Company Name: VARITE India Private Limited

About The Client:

A global professional services network and part of the Big Four, along with Client, EY, and KPMG, operating across 149 countries worldwide.

About The Job:

- Design, implement, and operationalize enterprise-wide AI governance, policy, and responsible AI frameworks across the AI/ML, GenAI, and Agentic AI lifecycle.
- This role acts as a primary advisor on AI policy development, regulatory alignment, model governance, and responsible AI adoption, ensuring AI systems are deployed in a compliant, transparent, and risk-aware manner.

Essential Job Functions:

- AI Policy &

• Governance Frameworks

- Policy Development: Develop and maintain enterprise AI policies, standards, and control frameworks covering AI/ML, GenAI, and Agentic AI use cases across the full system lifecycle.
- Governance Operating Model: Establish governance structures, decision forums, escalation paths, and accountability models for AI system design, approval, deployment, and monitoring.
- Control Framework Alignment: Map AI governance controls to established frameworks and standards including NIST AI RMF, ISO/IEC 42001, OECD AI Principles, and relevant internal enterprise risk standards.

- Regulatory Compliance &

• Responsible AI

- Regulatory Alignment: Interpret and operationalize emerging AI regulations and guidance including the EU AI Act, privacy requirements, sector-specific regulations, and cross-border data governance considerations.
- Responsible AI Implementation: Define and embed responsible AI principles including fairness, explainability, transparency, accountability, safety, and human oversight into governance processes and technology delivery models.
- Risk Classification: Develop AI use-case classification models to identify risk levels, prohibited use cases, high-risk use cases, and required controls based on regulatory and enterprise requirements.

- Model Governance &

• Lifecycle Oversight

- Lifecycle Governance: Establish review and approval controls across data sourcing, model development, validation, deployment, change management, monitoring, and retirement.
- Inventory &

• Documentation: Maintain enterprise AI asset inventories, model documentation standards, use-case records, decision logs, and governance evidence for audit and regulatory readiness.

- Third-Party Oversight: Govern third-party AI tools, foundation models, vendors, and service providers through structured assessment, approval, and ongoing monitoring processes.

- Risk Management &

• Assurance

- Risk Assessments: Lead AI risk assessments covering legal, compliance, ethical, operational, privacy,



and security dimensions across AI solutions and business use cases.
- Controls Assurance: Define governance assurance mechanisms, policy adherence reviews, control testing, issue tracking, and remediation oversight for AI deployments.
- Human Oversight: Design governance requirements for human-in-the-loop, human-on-the-loop, and exception-based oversight for high-impact and agentic AI systems.

- Stakeholder Engagement &

• Change Enablement

- Executive Advisory: Advise senior stakeholders on AI risk posture, compliance exposure, governance maturity, and policy decisions.
- Cross-Functional Coordination: Partner with legal, privacy, compliance, risk, security, data science, and engineering teams to align governance requirements with delivery realities.
- Awareness &

• Enablement: Develop governance playbooks, policy guidance, training content, and operating procedures to drive consistent enterprise adoption.

Key Responsibilities
- Policy Leadership: Define, implement, and continuously improve enterprise AI governance policies, standards, and procedures.
- Governance Frameworks: Build and operationalize compliance-ready AI governance frameworks aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
- Risk Oversight: Lead AI use-case intake, risk classification, control review, and governance approval processes for AI/ML, GenAI, and Agentic AI initiatives.
- Regulatory Readiness: Support regulatory response, audit readiness, governance evidence collection, and control traceability across AI programs.
- Responsible AI Enablement: Ensure fairness, transparency, accountability, and human oversight principles are embedded into AI operating models and delivery lifecycles.
- Third-Party Governance: Assess and govern external AI platforms, models, and providers to ensure policy compliance and acceptable risk posture.
- Cross-Functional Partnership: Work closely with legal, privacy, compliance, enterprise risk, data, and engineering teams to enable responsible and compliant AI adoption.
- Practice Innovation: Build reusable governance templates, assessment methods, control libraries, and policy accelerators to support scalable client delivery.

Qualifications: Education & Experience

- Degree: Bachelor’s or master’s degree in Law, Public Policy, Computer Science, Cybersecurity, Data Science, Risk Management,



or a related field.
- Core Experience: 5+ years in governance, risk, compliance, cybersecurity, technology risk, or related functions.
- Specialized Experience: 2+ years specifically focused on AI governance, responsible AI, model risk management, digital regulation, or AI compliance programs.

Technical Skills & Certifications
- Governance Frameworks: Hands-on experience with AI governance and risk frameworks such as NIST AI RMF, ISO/IEC 42001, model risk management standards, and privacy-by-design approaches.
- Regulatory Knowledge: Strong familiarity with global AI regulatory requirements, responsible AI principles, and audit/control evidence expectations.
- Preferred Certifications: IAPP AIGP, CIPP, CIPM, CRISC, CISSP, ISO 42001-related credentials, or similar governance/risk certifications.

Soft Skills
- Stakeholder Management: Strong executive communication and advisory skills with the ability to translate regulatory and governance requirements into practical operating models.
- Policy Translation: Ability to bridge legal, compliance, technical, and business teams to operationalize AI governance in real-world delivery environments.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a valuable fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral: 0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status

📌 AI Policy & Governance Specialist (Delhi)
🏢 VARITE
📍 Delhi