About this role
Job title: Engineering Manager
About the Role As an Engineering Manager in Deloitte Cyber’s Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. Recruiting for this role ends on 12/31/2026.
What You'll Do
- Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
- Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
- Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
- Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
- Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices
What We're Looking For
- 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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; or equivalent demonstrated experience
- 7+ years experience in one or more Digital Trust & Privacy domains such as IGA, WAM, PAM, PKI, Directories, or Data Protection
- 5+ years translating client requirements into target-state solution architectures using REST APIs, microservices, event-driven architectures, or serverless components
- 5+ years building and deploying production-grade solutions using Python, Java, or Node.js
- 2+ years delivering solutions on AWS, Microsoft Azure, or Google Cloud Platform, including containers, CI/CD pipelines, and version control tools
- 6 months to 1 year of experience designing or deploying generative AI or large language model solutions in a client or production environment
- Ability to travel 25-50%
- Limited immigration sponsorship may be available
Nice to Have
- Front-end / full-stack breadth — JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools
- Industry depth in a regulated vertical (financial services, etc.)