Industrial Technology Senior Consultant

Deloitte is defining the digital landscape. We are pioneering a new model for a new digital world. Do you like to challenge the status quo? Does curiosity feed your soul? Are you addicted to the thrill of creating? Do you want to be your authentic self at work? Then consider a career within our Supply Chain and Network Operations practice. Creative design, state-of-the-art technology, and your imagination merge here to create lasting impact for our clients. Not to mention make for a pretty fun and meaningful career!

Recruiting for this role ends on 1/31/2027

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.

Work you'll do

Industry-leading clients. An award-winning culture. Top notch connections. Big opportunities. At Deloitte, you'll work with the best in the business to solve the toughest problems in business. From learning to leadership, this is your chance to take your career to the next level.

You will help manufacturing and supply chain clients design, build, and scale technology-enabled solutions that improve safety, quality, throughput, asset reliability, and workforce effectiveness. You will lead and support day-to-day workstreams across assessment, proof-of-concept (PoC), pilot, and implementation engagements spanning a range of industries and sectors.

Working with client teams and Deloitte practitioners across the end-to-end supply chain, including operations, engineering, and human capital, you will translate operational challenges into practical, scalable solutions. Candidates should be comfortable working in plants, factories, and warehouses, and able to communicate effectively with business leaders, plant management, software and controls engineers, IT, data scientists, and frontline operators.

• Support defined client workstreams to assess end-to-end supply chain and manufacturing operations, identify improvement opportunities across plants, networks, and functions, and shape technology-enabled strategies, roadmaps, and business cases that connect operational priorities to enterprise outcomes.

• Identify and assess high-value use cases, such as quality and yield improvement, throughput and OEE optimization, asset reliability, automation, including where applied AI and advanced analytics can drive measurable impact. Support development of value hypotheses and requirements.

• Translate operational requirements into functional and technical solution designs, collaborating with architects and engineering specialists across data integration, plant systems and historian connectivity, analytics and machine learning models, simulation, user-facing applications, and workflows.

• Drive the day-to-day delivery of PoCs, 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 activities; synthesize findings into clear recommendations, implementation plans, and executive-ready deliverables.

• Lead and mentor Analysts, Consultants, and cross-functional delivery teams, contribute to team knowledge-sharing, and help build repeatable methods, accelerators, and market-facing capabilities.

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 complex projects
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• A bility to meet deadlines
• Ability to mentor and provide clear guidance to others

Qualifications

Required

• Bachelor's degree or equivalent practical experience.

• 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 domains:

o Industrial analytics and data platforms (e.g., data integration across historians and plant systems, KPI and OEE reporting, data quality and governance)

o Applied AI/ML for operations (e.g., predictive and anomaly detection models, automated fault detection, generative AI and LLM-enabled operator tools)

o Simulation, digital twins, physics-based modeling for factories, lines, cells, warehousing, and logistics (e.g., discrete event, physics, MILP)

o Automation and controls engineering (e.g., PLC programming, industrial robotics, machine vision, closed-loop control, commissioning and start-up)

o Software product development and delivery in an industrial setting (e.g., product lifecycle ownership, agile roadmaps, CI/CD, cloud deployment)

o Manufacturing and supply chain domain experience in areas such as discrete or process manufacturing, quality systems, maintenance and reliability, material flow and intralogistics, warehouse operations, plant OT/IT constraints, safety, and compliance.

• 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

• Manufacturing and supply chain technology exposure in areas such as sensing and IIoT connectivity, data historians, process and product optimization, automation and process control, material handling and fleet operations (e.g., AGVs/AMRs), cloud platforms, machine learning and data science, cybersecurity for OT

• Graduate degree (MS/PhD) in Robotics, Computer Science, Electrical/Mechanical Engineering, Industrial Engineering, Applied Physics, Operations Research, or related field.

• Exposure to MLOps or ModelOps concepts, 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.

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 $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 -

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