Director / Sr. Director - Digital Engineering

About the role

As a Director / Sr. Director, you will be responsible for leading strategic client engagements, driving growth, and overseeing the successful delivery of large-scale Digital Engineering and Product Engineering transformation programs across the Aerospace & Defense, Automotive, Manufacturing, and Oil & Gas industries. This role plays a critical part in expanding Capgemini Invent's Digital Engineering presence, developing client relationships, and driving innovation-enabled business transformation.

Role Expectations

• Identify, develop, and close new business opportunities, including proposals, client presentations, and contract pursuits.
• Partner with clients to identify opportunities for value creation through PLM, Manufacturing, AI, GenAI, data, and emerging technologies.
• Develop and drive end-to-end Engineering transformation roadmaps with executive client stakeholders.
• Develop and execute Digital Engineering transformation strategies aligned with client objectives and business priorities.
• Lead the design and delivery of large-scale Product Engineering and Engineering Software transformation programs.
• Define and industrialize target operating models, governance structures, and execution frameworks.
• Establish and lead PMO, VRO, and governance functions to ensure successful program execution.
• Grow and scale the Digital Engineering practice by leveraging an established professional network to attract, recruit, and develop top talent.
• Build and maintain executive-level relationships with clients, ensuring long-term partnership and customer satisfaction.
• Lead multidisciplinary teams while providing mentorship, coaching, and career development opportunities.
• Assess and manage project and operational risks, ensuring successful delivery and compliance with organizational standards.
• Collaborate across Capgemini Invent offerings to bring integrated solutions and cross-capability value to clients.
• Drive thought leadership, innovation, and market presence through industry engagement, publications, speaking opportunities, and professional networking.
• Travel as required to support client engagements and business development activities.

Qualifications & Experience

• 12+ years of consulting, industry, or Digital Engineering leadership experience, with demonstrated success leading large-scale transformation initiatives.
• Experience establishing and leading major Product Engineering transformation programs.
• Proven success delivering large Engineering Software and Digital Engineering engagements.
• Experience designing and implementing target operating models, governance frameworks, and transformation execution models.
• Strong experience establishing PMO, VRO, governance, and program management functions.
• Deep understanding of Product Lifecycle Management (PLM), Manufacturing technologies, and Engineering transformation.
• Demonstrated business development success, including sales pursuits, proposal development, and revenue growth.
• Experience managing and selling multi-capability and cross-functional consulting engagements.
• Strong knowledge of AI, GenAI, and data-driven approaches within Engineering and product development environments.
• Experience leveraging AI/GenAI solutions to enhance decision-making, automate processes, and improve operational performance.
• Strong executive presence with exceptional client relationship and stakeholder management skills.
• Demonstrated success building, leading, mentoring, and scaling high-performing consulting or industry teams.
• Established network within Digital Engineering, Manufacturing, Aerospace & Defense, Automotive, Oil & Gas, or related industries.
• Bachelor's degree required; Master's degree (MBA, Engineering, or related field) preferred.

What You'll Love About Working Here

• 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 AI, Data & Analytics

Pay

$180,000 to $280,000

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