Supply Chain ALM Software Engineer Senior Consultant

Deloitte • Jersey City, NJ

2d • $116,200 - $229,100

About The Position

The Software & ALM Senior Consultant delivers hands-on work building AI-enabled software and systems engineering lifecycle workflows—including requirements, testing, change, and release—in clients’ systems of record. The role is expected to contribute quickly and own modules end-to-end, such as requirements-to-test workflows, traceability domains, or change-impact use cases. The consultant works directly with engineers to validate that generated artifacts are correct, complete, and traceable.

The role is part of Deloitte’s Supply Chain & Network Operations offering, which advises, implements, and operates transformational solutions for clients. The team combines operational expertise, digital technologies, advanced analytics, and industry-specific solutions to improve supply chain efficiency, flexibility, responsiveness, and value-chain performance. The position may require travel up to 50%, depending on client and industry needs. Recruiting for this role ends on February 14, 2027.

Requirements

• At least 5 years of consulting or industry-related experience.
• At least 3 years of experience in software engineering, systems engineering, embedded engineering, DevOps/CI-CD, or test engineering in industry and/or consulting.
• Hands-on experience in at least one of the following: a major ALM/requirements platform and its data model, workflows, and traceability; requirements and/or test engineering; integration across ALM/PLM/CI-CD tools via APIs; or Python-based LLM/RAG application work involving retrieval and evaluation/validation.
• Bachelor’s degree.
• Ability to travel up to 50%, based on the work performed and the clients and industries or sectors served.
• Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills, strong interpersonal skills, and a professional demeanor.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams, manage and prioritize multiple tasks in a fast-paced environment, meet deadlines, and mentor and provide clear guidance to others.

Nice To Haves

• Has shipped or supported something real in production.
• Experience with ALM–PLM and ALM–CI/CD integration patterns and operating model considerations, including approvals, auditability, and change control.
• Experience designing and implementing end-to-end traceability across requirements, design, code, test, and release, including links to hardware or product data in PLM.
• Familiarity with release pipelines and with where AI-enabled steps function as assistive automation versus gated controls.
• Experience evaluating AI-generated requirements, tests, and/or code, including defining acceptance criteria and reviewer evidence.
• Awareness of regulated or safety-critical standards and processes, such as ASPICE, ISO 26262, or IEC 62304.
• Exposure to software variant, feature, or release management; MBSE concepts; cloud AI/ML certification; or regulated documentation environments.
• Prior consulting experience.

Responsibilities

• Configure and model requirements, test, and change artifacts and their traceability relationships in the ALM system of record.
• Build AI-enabled workflows for requirements quality checks, conflict and gap detection, test generation from requirements, and change-impact analysis.
• Build integrations across ALM, PLM, and CI/CD APIs so AI-enabled steps operate against systems of record with approvals and auditability.
• Develop evaluation approaches and harnesses to measure whether generated requirements and tests are correct, complete, and traceable.
• Build and test retrieval and agent workflows, including defining where human review or approval is required.
• Use GenAI-enabled methods to extract and structure requirements and engineering artifacts from documents, and validate outputs with expert engineers.
• Maintain traceability from outputs to requirements and sources; document assumptions, owners, and versions to support governance and reuse.
• Support deployment by partnering with architects and platform teams; prepare client-ready deliverables, demonstrations, and concise storylines.
• Work independently and collaboratively, lead projects or workstreams, manage priorities and deadlines, and mentor and guide others.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and individual and organizational performance.
• Opportunities to build new skills, take on leadership opportunities, and grow through mentorship and on-the-job learning or formal development programs.

What This Job Offers

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