EY-Cyber Security- IAM AI Manager
About Global Delivery Services
Global Delivery Services refers to EY’s worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.
Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.
Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high‑quality, value‑added support, helping deliver exceptional client service.
Enablement Services provides cost‑effective, high‑skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.
Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.
The Opportunity
EY GDS Cybersecurity is seeking an experienced IAM AI Manager to help clients modernize their Identity and Access Management landscape through AI‑led transformation. The role focuses on identifying where AI can improve IAM operations, governance, access risk management, privileged access, and non‑human identity controls across enterprise environments.
You will work closely with clients and delivery teams to translate IAM challenges into practical, scalable, and reusable AI‑enabled solutions. The role requires strong IAM domain understanding, consulting leadership, and the ability to shape solution approaches that improve identity lifecycle management, access governance, authentication, privileged access, compliance posture, and emerging areas such as agent, workload, and service identities.
Your Key Responsibilities
Technical architecture & design
- Define IAM‑AI solution architecture across IGA, AM/SSO, PAM, directory services, NHI, and security operations use cases.
- Translate client IAM challenges into scalable AI‑enabled workflows, PoCs, MVPs, and implementation roadmaps.
- Guide secure integration of identity data, AI models, automation scripts, APIs, analytics, and cloud services to improve IAM operations and risk visibility.
- Provide hands‑on direction using Python, PowerShell, APIs, and automation patterns to validate and accelerate solution delivery.
LLM, Reasoning & Knowledge Engineering
- Design AI‑led IAM use cases using LLMs, RAG, agents, copilots, orchestration frameworks, and responsible AI guardrails.
- Apply AI/ML techniques to support access risk analysis, anomaly detection, role mining, certification insights, and privileged access intelligence.
- Support secure NHI and agent identity governance covering discovery, inventory, authentication, authorization, and guardrails.
IAM integration automation leadership
- Lead client workshops, discovery, solution shaping, estimation, roadmap definition, and executive‑level IAM‑AI storytelling.
- Design AI‑enabled governance capabilities across SailPoint, Saviynt, access reviews, lifecycle management, provisioning, SOD, and compliance reporting.
- Shape PAM automation and analytics across CyberArk, privileged access patterns, session monitoring, password rotation, secrets, and risk‑based remediation.
- Develop client‑ready insights and dashboards using identity data, analytics, automation, and visualization tools.
Qualifications
Required Skills
- 7+ years of experience in IAM, cybersecurity consulting, AI architecture, intelligent automation, or advanced analytics.
- Strong understanding of IAM domains including IGA, AM/SSO, PAM, AD/Entra ID, NHI, lifecycle management, governance, provisioning, access reviews, and risk scoring.
- Working knowledge of AI concepts such as LLMs, RAG, AI agents, copilots, orchestration, embeddings, and cloud AI services.
- Hands‑on experience with Python, PowerShell, APIs, automation scripts, data pipelines, and cloud‑native integration patterns.
- Good understanding of IAM protocols and controls including SAML, OAuth, OIDC, MFA, Conditional Access, federation, authorization, and certificate/key management.
- Strong consulting, communication, stakeholder management, presentation, and executive storytelling skills.
Preferred Skills
- Experience in Big 4, GDS, global delivery, or consulting‑led environments.
- Ability to create PoC/MVP plans, architecture views, roadmap slides, executive summaries, and client demos.
- Exposure to IAM modernization, NHI governance, privileged access transformation, AI adoption, and responsible AI controls.
- Relevant working knowledge or certifications across CISSP, CISM, Azure AI, Google ML, Saviynt, SailPoint, CyberArk, or cloud security are preferred.
Certifications, Compliance & Assurance
- Ensure IAM‑AI solutions are secure, auditable, explainable, and aligned with client risk, compliance, and assurance expectations.
- Define governance guardrails for AI‑driven identity operations, NHI controls, privileged access automation, access recommendations, data handling, and model‑assisted decisions.
Benefits
Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting‑edge learning opportunities that empower you to continually grow and excel in your professional and personal development.
We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion.
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