Technical Lead Jobs at Deloitte with Visa Sponsorship
Technical Lead jobs at Deloitte span consulting, technology, and managed services practices, with the company maintaining a well-established infrastructure for sponsoring skilled workers in this function. If you're targeting a Technical Lead role here, you're applying to an employer with a clear, structured sponsorship process.
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Get Access To All JobsINTRODUCTION
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.
Work you'll do
As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:
- 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
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 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
THE TEAM
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
QUALIFICATIONS
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 7+ 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
- 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 2+ 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
Preferred:
- 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)
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
INTRODUCTION
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.
Work you'll do
As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:
- 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
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 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
THE TEAM
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
QUALIFICATIONS
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 7+ 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
- 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 2+ 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
Preferred:
- 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)
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See all 32+ Technical Lead Jobs at Deloitte
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Get Access To All JobsTips for Finding Technical Lead Jobs at Deloitte
Align your credentials to Deloitte's specialty occupation standard
Deloitte's Technical Lead roles typically require a bachelor's or higher in computer science, engineering, or a directly related field. If your degree is in a different discipline, document how your coursework and certifications map to the role's technical requirements before you apply.
Target Deloitte's sector-specific technology practices
Deloitte organizes technical work across industry verticals like Government and Public Services, Financial Services, and Health. Applying to a practice that matches your domain experience strengthens your case for both the role and the specialty occupation classification on your petition.
Browse open Technical Lead roles on Migrate Mate
Deloitte lists Technical Lead positions across multiple practice areas and locations. Use Migrate Mate to filter for roles with active sponsorship history so you're focused on positions where the pathway is already established.
Clarify sponsorship type during the offer stage
Deloitte sponsors H-1B, H-1B1 visa, E-3, and employment-based Green Cards. Ask your recruiter which visa category applies to your offer and confirm whether the firm is filing cap-subject or cap-exempt, since some Deloitte entities qualify for university-affiliated exemptions.
Understand how PERM timing affects your Green Card path
For EB-2 or EB-3 sponsorship, Deloitte must complete DOL's PERM labor certification before filing an I-140. This process commonly takes 12 to 18 months, and your priority date determines your place in the queue, so asking about the firm's PERM initiation timeline at the offer stage is practical, not premature.
Prepare for client site requirements in your visa documentation
Many Deloitte Technical Leads work on client-facing engagements, which means your H-1B petition may require end-client letters confirming the work location and duration. Anticipate this requirement so you can coordinate with your hiring team before USCIS filing.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Technical Leads?
Yes, Deloitte sponsors H-1B visas for Technical Lead roles. The company has a dedicated immigration team that manages petitions, including cap-subject filings for new hires and transfers for candidates already in H-1B status. Technical Lead positions typically qualify as specialty occupations under USCIS criteria, given the degree requirements tied to the work.
Which visa types does Deloitte sponsor for Technical Lead roles?
Deloitte sponsors H-1B, H-1B1 visa, and E-3 visas for nonimmigrant work authorization, with the E-3 available exclusively to Australian citizens and the H-1B1 for Chilean and Singaporean nationals. For permanent residence, Deloitte supports EB-2 and EB-3 pathways through DOL's PERM process, followed by an I-140 immigrant petition filed with USCIS.
What qualifications does Deloitte expect for Technical Lead positions?
Deloitte's Technical Lead roles generally require a bachelor's degree in computer science, information systems, engineering, or a closely related field, combined with several years of hands-on technical delivery experience. Roles within specific practices, such as cloud or cybersecurity, often require platform certifications alongside project leadership experience, particularly if you'll be managing client-facing workstreams.
How do I apply for Technical Lead jobs at Deloitte?
You can search for Technical Lead openings directly on Deloitte's careers site or use Migrate Mate to find and filter Deloitte roles by practice area and sponsorship type. When applying, tailor your resume to the specific practice and industry vertical, since Deloitte's hiring teams evaluate both technical depth and sector alignment. Referrals from existing Deloitte staff also move applications through the process faster.
How do I plan my timeline if I need H-1B sponsorship at Deloitte?
If you need a new H-1B, USCIS opens the cap registration window each March for an October 1 start date. If you're selected in the lottery, Deloitte's legal team files your petition in April. Premium processing, which USCIS adjudicates within 15 business days, is available if you need a faster decision. Factor in that cap-subject H-1B status cannot begin before October 1 regardless of when you receive your approval.