Cyber Identity - FDE Engineering Manager

Experteer Overview In this Engineering Manager role within Deloitte’s Digital Trust & Privacy team, you translate client needs into AI-enabled, production-grade solutions and lead hands-on delivery. You’ll steer architecture, build reusable accelerators, and drive high-quality outcomes for clients and teams. You’ll work at the intersection of client engagement and delivery, shaping pursuits and ensuring resilient, compliant identity and data protection solutions. This is a tech-and-people leadership role in a fast-paced, growth-focused practice. Compensation / Benefits * Translate client business needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits via demonstrations, PoCs, prototypes, effort estimates, and pricing inputs * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team and client capability through reusable accelerators, documentation, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating client requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in client/production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

within drive continuous improvement * Build team and client capability through reusable accelerators, documentation, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating client requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in client/production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *