AI Identity and Access Management Consulting Director

Key Responsibilities

• Lead the design and implementation of AI Agent Identity Governance, ensuring all agents are treated as first-class non-human identities with defined ownership, lifecycle, and access controls.
• Establish and operationalize controls for:
  • Identity registration, ownership, and accountability
  • Secure authentication and credential management
  • Fine-grained authorization and least privilege enforcement
  • Auditability and traceability of all agent actions
  • Define and enforce separation of user vs. agent identity context to reduce risk and blast radius.
• Partner with AI Governance, Security, Legal, and Compliance teams to align with enterprise AI policy and approval processes.
• Drive adoption of AI-powered IAM capabilities, including:
  • Intelligent role mining and access optimization
  • Unified identity risk scoring
  • Automated access decisioning and lifecycle workflows
  • AI-enabled identity analytics and anomaly detection
  • Identify and implement opportunities to eliminate manual processes across provisioning, certification, and access reviews.
  • Leverage AI and orchestration tools to deliver scale, consistency, and auditability in IAM operations.
• Improve IAM user experience through AI-driven solutions such as:
  • Identity chatbots and virtual assistants
  • Simplified access request workflows
  • Proactive identity insights and guidance for users
• Define the enterprise roadmap for AI in IAM, aligned to broader IAM strategy and security priorities.
  • Evaluate and integrate emerging capabilities across Okta, SailPoint, CyberArk, cloud platforms, and AI ecosystems.
  • Create reference architectures and standards for:
  • AI agent identity lifecycle management
  • Secure AI integrations with IAM platforms
  • Scalable identity models for human and non-human identities
  • Act as a thought leader and advisor to senior leadership on AI + IAM strategy.

Required Qualifications

• 10+ years in Identity & Access Management, Security Architecture, or related domain
• Demonstrated experience with IAM platforms such as (Okta, SailPoint, CyberArk, cloud IAM)
• Experience with automation, orchestration, or AI-enabled solutions within security or IT operations
• Strong understanding of: Identity lifecycle management, RBAC/ABAC and least privilege models, Authentication and authorization frameworks, Audit and regulatory requirements

Preferred Qualifications

• Experience with AI/ML, GenAI, or agentic systems in enterprise environments
• Familiarity with AI governance frameworks and model risk considerations
• Experience integrating IAM with cloud, APIs, and developer ecosystems
• Background in building automation or AI-driven operational solutions