EY-Cyber Security- IAM AI Manager

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. This 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.

The ideal candidate brings a strong blend of IAM experience, AI awareness, solution design capability, and stakeholder-facing communication skills. This profile is expected to guide discovery, define the IAM-AI vision, support PoCs and MVPs, and help clients adopt intelligent, risk-aware, and secure identity operations without losing focus on control, auditability, and business value.

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.
- Positive 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.

Disclaimer : This job posting has been aggregated from external source. Role detailscontentand availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GDS Cyber-AI Driven IAM-Manager (Bengaluru)
🏢 EY
📍 Bengaluru