Cyber Full Stack Manager

As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical delivery. You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory requirements into scalable, production-grade technology solutions.

Full Stack Engineers work directly in client environments to architect, build, integrate, deploy, and improve solutions. Depending on the engagement, you may develop trust and safety capabilities, implement product compliance controls, operationalize privacy-by-design practices, build governance for generative or agentic AI, or deploy data protection and cryptographic solutions. These capabilities support Deloitte's broader Digital Trust & Privacy mission: helping organizations build confidence in their digital products, platforms, services, data practices, and customer interactions.

This role is designed for a technically strong consultant who can move from ambiguity to implementation, collaborate with product and engineering teams, and communicate effectively with business, security, privacy, legal, and compliance stakeholders.

Recruiting for this role ends on 12/31/2026.

As a Manager, Strategy, Growth and Transformation on the Digital Trust & Privacy team, you will be responsible for:

• Translating client business objectives, risk requirements, and policy expectations into technical architectures, product requirements, engineering backlogs, and implementation plans
• Leading the design, development, integration, deployment, testing, and troubleshooting of production-grade solutions within client environments, including artificial intelligence (AI) and generative AI (GenAI)-enabled capabilities, technical guardrails, and data protection integrations
• Building application programming interfaces (APIs), automations, workflows, integrations, dashboards, and other technical components, while embedding governance into development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
• Prototyping and iterating rapidly with clients and internal specialists to validate approaches, shape solution direction, and support pursuits through demonstrations, proofs of concept, estimates, and pricing inputs
• Managing client delivery across scope, timelines, quality, client satisfaction, financials, and continuous improvement, while resolving implementation, integration, data, and deployment challenges
• Leading multidisciplinary teams and building reusable accelerators, documentation, knowledge transfer, and engineering best practices across engagements

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 work streams
• 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

Deloitte Cyber's Digital Trust & Privacy practice helps organizations build and sustain confidence in their digital products, platforms, services, data practices, and customer experiences. Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities.

The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities into practical solutions. We work alongside client product, engineering, security, privacy, data, risk, compliance, and business teams to move from strategy and policy to implementation and measurable outcomes.

Our work may include:

• Helping digital platforms improve trust and safety and address online harms
• Enabling product teams to meet privacy and product compliance expectations
• Building technical governance and guardrails for generative and agentic AI
• Protecting sensitive data across cloud, collaboration, application, and enterprise environments
• Implementing data discovery, classification, data loss prevention (DLP), encryption, public key infrastructure (PKI), and related cryptographic…