Cybersecurity Manager, AI Security Practice

We are KPMG's technology arm in Israel. KPMG delves headfirst into the power of emerging technologies and scientific breakthroughs to craft solutions, projects, and products for companies facing complex business challenges in today's continuously changing world. By uniting groundbreaking technology with industry expertise, we are able to harness the potential of cloud, AI, ML, digital, and cyber to design and implement top-of-the-line tailored solutions.

KPMG Israel is looking for a Cybersecurity Manager, AI Security Practice

Role Overview

As a Manager in the Cybersecurity Practice with a focus on AI Security, you will drive strategic growth of KPMG’s offerings at the intersection of cybersecurity, artificial intelligence (AI), and governance risk & compliance (GRC). You will lead client engagements, shape innovative service offerings, influence go-to-market strategy, mentor delivery teams, and help organizations secure AI transformative initiatives.

This role sits at the convergence of consulting, technology, and risk advisory, requiring both deep technical expertise in AI and ML security architectures and senior client relationship leadership. You will work cross-functionally with global teams including cyber, cloud, data, AI and risk to embed security strategies into clients’ AI journeys.

Responsibilities

Strategic Leadership & Practice Growth

• Define and execute the strategic roadmap for AI security offerings and solutions, including consulting frameworks, accelerators, and tool integrations.
• Drive thought leadership in AI risk management, secure AI adoption, and cyber governance for emerging technologies.
• Lead go-to-market strategy, including positioning, business development, proposals, pricing, and differentiation in AI security.
• Influence global cyber offerings to incorporate AI risk, threat modeling, compliance, and resilience considerations.
  
  

• Lead complex client engagements end-to-end, from scoping through delivery, ensuring high quality, on-time and profitable execution.
• Advise enterprise clients on secure AI adoption, AI threat landscape, governance frameworks, secure deployment patterns, and operational resiliency.
• Architect secure AI and ML environments, including identification of risks such as data poisoning, model extraction, integrity attacks, and unauthorized access.
• Integrate AI security with enterprise security programs, cloud, DevSecOps, identity and access management, and compliance controls.
  
  

• Serve as a trusted advisor to senior client executives including CIOs, CISOs, and boards, translating cyber risk into business impact.
• Lead pursuit teams and support RFP responses and technical solution briefings.
• Build and maintain a pipeline of engagements through presentations, workshops, conferences, and strategic partner initiatives.
  
  

• Mentor and develop senior cyber and AI consultants, promoting excellence and continuous learning.
• Champion a security-first and innovation mindset across teams globally.
• Contribute to recruiting, capability building, certifications, and career pathing in the AI security domain.
  
  

• 10+ years of experience in cybersecurity or IT risk consulting roles, with strong experience in AI and ML security or adjacent domains including architecture, governance, or operations.
• Proven track record of leading client engagements and complex technical teams.
• Experience shaping commercial offerings, leading pre-sales activities, and winning new business.
  
  

• Deep understanding of AI and ML systems, models, data governance, and related threats including data poisoning, model evasion, extraction, and integrity risks.
• Skilled in secure architecture design patterns for AI and ML platforms, cloud environments including AWS, Azure, and GCP, containers, orchestration with Kubernetes, and identity systems.
• Familiarity with AI security frameworks and standards, including ISO 42001, and risk models.
• Knowledge of NIST, MITRE ATT&CK, CSA, and GRC methodologies.
  
  

• Strong client management and selling skills, including the ability to engage C-level stakeholders.
• Excellent communication, presentation, and strategic thinking capabilities.
• Ability to articulate complex technical risks in business terms.
  
  

• CISSP, CISM, CCSP, and AI security or data governance certifications.