GDS Cyber-AI Driven IAM-Manager

EY; Dadri; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Health & wellness

Learning opportunities

Leadership roles

Mentorship

Job summary

EY GDS Cybersecurity seeks an IAM AI Manager to help clients modernize Identity and Access Management through AI-led transformation. This role focuses on AI-enabled improvements to IAM operations, governance, access risk, privileged access, and non-human identity controls across enterprise environments.

You will collaborate with clients and delivery teams to translate IAM challenges into scalable AI solutions, shaping approaches that enhance lifecycle management, authentication, access reviews,

Qualifications

• 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.

Responsibilities

• 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.

Skills

IAM expertise

Cybersecurity consulting

AI architecture

Automation engineering

Strong communication

Executive storytelling

Stakeholder management

Cloud integration

Tools

Python

PowerShell

APIs

Job description

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. Join us and build an exceptional experience for yourself, and a better working world for all.

EY-Cyber Security - IAM AI Manager

Global Delivery Services (GDS) is EY’s worldwide network of service delivery centers that supports EY’s growth agenda across 80,000+ professionals in ten locations worldwide.

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, shaping 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

• Premium health and wellness packages.
• Enticing rewards and cutting‑edge learning opportunities.
• Opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.
• Inclusive culture that values diversity, equity, and belonging.

Equal Opportunity Statement

We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion.