Capgemini Invent- Digital Engineering - Consultant
About The Position
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. 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 teams are 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. Capgemini's Digital Continuity team partners with clients to transform Engineering and R&D capabilities across the value chain, spanning sales and marketing, R&D, engineering, manufacturing, operations, and aftersales. We help organizations improve competitiveness, strengthen engineering performance, accelerate innovation, and enable data-driven decision making through Digital Engineering transformation.
Requirements
- 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.
- 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 (MBE), Digital Twin, and Digital Thread concepts and associated technology ecosystems.
- Experience conducting 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 leverage AI and Generative AI tools to improve delivery effectiveness, research, analysis, and transformation outcomes.
- Ability to work collaboratively across business, engineering, technology, data, and design teams within a consulting environment.
- Bachelor's degree in Engineering, Computer Science, Systems Engineering, Industrial Engineering, Aerospace Engineering, or a related discipline; advanced degrees are a plus.
Nice To Haves
- Aerospace & Defense industry experience across engineering, product development, manufacturing, systems engineering, or sustainment environments.
- Exposure to leading engineering and enterprise platforms such as Siemens Teamcenter, Dassault 3DEXPERIENCE, PTC Windchill, SAP, Oracle, Cameo, or comparable technologies.
- 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 transformation initiatives within organizations.
- Conduct analyses of client processes, operating models, engineering workflows, data, and technology landscapes to identify opportunities for improvement and value creation.
- Contribute to client initiatives involving PLM, MOM/MES, ERP, MBSE, Model-Based Enterprise (MBE), 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.
- Leverage AI and Generative AI capabilities to improve research, analysis, solution development, and client delivery while supporting responsible AI adoption and governance.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
