Senior Consultant Knowledge Based Supply Chain Engineering

We are a team of strategic advisors, architects, and implementers who drive business transformations. Our diverse talent energizes clients' business functions and technology to maximize value in Supply Chain enhancing their ability to fulfill their growth and efficiency ambitions. Imagine working with world-class supply network capabilities like Smart Factory, Strategy & Innovation, Supply Chain Responsiveness, Sourcing & Procurement, or Product Development & Operations!

Are you ready to take your career to new heights? Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions. Don’t miss the chance to be part of a team that provides exceptional client value while advancing your professional journey. Apply now and become a vital part of our innovative and dynamic workforce! Recruiting for this role ends on 2/14/2027 The Work You’ll Do The Knowledge Based Engineer Senior Consultant executes hands-on work to capture engineering knowledge and translate it into governed, machine-executable rules and models used by engineers and AI-enabled workflows. This role is expected to be productive quickly, owning modules end-to-end (e.g., a product area rule set or defined knowledge domain), working directly with senior engineers, and building, testing, and documenting reusable knowledge assets.

• Facilitate knowledge capture with senior engineers (interviews, decision replay on past cases, rule extraction) and translate judgment into executable knowledge assets.
• Use GenAI-enabled methods to extract and structure knowledge from documents and prior decisions; validate outputs with expert engineers.
• Model rules, parameters, and constraints into a structured knowledge model linked to requirements, parts/variants, and supplier/product data as applicable.
• Build design/calculation automation or configuration logic integrated with engineering systems (e.g., CAD, PLM, requirements repositories).
• Build and test retrieval and agent workflows that consume the knowledge layer, including rule deference logic and human approval points.
• Maintain traceability from outputs to source/rule; document assumptions, owners, and versions to support governance and reuse.
• Capture exceptions and approved fixes and feed them back into the knowledge base (continuous improvement loop).
• Support deployment by partnering with architects/platform teams; draft client-ready deliverables, demos, and concise storylines.

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 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

The team Our team helps clients transform their value chains into competitive advantages. We drive efficiency, improve flexibility, and increase responsiveness through proactive insights and decision-making. We advise, implement, and operate transformational solutions that bring world-class supply network and operational capabilities to our clients. We provide operational know-how, digital technologies, advanced analytics, and industry-specific hybrid solutions to deliver unprecedented client value. Additionally, we improve operations, product, and material flow across the breadth of the value chain and create greater supply network synergy and value. Required Qualifications

• 5+ years of consulting or industry related experience
• 3+ years in embedded, automation, data, or digital engineering
• Software or systems engineering background
• Experience in one of the following:
• Rule/constraint modeling; design or calculation automation; parametric/template-driven design; configurators, or
• Knowledge modeling (ontologies/taxonomies/knowledge graphs or structured engineering data models), or
• Python-based LLM/RAG application work (retrieval + evaluation/validation)
• Bachelor’s Degree
• Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications

• Has shipped or supported something real in production
• Mechanical, electrical, or systems design background
• Model-based systems engineering or simulation exposure
• Cloud AI/ML certification
• Regulated documentation exposure
• Prior Consulting experience

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 range is $116,200-$229,100. 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. Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html