AI Identity and Access Management Consulting Director
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Role details
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Job description
You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
The Consulting Director, AI Identity & Access Management (IAM) is a strategic and hands-on leader responsible for advancing CNAβs modern IAM capabilities through the application of artificial intelligence, automation, and next-generation identity governance. This role focuses on governing AI agents as non-human identities, driving intelligent automation, and improving end-user experience across IAM services. The position partners across Security, AI Governance, Engineering, and Business teams to ensure AI-enabled identity solutions are secure, scalable, and aligned with enterprise governance standards., AI Identity Governance (Core Pillar)
- 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.
- Accelerate the adoption of AI usage in the IAM space
- Partner with AI Governance, Security, Legal, and Compliance teams to align with enterprise AI policy and approval processes.
AI-Driven IAM Transformation & Automation
- 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.
End User Experience & Self-Service Innovation
- 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
- Reduce friction while maintaining strong security controls and compliance posture.
Strategy, Architecture & Innovation
- 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.
Requirements
Management Consulting, Artificial Intelligence (AI), Identity Data Management, Leadership, Consulting, Artificial Intelligence (AI), Automation, Identity Data Management, Artificial Intelligence (AI) Agents, User Interface/Experience (UI/UX), * 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
- Ability to operate both strategically and hands-on across architecture and execution
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
Benefits & conditions
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia,California, Colorado, Connecticut, Illinois,Maryland, Massachusetts, New York and Washington,the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNAβs benefits, please visit cnabenefits.com.
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