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
