Supply Chain ALM Software Engineer Manager

Deloitte • Jersey City, NJ

2d • $141,200 - $278,300

About The Position

The Supply Chain ALM Software Engineer Manager leads a client workstream to redesign the software and systems engineering lifecycle—including requirements, architecture, development, testing, change, and release—into governed, AI-enabled work. The role combines automation for common cases, AI or agents for exceptions, and engineer approval, integrating with enterprise ALM, PLM, and CI/CD systems of record while establishing traceability, review, and change control for AI-generated artifacts.

As part of Deloitte’s US Supply Chain & Network Operations Offering, the role delivers transformational solutions that combine operational expertise, digital technologies, advanced analytics, and industry-specific approaches. The team advises, implements, and operates solutions to improve value-chain efficiency, flexibility, responsiveness, and supply network capabilities.

The manager leads a team of at least four practitioners through discovery, solution design, build, test, and deployment. The role works with engineering leaders to map lifecycle processes and identify friction and root causes; designs AI-enabled workflows; directs tooling integrations; establishes controls and guardrails; tracks value and communicates outcomes; and manages delivery hygiene and workstream financial tracking. The role also coaches Senior Consultants and escalates risks, dependencies, and decisions to Senior Manager or engagement leadership. Travel may be required up to 50%, depending on the work, clients, and industries served.

Requirements

• At least 8 years of experience in software engineering, systems engineering, DevOps/CI-CD, engineering IT, or engineering transformation in industry and/or consulting.
• At least 5 years leading a team or workstream.
• At least 3 years of experience bringing a software, ALM, DevOps/CI-CD, or systems engineering solution into production.
• At least 4 years in one or more of requirements management, test engineering/test automation, change/issue management, or release/CI-CD practices.
• Bachelor’s degree.
• Ability to travel up to 50%, based on the work and clients and industries/sectors served.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• 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 workstreams.
• 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.

Nice To Haves

• Experience with major ALM/requirements platforms and enterprise integrations, including ALM–PLM and ALM–CI/CD.
• Fluency in requirements and systems engineering practices, including quality, decomposition, interfaces, verification planning, and model-based concepts.
• Experience designing traceability across requirements, design, code, test, and release, and linking to hardware/product data in PLM.
• DevOps familiarity, including defining where AI acts as an assistant versus a gated control step in the pipeline.
• Experience with software variant, feature, and release management across product lines.
• Experience setting acceptance criteria and evaluation approaches for AI-generated requirements, tests, and/or code, including human review evidence and thresholds.
• Awareness of safety-critical or regulated software processes and standards such as ASPICE, ISO 26262, and IEC 62304.
• Cloud/AI certification, MBSE exposure, offshore delivery experience, or embedded/software quality background.

Responsibilities

• Lead a team of four or more onshore/offshore practitioners through discovery, solution design, build, test, and deployment.
• Map the current engineering lifecycle with engineering leaders and identify friction, handoffs, rework, waiting, and root causes.
• Design AI-enabled workflows, potentially including requirements quality and conflict checks, requirements-to-test acceleration, change impact analysis across software and hardware, traceability gap detection, test planning, and release readiness.
• Direct integration with ALM, PLM, and CI/CD tooling so AI-enabled steps operate against systems of record with full traceability.
• Define and implement review, approval, and evidence requirements for AI-generated artifacts, keeping work under change control.
• Define agent roles, tool boundaries, guardrails, and approval points; partner with architects and platform teams on deployment.
• Define approaches for managing software variants, features, and releases across products.
• Baseline and track value, including cycle time, rework, and test effort, and communicate outcomes to client stakeholders.
• Manage delivery hygiene, including weekly status, RAID, steering committee materials, and workstream financial tracking.
• Coach Senior Consultants and escalate risks, dependencies, and decisions to Senior Manager or engagement leadership.

Benefits

• Discretionary annual incentive program; any award is subject to program rules and depends on various factors, including individual and organizational performance.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, mentorship, and opportunities to build new skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager