Capgemini Invent- Digital Engineering - 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.

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.

As a Consultant, Digital Engineering
, you will support clients in defining and executing Digital Engineering transformation initiatives that improve engineering effectiveness, product development, and operational performance. Working closely with client stakeholders and cross-functional Capgemini teams, you will analyze business and engineering challenges, develop strategic recommendations, and support implementation of innovative solutions across the engineering value chain.

You will contribute to engagements involving engineering transformation, systems engineering, product lifecycle management, model-based engineering, and digital continuity initiatives, while leveraging AI-enabled ways of working to enhance analysis, research, solution development, and client outcomes.

• 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.

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…