Capgemini Invent - Strategy Architect Digital Manufacturing - Managing Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

As AI reshapes how organizations operate, compete, and create value, we are evolving our consulting model to be AI-enabled by design — augmenting human judgment with analytics, automation, and generative AI. Our Enterprise Transformation team is looking for consultants who are not only strong problem solvers, but who are excited to work differently in an AI-first world: curious, adaptable, and ready to help clients reimagine how work gets done.

Our Smart Plant group within Capgemini Invent redefines the industrial site, including all underlaying operations, processes, and technologies. We transform manufacturing through advisory, expertise, consulting and digital, bringing first-hand experience in manufacturing coupled with forward-looking know-how.

As a Mr /Sr. Mgr Strategy Architect in Digital Manufacturing as part of our Capgemini Invent's Intelligent Industry practice, you will play a key role in designing innovative and scale strategies in next-generation manufacturing solutions for our clients.

This position requires a leader who takes global manufacturers into next-generation manufacturing, innovating the operations with strategies for scaling, adoption, change management, greenfield factories, and transforming systems. The ideal candidate brings thought leadership in manufacturing with broad industry exposure and a pragmatic, holistic approach to transformation programs.

You will:

• Lead sales, business development, and consulting initiatives for intelligent manufacturing solutions.
• Develop and execute strategies and innovation programs, working closely with clients and partners to identify, solution, and deliver impactful projects.
• Oversee project delivery, ensuring high-quality outcomes and client satisfaction.
• Mentor and guide consulting teams, fostering a culture of innovation and continuous improvement.
• Be an expert and a visionary in manufacturing.
• Engage with Manufacturing, Engineering, Quality, Operations, IT, and OT teams to understand current and future-state processes
• Bridge the shopfloor and enterprise by connecting OT, manufacturing systems, AI, and IT platforms.
• Evaluate manufacturing technologies and platforms and provide recommendations aligned to business and operational needs
• Identify opportunities to standardize, optimize, automate, and digitally enable manufacturing processes
• Support business development efforts by contributing to proposals, solutioning, and technical presentations.

Qualifications & Experience

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Required Experience

• • Bachelor’s degree in Engineering or related field. An MBA from an accredited institution would be a great advantage.
  • 8–15 years in go-to-market sales, business development, consulting, program management, or strategy roles focused on manufacturing operations, or digital transformation.
  • Experience enabling large transformation programs within manufacturing, dark factory/touchless manufacturing enablers, AI approaches and manufacturing enablement using AI solutions.
  • Proven ability to lead projects and deliver solutions in complex, client-facing environments.
  • Exposure to multiple industries, with a strong foundation in manufacturing.
  • Excellent communication and ability to develop impactful presentations.
  • Fluent with AI, data analytics and software platforms manufacturing systems.
  • Experience in selling and managing multiple capabilities within Industry 4.0.
  • Experience developing value propositions, proposals, managing contract execution, financial project delivery.
  • Exposure to manufacturing systems with enterprise applications and shopfloor technologies.
  • Experience working with engineering, quality, operations, corporate, IT, and site functions.
  • Strong problem-solving, communication, architecture, and stakeholder-management skills.

Nice To Have Experience

• • Experience in consulting or services leadership roles within industry, technology or service manufacturing firms.
  • Experience working in factories or with manufacturing end-users.
  • Track record of thought leadership demonstrated through public speaking, white papers, or industry publications.
  • Experience in life sciences, automotive/EV, or other complex manufacturing environments

The base compensation range for this role in the posted location is: 105,600 - 190,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.