Industrial Technology Senior Consultant

Deloitte • Jersey City, NJ

4d • $116,200 - $229,100

About The Position

Deloitte’s Supply Chain and Network Operations practice helps clients transform value chains through operational expertise, digital technologies, advanced analytics, and industry-specific solutions. The Industrial Technology Senior Consultant helps manufacturing and supply chain clients design, build, and scale technology-enabled solutions to improve safety, quality, throughput, asset reliability, and workforce effectiveness. The role leads and supports day-to-day workstreams through assessments, proofs of concept, pilots, and implementations across industries and sectors.

The consultant works with client teams and Deloitte practitioners across operations, engineering, human capital, and the end-to-end supply chain to translate operational challenges into practical, scalable solutions. The role involves working in plants, factories, and warehouses and communicating with business leaders, plant management, software and controls engineers, IT, data scientists, and frontline operators. Responsibilities also include leading and mentoring team members and contributing to reusable methods, accelerators, and market-facing capabilities. Travel may be up to 50%, depending on the work, clients, and industries served.

Requirements

• Bachelor’s degree or equivalent practical experience.
• At least 4 years of relevant professional experience in manufacturing operations, industrial technology, automation and controls, engineering, analytics, software or AI solution development, or digital transformation.
• Experience in at least one of the following: industrial analytics and data platforms; applied AI/ML for operations; simulation, digital twins, or physics-based modeling; automation and controls engineering; software product development and delivery in an industrial setting; or manufacturing and supply chain operations.
• Ability to travel up to 50%, based on the work and 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, communicate effectively in writing and verbally, and maintain meticulous attention to detail and work quality.
• Ability to build and sustain professional relationships, lead complex projects, manage and prioritize multiple tasks in a fast-paced environment, meet deadlines, and mentor and guide others.

Nice To Haves

• Manufacturing and supply chain technology exposure, including sensing and IIoT connectivity, data historians, process and product optimization, automation and process control, material handling and fleet operations such as AGVs/AMRs, cloud platforms, machine learning and data science, or OT cybersecurity.
• Graduate degree (MS or PhD) in Robotics, Computer Science, Electrical or Mechanical Engineering, Industrial Engineering, Applied Physics, Operations Research, or a related field.
• Exposure to MLOps or ModelOps, including model monitoring, drift detection, incident management, data governance, and human-in-the-loop workflows.
• Experience scaling technology solutions across multiple sites, business units, or operating companies while adapting to differing process requirements.

Responsibilities

• Support client workstreams assessing end-to-end supply chain and manufacturing operations, identifying improvement opportunities across plants, networks, and functions, and shaping technology-enabled strategies, roadmaps, and business cases.
• Identify and assess high-value use cases in quality and yield, throughput and OEE, asset reliability, and automation, including opportunities for applied AI and advanced analytics; support value hypotheses and requirements.
• Translate operational requirements into functional and technical solution designs in collaboration with architects and engineering specialists, covering data integration, plant systems and historian connectivity, analytics and machine learning, simulation, applications, and workflows.
• Drive day-to-day delivery of proofs of concept, pilots, and solution releases, including backlog and sprint prioritization, experiment design, data validation, evaluation metrics, test protocols, issue tracking, and pilot-readout materials.
• Help define operational acceptance criteria and scale-readiness considerations, including reliability, data quality, OT/IT connectivity, cybersecurity, human-in-the-loop processes, model monitoring, and maintenance and support requirements.
• Facilitate client working sessions, plant-floor walkthroughs, and stakeholder interviews; lead user training and adoption; and synthesize findings into recommendations, implementation plans, and executive-ready deliverables.
• Lead and mentor Analysts, Consultants, and cross-functional delivery teams; contribute to knowledge-sharing and build repeatable methods, accelerators, and market-facing capabilities.
• Work independently and collaboratively, communicate effectively, maintain attention to detail and quality, build professional relationships, lead complex projects, prioritize multiple tasks, meet deadlines, and provide clear guidance to others.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and individual and organizational performance.
• Opportunities for on-the-job learning, formal development programs, leadership opportunities, mentorship, and continued professional growth.

What This Job Offers

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