Lead a workstream team of four or more practitioners across onshore and offshore delivery through knowledge discovery, modeling, build, testing, deployment, and coaching of Senior Consultants.
Facilitate knowledge capture with senior engineers through interviews, decision replay of historical cases, and rule extraction to preserve engineering judgment before automation; define deterministic rules and constraints versus artificial intelligence agent reasoning with human-in-the-loop approvals; and design knowledge models—including rules, parameters, constraints, ontologies, and taxonomies—with solution and technical architects.
Direct design automation and configuration capabilities integrated with engineering data and tools, including Computer-Aided Design (CAD), Product Lifecycle Management (PLM), and requirements-management tools; define agent roles, tool boundaries, and approval points; and partner with platform teams for deployment.
Establish knowledge governance, including ownership, review and approval, versioning, retirement, and exception-to-knowledge feedback loops; baseline current-state effort, rework, and cycle time; and track value realization from knowledge reuse.
Manage delivery activities, including weekly status reporting; risks, assumptions, issues, and dependencies (RAID); steering committee materials; and workstream financial tracking. Facilitate workshops with engineering stakeholders, drive adoption through pushback and change resistance, and escalate risks, dependencies, and decisions to the Senior Manager and engagement leadership.
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.
Qualifications
Required
8+ years of experience in software engineering, systems engineering, digital engineering, embedded/automation, engineering data, or engineering transformation (industry and/or consulting), including 5+ years leading a team/workstream.
3+ years of experience in rule-based, knowledge-based, configurator, or design automation solutioning into production.
4+ years of experience in one or more of the following: rule/constraint modeling, parametric/template-driven design, engineering calculation automation, configurators, or knowledge modeling.
Bachelor’s Degree
You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
Ability to travel up to 50%, on average, 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
Experience with ontologies, taxonomies, knowledge graphs, and structured models linking rules to requirements, parts/variants, suppliers, and bill of materials (BOM) structures.
Experience in software and systems engineering environments, including application lifecycle management (ALM) and product lifecycle management (PLM), and rule engines tied to product structures and variant logic.
Experience using generative artificial intelligence (GenAI) to extract and structure knowledge from documents and past decisions, validated with expert engineers through source-grounded, traceable outputs.
Experience combining deterministic rules with large language model (LLM) reasoning, including clear criteria for when agents must defer to rules versus require approval.
Experience orchestrating agent workflows on a major cloud platform, including human approval steps, memory, and evaluation.
Knowledge governance experience (rule ownership, change control, versioning, and curator/steward roles); mechanical, electrical, or systems design background; Model-Based Systems Engineering (MBSE) exposure; or offshore delivery 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 current range is $141,200 to $278,300.
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
SCNOFY27
