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.

The Digital Continuity Team

Capgemini's Digital Continuity team helps clients transform its Engineering & R&D capabilities. We help to connect dots across the broader organization value chain including sale/marketing, R&D, Engineering, manufacturing, operations and aftersales to drive efficiency, improve flexibility, and increase responsiveness through proactive insights and decision-making. A valued driven approach, we advise and manage transformational solutions for our clients. We provide the consulting to strategize, plan and execute on digital technologies, advanced analytics, and industry-specific solutions. Our key offerings include S/W driven transformation, Digital Continuity across the organization and R&D transformation.

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

Your Skills 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

The base compensation range for this role in the posted location is: $105,600 - $199,480

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.