JOB TITLE : Industry X - Engineering Consulting Manager

“This role can sit anywhere in the US as long as it is near an Accenture Corporate Office”

WHO WE ARE:

We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise , and insight clients depend on. Visit us here to find out more about Industry X.0 (https://www.accenture.com/us-en/services/digital-engineering-manufacturing)  

THE PRACTICE:

This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Consulting capability.

Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients’ product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results.

Engineering Consultants define and design the end-state product engineering organizational, operational, and technical models to enable modernization of core engineering functions and the ability to start introducing software, analytics, and cloud into the products.

THE WORK:

You will support our clients across a broad range of industries to address their issues related to:

• Engineering transformations optimizing organization structure, new product development process, R&D spend and product lifecycle management systems

• Zero base product cost management through value analysis, value engineering and Design to Value assessments

• Product Strategies including Product as a Service, Platform Ecosystems and Sustainable Products

• Innovation Management and Product Portfolio Optimization balancing voice of customer and cost to serve

• Digitizing Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.

  You will spot, isolate, and solve engineering problems using your skills in:

• Advanced analytics – Return on R&D costs, Product Cost, Business case models

• Should-cost modelling – Direct / COGS (incl. metals, plastics, electronics etc.)

• Operating model architecture – people, process technology

  You will also, throughout your work, have opportunities to:

• Lead small to medium sized teams (2-5), with diverse backgrounds skills and knowledge

• Effectively manage and coach others, collaborating with internal and external parties

• Support client sales origination and thought leadership development

• Challenge legacy ways of working using constructive techniques that fuel client growth

• Drive a positive impact in the communities where we work and live

  Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

  Here’s What You Need:

• Bachelor's degree or equivalent (minimum 6 years) work experience. (If associate degree, must have minimum 12 years of work experience).

• Minimum of 5 years of experience working on engineering improvement initiatives

• Minimum 5 years of Top Tier Consulting experience

• Minimum of 3 years of experience within CPG (Consumer Packaged Goods) Industry

  Bonus Points if you have:

• Experience related to new technology (Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.)

• Ability to support both client sales origination and project delivery

• Ability to effectively manage and coach others

• A collaborative mindset, are a team player

• Proven ability to work creatively and analytically in a problem-solving environment

• Excellent leadership, management, and relationship building skills

• Master's degree in engineering, business or related field

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $94,400 to $266,300

Colorado $94,400 to $230,000

District of Columbia $100,500 to $245,000

Illinois $87,400 to $230,000

Minnesota $94,400 to $230,000

Maryland $87,400 to $213,000

New York $87,400 to $266,300

Washington $100,500 to $245,000

#LI-NA-FY25

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Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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