Capgemini Invent- Digital Engineering - Consultant

Capgemini • Atlanta, GA

18d • $72,000 - $136,000

About The Position

Capgemini Invent is hiring a Consultant, Digital Engineering, to support clients in defining and executing Digital Engineering transformations that improve engineering effectiveness, product development, and operational performance. The role works closely with client stakeholders and cross-functional Capgemini teams to analyze business and engineering challenges, develop strategic recommendations, and support implementation of solutions across the engineering value chain.

The consultant will contribute to engineering transformation, systems engineering, product lifecycle management, model-based engineering, and digital continuity initiatives. The work spans client processes, operating models, engineering workflows, data, and technology landscapes, and may involve PLM, MOM/MES, ERP, MBSE, Model-Based Enterprise, Digital Twins, Digital Threads, and engineering software ecosystems. AI-enabled ways of working are used to enhance research, analysis, solution development, and client outcomes, with attention to responsible AI adoption and governance.

Capgemini describes itself as a global business and technology transformation partner with 340,000 team members in more than 50 countries. The position offers a base compensation range of $72,000–$136,000. Regular, full-time employees receive a comprehensive benefits package, subject to local policy and eligibility.

Requirements

• At least 3 years of consulting and/or industry experience in Digital Engineering, Aerospace & Defense, Engineering & R&D, Manufacturing, or related industrial sectors.
• Experience supporting engineering transformation, systems engineering, product development, software engineering, or digital transformation initiatives with measurable business outcomes.
• Working knowledge of PLM, MOM/MES, ERP, MBSE, Model-Based Enterprise, Digital Twin, and Digital Thread concepts and associated technology ecosystems.
• Experience with business analysis, process assessments, stakeholder interviews, workshop facilitation, and development of strategic recommendations.
• Strong analytical, problem-solving, communication, and stakeholder management skills, including experience preparing executive-level presentations and client deliverables.
• Demonstrated ability to use AI and Generative AI tools to improve delivery effectiveness, research, analysis, and transformation outcomes.
• Ability to collaborate across business, engineering, technology, data, and design teams in a consulting environment.
• Bachelor’s degree in Engineering, Computer Science, Systems Engineering, Industrial Engineering, Aerospace Engineering, or a related discipline.
• Strong AI literacy, including knowledge of core AI and Generative AI concepts and their enterprise transformation applications.
• Experience working in AI-augmented ways to enhance research, analysis, and solution development; ability to identify and support AI-enabled opportunities.
• 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 in client environments.

Nice To Haves

• Advanced degree.
• Aerospace & Defense industry experience across engineering, product development, manufacturing, systems engineering, or sustainment environments.
• Exposure to Siemens Teamcenter, Dassault 3DEXPERIENCE, PTC Windchill, SAP, Oracle, Cameo, or comparable platforms.
• Familiarity with Agile, Systems Engineering, Product Lifecycle Management, and Digital Transformation methodologies.
• Interest in emerging technologies including AI/GenAI, Digital Twins, Digital Threads, and Model-Based Engineering.

Responsibilities

• Support consulting engagements focused on Digital Engineering, Engineering & R&D, and organizational transformation initiatives.
• Analyze client processes, operating models, engineering workflows, data, and technology landscapes to identify improvement and value-creation opportunities.
• Contribute to client initiatives involving PLM, MOM/MES, ERP, MBSE, Model-Based Enterprise, Digital Twins, Digital Threads, and engineering software ecosystems.
• Facilitate workshops, gather requirements, perform process assessments, develop business cases, and translate technical findings into actionable business recommendations.
• Use AI and Generative AI capabilities to improve research, analysis, solution development, and client delivery while supporting responsible AI adoption and governance.
• Collaborate with client stakeholders and cross-functional teams spanning business, engineering, technology, data, and design.

Benefits

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

What This Job Offers

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