EY - Cyber Security - Enterprise Security Architecture - Cloud and AI Security - Manager

EY – Cyber Security – Enterprise Security Architecture - Cloud  and AI Security – Manager

Job Listing Detail

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

 

The Opportunity

We’re looking for a Manager in our Cyber Security team with a strong focus on Enterprise Security Architecture, with deep emphasis on Cloud Security and AI / GenAI Security. In this role, you will be responsible for defining, designing, integrating, and implementing secure by design architectures across enterprise, cloud, data, and AI platforms, enabling organizations to adopt cloud and AI technologies securely, responsibly, and at scale.

This is an exciting opportunity to work with leading global clients on large scale digital, cloud, and AI transformation programs, shaping future ready security architectures that address emerging risks across infrastructure, platforms, data, models, and ecosystems.

 

Your Key Responsibilities

• Design, build, test, and implement enterprise, cloud, and AI aware security architectures aligned with business objectives, regulatory expectations, and EY security standards.
• Lead security architecture for cloud native and AI enabled platforms, covering IaaS, PaaS, SaaS, data platforms, ML pipelines, and GenAI services.
• Define secure cloud landing zones and reference architectures, incorporating identity, network segmentation, encryption, logging, monitoring, and policy enforcement.
• Architect security by design patterns for AI/ML and GenAI use cases, including data protection, model lifecycle security, API security, and platform controls.
• Oversee the integration of security controls across enterprise IT, cloud, data, and AI ecosystems, ensuring scalability, resilience, and interoperability.
• Conduct threat modeling and architecture risk assessments for cloud and AI scenarios, addressing risks such as data leakage, model abuse, prompt injection, supply chain compromise, and shared responsibility gaps.
• Drive adoption of Zero Trust Architecture principles across enterprise, cloud, and AI environments.
• Review and assess cloud and AI platform security configurations to ensure compliance with best practices, organizational policies, and regulatory requirements.
• Integrate cloud native security capabilities such as CSPM, CWPP, CIEM, CASB, and cloud native SIEM/SOAR into enterprise security architectures.
• Embed DevSecOps and automation principles, including IaC and policy as code, into cloud and AI delivery pipelines.
• Perform architecture reviews, configuration reviews, and design assurance to identify gaps, vulnerabilities, and improvement opportunities.
• Engage senior stakeholders to align enterprise, cloud, and AI security strategies with business objectives, risk appetite, and compliance expectations.
• Mentor and guide junior team members, fostering a culture of continuous learning across enterprise, cloud, and AI security.
• Develop and deliver training sessions for clients and internal teams on enterprise security architecture, cloud security, and AI security best practices.

 

Skills and Attributes for Success

• Strong experience in enterprise security architecture, with hands on exposure to cloud security and AI enabled environments.
• Solid understanding of cloud security architecture patterns, shared responsibility models, and defense in depth.
• Strong awareness of AI and GenAI security risks, including data privacy, model integrity, misuse, bias, and explainability considerations.
• Deep technical knowledge of identity centric security, network security, endpoint security, API security, and data protection.
• Experience working with cloud native security services and integrating them into enterprise security ecosystems.
• Strong understanding of Zero Trust Architecture across hybrid, multi cloud, and AI platforms.
• Excellent analytical and problem solving skills, with the ability to translate complex security risks into actionable guidance.
• Strong communication and stakeholder management skills, with the ability to engage both technical and non technical audiences.
• Ability to manage multiple client engagements and priorities in a fast paced consulting environment.

 

To Qualify for the Role, You Must Have

• 12–15 years of experience in Information Technology, with specialization in Cyber Security and Enterprise Security Architecture.
• Proven experience designing and assessing cloud security architectures across Azure, AWS, and/or GCP.
• Hands on exposure to cloud IAM, network security, encryption, key management, monitoring, and logging services.
• Experience integrating CSPM, CWPP, CIEM, and cloud security tooling into enterprise security operations.
• Exposure to AI/ML platforms or data platforms, with a security, risk, or governance focus.
• Experience in Zero Trust security strategy and implementation.
• Relevant industry certifications such as CISSP, CCSP, CISM, SABSA, TOGAF, or equivalent.

 

Ideally, You’ll Also Have

• Experience working in a consulting or professional services environment.
• Familiarity with AI governance, Responsible AI, and regulatory expectations related to AI and data protection.
• Exposure to securing AI services on hyperscale cloud platforms.
• Cloud security certifications such as CCSP, Azure Security Engineer, AWS Security Specialty, or equivalent.
• Strong interpersonal skills with the ability to build trusted client relationships.
• A proactive approach to identifying and addressing emerging cloud and AI security challenges.

 

What We Look For

• Professionals with strong technical depth, enterprise architecture mindset, and consulting orientation.
• Ability to lead cloud, AI, and cyber security discussions with SMEs, CISOs, CTOs, and senior client stakeholders.
• Experience in RFP responses, proposal development, effort estimation, and go to market activities is a plus.
• Passion for shaping the future of secure cloud and AI adoption.