5-8+ years in digital engineering, software delivery, or technology consulting with proven project ownership
Bachelor's degree in Engineering, Information Systems, or a related field
Experience in engineering or R&D transformation programs in Manufacturing, Automotive, or Aerospace & Defense
Strong grasp on MBE, PLM, and MBSE solutions
Knowledge of PLM processes and methodologies
Familiarity with model-based engineering, digital twins, and digital thread
Ability to solve complex problems with structured thinking and data-driven approaches
Strong communication and stakeholder management skills, engaging both technical and business audiences
Responsibilities
Contribute to engineering and digital transformation programs within various industries
Support model-based initiatives including MBE, PLM, and digital twin solutions
Collaborate effectively with teams to deliver engineering transformation projects
Assist in business development through proposal contributions and client presentations
Drive innovation by keeping up with industry trends and tools
Communicate technical concepts to different stakeholder levels clearly and effectively
Leverage data and analytics for engineering performance optimization
Work with senior stakeholders to shape digital roadmaps for clients' engineering organizations
Benefits
Build a strong network across Capgemini Group
Engage in meaningful client proposal development from conception to presentation
Expand and nurture existing account relationships
Uncover potential business opportunities for practice growth
Identify project extension opportunities while engaged in projects
Contribute to thought leadership in AI/Data Science and analytics
Support team member upskilling in Data & Analytics
Full Job Description
Your Role
Seeking a Senior Consultant with hands-on experience supporting Engineering and R&D transformation programs, including PLM, model-based engineering, digital thread, digital twin, and related digital engineering initiatives. This role is ideal for someone who can combine engineering domain knowledge with consulting skills to assess current-state processes, define improvement opportunities, translate technical requirements into business value, and help clients accelerate their Digital Transformation agenda as part of the Intelligent Industry team.
Your Role
Contribute to engineering and digital transformation programs across Engineering and R&D functions, particularly within Manufacturing, Automotive, and Aerospace & Defense environments
Support delivery of model-based initiatives, including Model-Based Engineering (MBE), Model-Based Enterprise (MBE), PLM, MBSE, digital twins, and digital thread solutions
Collaborate as a team player to successfully execute engineering transformation projects for clients
Support new business development efforts by contributing to proposals, client presentations, and contract pursuits
Drive innovation in products and technologies by staying current with industry trends, tools, and advancements
Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
Use data, analytics, and AI-enabled insights to optimize engineering performance and support intelligent decision-making
Collaborate with senior stakeholders to shape digital roadmaps and define future-state operating models for engineering organizations
Travel up to ~50% on average, including onsite work at client locations as required
Qualifications and Experience
Must Have
5-8+ years of experience in digital engineering, software delivery, or technology consulting, with a track record of owning and delivering workstreams
Bachelor's degree in engineering (Mechanical, Electrical/Electronics, Aerospace, Computer Science), Information Systems, or related field
Experience in transformation programs within Engineering or R&D, for Manufacturing, Automotive or A&D
Strong understanding of the value driven by MBE, PLM, MBSE solutions/approach
Understanding of the PLM processes
Experience around model-based engineering, model-based enterprise, digital twins, digital thread areas
Proven ability to solve complex business problems using structured thinking, data, and technology-enabled approaches
Excellent stakeholder management and communication skills, with experience interfacing with both technical and business audiences
Nice to Have
MBA or equivalent advanced degree (preferred)
Exposure to AI/GenAI use cases in software engineering, such as code generation, intelligent automation, or predictive analytics
Experience in consulting or advisory roles, including client-facing delivery and proposal development
Familiarity with industry-specific digital engineering trends (e.g., platform ecosystems, product-centric delivery models)
Contributions to thought leadership (white papers, internal assets, accelerators) or engineering innovation initiatives
What You'll Love About Working Here?
You'll have the opportunity to:
Build a network within the Capgemini Group and contribute to the education of other Business Units around practice offerings to support existing account expansion
Play a significant role in client proposals and RFI/RFP responses from initial brief to final sales presentations
Nurture and expand existing account relationships
Identify potential personal business relationships that can be leveraged by the practice to develop new business
Identify potential project extension and expansion opportunities while staffed on projects
Support the development of thought leadership and innovative offerings as they relate to AI/Data Science, Digital Customer Analytics, and Operational Analytics.
Support the upskilling of the team members on topics related to Data & Analytics
About Capgemini
Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
