Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

Deloitte•Jersey City, NJ

109d•$134,500 - $265,100•Onsite

About The Position

As a Senior Consultant 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.

Requirements

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; alternatively, equivalent demonstrated experience
5+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
3+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
3+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
1+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Nice To Haves

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 (e.g., Claude Code, Codex, Cursor etc.)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.
Kubernetes, GitOps, and advanced cloud-native delivery patterns.
Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.
Relevant certifications — CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt).

Responsibilities

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