Job Title:  Manager | Governance and Policy Development | Delhi | Cyber Strategy & Transformation

Job Title: Manager – AI Security & Governance

Location: Gurugram, India

Function: Deloitte Technology & Transformation

Work You’ll Do:

• AI Security Program Leadership: Lead engagements focused on assessing, designing, and operationalizing AI security and governance programs for global clients.
• Framework Implementation: Drive the adoption of AI governance frameworks (ISO/IEC 42001, NIST AI RMF) and integrate them into clients’ existing ISMS or enterprise risk management frameworks.
• AI Risk & Control Design: Lead the development of AI-specific security controls covering model management, data lineage, algorithmic accountability, and regulatory compliance (e.g., EU AI Act, DPDP Act).
• Governance & Policy Oversight: Establish policies and control frameworks for Responsible AI, ensuring ethical, transparent, and secure AI deployment.
• Security Architecture Reviews: Oversee reviews of AI/ML pipelines and platforms to identify control weaknesses in data ingestion, model development, and inference layers.
• Thought Leadership: Develop and publish insights, frameworks, and methodologies in AI security and governance; contribute to go-to-market initiatives.
• Stakeholder Management: Engage with senior client leadership, manage teams, define scope and deliverables, and ensure timely delivery of reports and remediation roadmaps.
• Mentorship: Guide and mentor junior team members, foster capability building in AI security, and drive internal innovation initiatives.

Skills Required:

• AI Security Expertise: Deep understanding of AI/ML technologies, security threats (e.g., data/model poisoning, adversarial ML), and mitigation strategies.
• Governance & Risk Management: Strong command over AI risk frameworks (ISO 42001, NIST AI RMF, EU AI Act) and their alignment with traditional cyber risk frameworks (ISO 27001, NIST CSF, SOC 2).
• Strategic Thinking: Ability to translate complex AI and cybersecurity challenges into practical, business-aligned solutions.
• Technical Leadership: Experience overseeing security architecture reviews for AI-enabled platforms and data environments.
• Client & Project Management: Proven consulting experience managing client relationships, teams, and project deliverables.
• Communication: Excellent stakeholder management, executive presentation, and report writing skills.

Qualifications & Experience:

• Education: Bachelor’s or Master’s degree in Information Security, Computer Science, or related discipline.
• Experience: 7–10 years in cybersecurity, with at least 3 years focused on AI governance, data security, or Responsible AI initiatives.
• Certifications (Highly Desirable):
• ISO/IEC 42001 Lead Implementer / Lead Auditor
• NIST AI RMF Certified Practitioner (if available)
• ISO 27001 Lead Implementer / CISM / CISSP
• Data governance or privacy certifications (e.g., CDPSE, CIPT) (plus)

Preferred Skills:

• Experience designing or implementing AI security controls within regulated industries (BFSI, Healthcare, Manufacturing, etc.)
• Familiarity with AI model governance tooling and MLOps security
• Experience with AI ethics, bias mitigation, and Responsible AI auditing