Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

Experteer Overview As a Senior Consultant in Deloitte Cyber’s Digital Trust & Privacy practice, you help clients tackle identity, access, and data protection challenges with AI-enabled engineering. You will blend client engagement with hands-on delivery, shaping production-grade solutions and reusable accelerators. You’ll lead teams, guide pursuits, and drive high-quality outcomes that support client resilience and trust. This role offers meaningful impact through AI-driven cyber services and cross-functional collaboration. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture and delivery goals * Lead design, integration, deployment, and operation of production-grade solutions, including troubleshooting * Shape technical solutions during pursuits via demos, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery across scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor’s degree in Computer Science, Engineering, IT, Cybersecurity, or related field; or equivalent demonstrated experience * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating client requirements into target-state architectures using APIs, microservices, event-driven or serverless designs * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/large language model solutions * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

and improvement * Build team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor’s degree in Computer Science, Engineering, IT, Cybersecurity, or related field; or equivalent demonstrated experience * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating client requirements into target-state architectures using APIs, microservices, event-driven or serverless designs * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/large language model solutions * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *