US E - Consulting Services - Cyber Digital Trust & Privacy - Cyber for AI - Manager: Identity

As a Manager: AI Security, Identity in Deloitte's Cyber for AI team, you will lead client engagements that secure how AI agents, workloads, and users authenticate, receive permissions, and access enterprise tools and data. You will translate business and risk objectives into target architectures, guide teams from assessment through implementation, and remain directly involved in critical design and engineering decisions. You will also shape solutions during pursuits and help build repeatable delivery assets. Recruiting for this role ends on 05/31/2027. The team Deloitte’s Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk. Within the team, the Identity capability focuses on how agents, workloads, and people are identified, authenticated, authorized, and governed across enterprise and cloud environments. Work you'll do As a Manager: AI Security, Identity on the Identity team, you will be responsible for: Leading identity security assessments, design workshops, and implementation programs for generative AI and agentic systems. Translating business, risk, and platform requirements into target architectures for agent identity, workload identity, delegated access, and lifecycle governance. Remaining directly involved through design reviews, policy and integration decisions, critical configuration or code review, and resolution of high-risk technical issues. Developing reusable identity patterns, automation, and delivery methods. Managing engagement scope, teams, milestones, quality, and client expectations while coordinating identity dependencies across AI engineering, data, cloud, network, application security, and operations teams. Shaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans Coaching practitioners on engineering quality. Qualifications 6+ years of cybersecurity experience, including a year or more of artificial intelligence (AI) engineering experience, Required: Consulting experience leading client-facing technology or cyber engagements including scope, teams, timelines, quality reviews, and executive communication. · Architecting and leading production generative AI and/or agentic implementations across models, orchestration, identity, data, and infrastructure. Experience with identity security patterns & integrating cloud IAM and AI platforms with enterprise identity providers, identity governance and administration (IGA), privileged access management (PAM), cloud infrastructure entitlement management (CIEM), secrets management, and application programming interface (API) security technologies in AWS, Azure, and/or GCP. Experience architecting and implementing non-human identity, workload identity, delegated authorization, secrets, and privileged-access controls; applying OAuth 2.0 or 2.1, OpenID Connect, token exchange, PKI, mTLS, and RBAC/ABAC or relationship-based access control. Experience reviewing or developing identity integrations and policy automation using Python, TypeScript, Java, and/or Go with APIs, JSON or YAML along with Git, and CI/CD practices. Ability to travel 20–50%, on average, based on the work you do and the clients and industries/sectors you serve. Bachelor’s Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field. · Limited immigration sponsorship may be available. Preferred: Experience across managed AI services and self-hosted or open-weight AI platforms. Experience with AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring. Experience building reusable technical assets, delivery methods, or automation for use across client engagements. Experience with machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow. · Experience with agent-focused identity capabilities, including Microsoft Entra Agent ID or Model Context Protocol (MCP) authorization, or with policy engines, identity graphs, or authorization platforms such as Open Policy Agent (OPA), Cedar, OpenFGA, or Neo4j. Credentials (preferred): Certified Information Systems Security Professional (CISSP) Certified Cloud Security Professional (CCSP) Cloud certifications from Azure, AWS, Google Cloud. Identity certifications from Okta, Ping, SailPoint, Saviynt, or CyberArk. A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $134,500 to $265,100. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.