Job Title:  T&T | Cyber CST | Manager | AI Security - AI Risk & Control Design | Delhi

The team

Deloitte helps organizations prevent cyberattacks and protect valuable assets. We believe in being secure, vigilant, and resilient—not only by looking at how to prevent and respond to attacks, but at how to manage cyber risk in a way that allows you to unleash new opportunities. Embed cyber risk at the start of strategy development for more effective management of information and technology risks: Learn more about Cyber | Deloitte

YoYour work profile

• 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.

Key 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 skill
  • Education: Any Graduate or 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 and Data governance or privacy certifications (e.g., CDPSE, CIPT) (plus)
  • 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.