Capgemini Invent - Strategy Architect Digital Manufacturing - Managing Consultant

Capgemini • Chicago, NY

4d • $105,600 - $190,000

About The Position

Capgemini Invent is seeking a Strategy Architect in Digital Manufacturing for its Intelligent Industry practice and Smart Plant group. The role focuses on designing scalable strategies and next-generation manufacturing solutions for global manufacturers, including operations innovation, adoption, change management, greenfield factories, and systems transformation. The position combines manufacturing thought leadership and broad industry exposure with a pragmatic, holistic approach to transformation programs.

The consultant leads sales, business development, and consulting initiatives for intelligent manufacturing solutions; develops strategies and innovation programs with clients and partners; and oversees project delivery and client satisfaction. The role also mentors consulting teams and works across manufacturing, engineering, quality, operations, IT, and OT to understand current and future-state processes. It bridges shopfloor and enterprise technologies by connecting OT, manufacturing systems, AI, and IT platforms; evaluates manufacturing technologies; and identifies ways to standardize, optimize, automate, and digitally enable manufacturing processes. The position supports proposals, solution development, and technical presentations.

The role is designed for an AI-enabled consulting environment. The successful candidate applies AI literacy and AI-augmented ways of working to research, analysis, solution development, and enterprise transformation, while collaborating across strategy, technology, data, and design and considering responsible AI principles such as ethics, privacy, security, and governance.

The posted base compensation range is $105,600–$190,000. Additional compensation such as variable incentives, bonuses, or commissions may be available depending on the position and applicable laws. Capgemini offers regular, full-time employees a benefits package that may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• Bachelor’s degree in Engineering or a related field.
• 8–15 years of experience in go-to-market sales, business development, consulting, program management, or strategy roles focused on manufacturing operations or digital transformation.
• Experience enabling large manufacturing transformation programs, dark factory or touchless manufacturing enablers, and manufacturing enablement using AI approaches and solutions.
• Proven ability to lead projects and deliver solutions in complex, client-facing environments.
• Exposure to multiple industries and a strong foundation in manufacturing.
• Excellent communication skills and ability to develop impactful presentations.
• Fluency with AI, data analytics, software platforms, and manufacturing systems.
• Experience selling and managing multiple Industry 4.0 capabilities.
• Experience developing value propositions and proposals, managing contract execution, and delivering projects financially.
• Exposure to manufacturing systems, 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.
• Strong AI literacy, including core AI and generative AI concepts and their application to enterprise transformation.
• Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI-augmented ways to enhance research, analysis, and solution development.
• Understanding of responsible AI principles, including ethics, privacy, security, and governance.
• Curiosity and a continuous-learning mindset regarding emerging AI capabilities and their practical application.

Nice To Haves

• MBA from an accredited institution.
• Experience in consulting or services leadership roles within industry, technology, or service manufacturing firms.
• Experience working in factories or with manufacturing end-users.
• Thought leadership demonstrated through public speaking, white papers, or industry publications.
• Experience in life sciences, automotive/EV, or other complex manufacturing environments.

Responsibilities

• Lead sales, business development, and consulting initiatives for intelligent manufacturing solutions.
• Develop and execute strategies and innovation programs with clients and partners to identify, solution, and deliver impactful projects.
• Oversee project delivery to ensure high-quality outcomes and client satisfaction.
• Mentor and guide consulting teams, fostering innovation and continuous improvement.
• Engage with manufacturing, engineering, quality, operations, IT, and OT teams to understand current- and future-state processes.
• Bridge shopfloor and enterprise environments by connecting OT, manufacturing systems, AI, and IT platforms.
• Evaluate manufacturing technologies and platforms and recommend options aligned with business and operational needs.
• Identify opportunities to standardize, optimize, automate, and digitally enable manufacturing processes.
• Contribute to proposals, solutioning, and technical presentations to support business development.
• Apply AI-enabled and AI-augmented approaches to research, analysis, solution development, and enterprise transformation.
• Collaborate across strategy, technology, data, and design to enable AI-driven solutions.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
• Medical coverage or provincial healthcare coordination in Canada, subject to local policy and eligibility.
• Dental coverage, subject to local policy and eligibility.
• Vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada, subject to local policy and eligibility.
• Life insurance.
• Disability insurance.
• Employee assistance programs.
• May be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

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