and responsible AI adoption.
Conduct AI governance assessments and due diligence workshops.
Present findings, recommendations, and governance roadmaps to executive stakeholders.
Support AI solution reviews from governance and compliance perspectives.
Governance Operating Model
Establish AI Governance Councils and oversight mechanisms.
Coordinate with Legal, Compliance, Security, Privacy, Risk, and Business teams.
Create governance reporting frameworks and executive dashboards.
Drive governance awareness and AI policy adoption programmes.
Industry Leadership
Represent Tech Mahindra at industry forums, analyst discussions, and governance working groups.
Contribute to thought leadership, whitepapers, governance methodologies, and client collateral.
Monitor emerging trends in AI regulation, governance technologies, and best practices.
Due Diligence & Assessment
Assess client AI ecosystems, governance maturity, and regulatory readiness.
Evaluate AI operating models, policies, controls, and governance structures.
Analyze AI solution pipelines for governance gaps and risk exposures.
Conduct Responsible AI maturity assessments.
Develop governance transformation roadmaps and implementation recommendations.
Create executive-level reports highlighting governance risks, opportunities, compliance posture, and remediation actions.
Collaboration & Communication
Work closely with AI Architects, Data Scientists, Security Architects, Legal Teams, Compliance Officers, and Business Leaders.
Communicate governance requirements clearly across technical and business stakeholders.
Facilitate governance reviews, steering committees, and executive governance boards.
Maintain governance artifacts, policies, standards, controls, and operational documentation.
Preferred Certifications
ISO/IEC 42001 Lead Implementer or Lead Auditor
NIST AI Risk Management Framework Certifications
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified Data Privacy Solutions Engineer (CDPSE)
Certified in Risk and Information Systems Control (CRISC)
Microsoft Certified: Azure AI Engineer Associate
Google Cloud Professional ML Engineer
Responsible AI Certifications from recognized institutions
Industry type
IT Services & Consulting
Department
BFSI, Investments & Trading
Role
BFSI, Investments & Trading - Other
Role category
BFSI, Investments & Trading - Other
Employment type
Full Time, Permanent
Education
B.Tech / B.E. in Any Specialization
Install app
Company logo
AI Governance Lead
Tech Mahindra
3.3
(44.5K Reviews)
50+ applicants
Posted Few hours ago
Job DetailsAbout CompanyReviewsBenefitsSalaries
Job highlights
12+ years in AI Governance with expertise in AI risk management, compliance frameworks, and Generative AI standards
Lead enterprise AI governance frameworks, risk assessments, compliance, security controls, and client advisory on Responsible AI and AI risk management
12 - 22 Years
1 Vacancy
₹ 30-45 Lacs P.A
Hyderabad, Pune, Bengaluru
Must have key skills
Regulations,
Compliance,
business consulting expertise,
AI Governance,
Risk Management
Other key skills
AI & ML
Job description
What you’ll do
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 and governance board approvals where required.
Risk Management & Compliance
Lead AI risk assessments across internal and client AI initiatives.
Identify and mitigate operational, compliance, regulatory, security, and ethical risks.
Monitor emerging regulations and ensure governance programs remain compliant.
Define controls for model governance, auditability, traceability, and documentation.
AI Security Governance
Collaborate with cybersecurity teams to establish AI security controls.
Define governance standards for:
Prompt Security
Model Security
Data Security
AI Agent Governance
Third-Party Model Governance
Assess AI platform security posture and compliance readiness.
AI Lifecycle Governance
Define standards for:
Model Development
Model Validation
Deployment Approval
Monitoring
Retirement
Establish enterprise model registries and governance workflows.
Ensure appropriate controls exist across AI and GenAI development pipelines.
Client Advisory & Consulting
Act as a trusted advisor to clients on AI governance, compliance, and responsible AI adoption.
Conduct AI governance assessments and due diligence workshops.
Present findings, recommendations, and governance roadmaps to executive stakeholders.
Support AI solution reviews from governance and compliance perspectives.
Governance Operating Model
Establish AI Governance Councils and oversight mechanisms.
Coordinate with Legal, Compliance, Security, Privacy, Risk, and Business teams.
Create governance reporting frameworks and executive dashboards.
Drive governance awareness and AI policy adoption programmes.
Industry Leadership
Represent Tech Mahindra at industry forums, analyst discussions, and governance working groups.
Contribute to thought leadership, whitepapers, governance methodologies, and client collateral.
Monitor emerging trends in AI regulation, governance technologies, and best practices.
Due Diligence & Assessment
Assess client AI ecosystems, governance maturity, and regulatory readiness.
Evaluate AI operating models, policies, controls, and governance structures.
Analyze AI solution pipelines for governance gaps and risk exposures.
Conduct Responsible AI maturity assessments.
Develop governance transformation roadmaps and implementation recommendations.
Create executive-level reports highlighting governance risks, opportunities, compliance posture, and remediation actions.
Collaboration & Communication
Work closely with AI Architects, Data Scientists, Security Architects, Legal Teams, Compliance Officers, and Business Leaders.
Communicate governance requirements clearly across technical and business stakeholders.
Facilitate governance reviews, steering committees, and executive governance boards.
Maintain governance artifacts, policies, standards, controls, and operational documentation.
Preferred Certifications
ISO/IEC 42001 Lead Implementer or Lead Auditor
NIST AI Risk Management Framework Certifications
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified Data Privacy Solutions Engineer (CDPSE)
Certified in Risk and Information Systems Control (CRISC)
Microsoft Certified: Azure AI Engineer Associate
Google Cloud Professional ML Engineer
Responsible AI Certifications from recognized institutions
Industry type
IT Services & Consulting
Department
BFSI, Investments & Trading
Role
BFSI, Investments & Trading - Other
Role category
BFSI, Investments & Trading - Other
Employment type
Full Time, Permanent
Education
B.Tech / B.E. in Any Specialization
