IAM Manager, Cyber-AI Driven

Job Description: 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. 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. Lead client workshops, discovery, solution shaping, estimation, roadmap definition, and executive-level IAM-AI storytelling. 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.Requirements: 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. 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.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. Job Description: 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. 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. Lead client workshops, discovery, solution shaping, estimation, roadmap definition, and executive-level IAM-AI storytelling. 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.Requirements: 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