Digital Identity Non-Human Identity, Machine Identity & Agentic Identity Associate Director

About the role

The ideal candidate combines executive-level client advisory skills, strong business development and market-facing capabilities, architect-level technical expertise, experience leading complex cybersecurity and identity programs, and passion for shaping emerging identity capabilities within the AI era.

Responsibilities

• Helping organizations secure identities beyond traditional workforce users.
• Advising executive stakeholders on emerging risks associated with machine identities, cloud-native identities, automation, and AI agents.
• Translating complex identity architecture concepts into practical business outcomes and measurable risk reduction.
• Solving challenges that span IAM, PAM, IGA, cloud security, application security, and DevSecOps domains.
• Building trusted relationships with clients and alliance partners.
• Developing market-leading service offerings and go-to-market strategies.
• Leading technical and business discussions across diverse stakeholder groups.
• Building and mentoring high-performing consulting teams.
• Contributing to proposals, sales pursuits, and thought leadership initiatives.
• Staying at the forefront of evolving identity trends, platforms, and security challenges.

Requirements

• Identity Strategy and Advisory Experience delivering strategic IAM, PAM, NHI, or Machine Identity advisory services, including assessments, maturity evaluations, strategy development, and roadmap creation.
• Experience designing enterprise operating models and governance frameworks for identity programs.
• Ability to communicate technical and business risks to executive stakeholders and boards.
• Experience developing identity security standards, policies, and control frameworks.
• Non-Human Identity and Machine Identity Hands-on experience securing and governing non-human identities including service accounts, application accounts, service principals, API keys, workload identities, container identities, automation accounts, bot identities, and AI-powered agents.
• Experience addressing credential sprawl, secrets management, token lifecycle management, certificate lifecycle management, privileged service account governance, identity ownership and accountability, least privilege implementation, identity discovery and inventory.
• Experience designing lifecycle processes for creation, ownership, approval, monitoring, certification, review, and retirement of machine identities.
• Hands-on experience in architecting and implementing NHI/Secrets management solutions aligning with leading NHI frameworks such as OWASP.
• Architecture and Technical Leadership Architect-level understanding of IAM capabilities including IGA, PAM, Access Management, authentication and authorization, and Identity Threat Detection & Response (ITDR).
• Experience designing secure identity architectures leveraging OAuth, OpenID Connect, SAML, SCIM, JWTs, service-to-service authentication, and federated workload identity.
• Experience designing or evaluating secrets management solutions, certificate lifecycle management solutions, key management architectures, cloud-native identity platforms, API authorization patterns, and Zero Trust architectures.
• Cloud and Platform Security Experience with one or more of the following: Microsoft Entra ID, Azure Managed Identities, AWS IAM, Google Cloud IAM, Kubernetes, container platforms, CI/CD platforms, Infrastructure-as-Code environments, and cloud-native workload identity solutions.
• Emerging Agentic Identity and AI Security While direct experience with Agentic Identity is not required, successful candidates will demonstrate experience applicable to AI-enabled identity use cases, including identity governance for autonomous systems, delegated authorization models, service-to-service authentication, automation and orchestration platforms, AI-enabled applications and workflows, human accountability models for non-human actors, secure access patterns for AI systems, and governance and lifecycle management of AI agents and autonomous workloads.

Qualifications

• Bachelor’s degree in a relevant discipline (e.g., Information Systems, Computer Science, Engineering, Cybersecurity)
• 9+ years working in IAM, PAM, cybersecurity consulting, cloud security, or related fields.
• Experience within a consulting firm, systems integrator, software vendor, or large enterprise identity program is strongly preferred.
• Professional certifications are strongly preferred, including CISSP, CCSP, Microsoft security certifications, CyberArk certifications, SailPoint certifications, Saviynt certifications, AWS certifications, and vendor-specific IAM or PAM credentials.
• Experience building or leading a Machine Identity or Non-Human Identity program.
• Experience with service account governance initiatives.
• Experience with certificate lifecycle management programs.
• Experience implementing workload identity federation.
• Experience securing AI-enabled applications or autonomous systems.
• Experience developing NHI security offerings, thought leadership, or market strategies.
• Existing relationships with IAM, PAM, Cloud Security, DevOps, or AI Security leaders.

Skills

• Identity Strategy and Advisory Experience
• Enterprise Operating Models and Governance Frameworks
• Technical Communication
• Market Analysis and Strategy Development
• Client Relationship Management
• Business Development and Market Leadership
• Leadership and Team Management
• Proposal and Thought Leadership Development
• Emerging Identity Trends and Platforms

Benefits

Healthcare benefits, including medical, dental, and vision coverage, FSA and HSA accounts, life and accident insurance, adoption and fertility assistance, paid parental leave, short/long term disability, and a 401(k) savings and investment plan with an employer match.

Pay

$155,000.00 - $264,000.00

Schedule

Hybrid model combining in-person and remote work, with varying remote to in-person requirements based on client, project, team, and business factors.