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Cyber Manager: AI Security, Identity

Posted today

deloittePittsburgh (PA)

SENIORITY

Manager

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About the role

Overview: In this role you lead identity security for AI-enabled workloads and users, translating risk and platform needs into solid target architectures. You guide cross-functional teams through assessments, design, and implementation while shaping reusable delivery assets. You’ll influence critical decisions in design, policy, and integration to ensure secure, scalable agentic systems from design through production. This is a client-facing, impact-driven leadership role within Deloitte’s Cyber for AI team.
Responsibilities: Lead identity security assessments, design workshops, and implementation programs for generative AI and agentic systems Translate business, risk, and platform requirements into target architectures for agent identity, workload identity, delegated access, and lifecycle governance Remain involved in design reviews, policy decisions, configuration or code reviews, and resolution of high-risk issues Develop reusable identity patterns, automation, and delivery methods Manage engagement scope, teams, milestones, quality, and client expectations while coordinating dependencies across AI engineering, data, cloud, network, application security, and operations Shape solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans Coach practitioners on engineering quality
Key requirements: 6+ years of cybersecurity experience with AI engineering experience Consulting experience leading client-facing technology or cyber engagements (scope, teams, timelines, quality reviews, executive communication) Architecting and leading production generative AI/agentic implementations across models, orchestration, identity, data, and infrastructure Experience with identity security patterns & cloud IAM/IGA/PAM/CIEM/secrets management/API security in AWS, Azure, GCP Experience architecting/implementing non-human/workload identity, delegated authorization, secrets, PAM controls; using OAuth 2.0/2.1, OIDC, token exchange, PKI, mTLS, RBAC/ABAC Identity integrations and policy automation using Python, TypeScript, Java, and/or Go with APIs, JSON or YAML; Git and CI/CD Travel 20–50% Bachelor’s Degree in Computer Science, Engineering, Information Technology, Cybersecurity or related field Limited immigration sponsorship may be available Independent work style with teamwork Effective written and verbal communication Meticulous attention to detail and quality Identity security patterns and cloud IAM/IGA/PAM/CIEM Secrets management and API security technologies in AWS, Azure, and/or GCP OAuth 2.0/2.1, OpenID Connect, token exchange, PKI, mTLS, RBAC/ABAC

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