Managing Solution Architect

Capgemini • Chicago, IL

7d • $170,000 - $250,000 • Hybrid

About The Position

As part of Capgemini’s continued growth agenda in Automotive, we are seeking an experienced Director to help clients envision, shape, and deliver data-led transformation across the automotive value chain. This leadership role combines consulting excellence, industry expertise, commercial acumen, and delivery ownership to drive strategic engagements with OEMs, suppliers, dealers, mobility providers, and connected ecosystem partners. You will bring a strong point of view on how data, analytics, AI, cloud, and digital platforms can unlock measurable business value across connected vehicles, manufacturing operations, supply chain, customer experience, aftersales, mobility services, and enterprise transformation. The role is based in Detroit, MI or Chicago, IL and will play a key part in expanding our Automotive Data & AI practice, developing our people, and delivering outcomes that reflect Capgemini’s commitment to client impact, innovation, and responsible technology.

Requirements

• Demonstrated success originating, shaping, selling, and delivering data, analytics, AI, and digital transformation programs across the automotive value chain, including vehicle lifecycle, connected products, manufacturing, supply chain, customer, dealer, aftersales, and mobility domains.
• Consultative experience with a top-tier consulting services provider, including demonstrated ability to advise senior clients, shape transformation agendas, navigate complex stakeholder environments, and deliver high-impact outcomes through structured consulting methods.
• Currently operating in a major consulting firm, technology services organization, or relevant industry leadership role, ideally with prior consulting experience and proven success in a matrixed, global organization.
• Strong track record in proposition development, solution shaping, executive storytelling, and delivery leadership across complex, multi-workstream engagements.
• Established business development capability, leveraging Capgemini relationships, account teams, partner ecosystems, and personal networks to identify, shape, and convert growth opportunities.
• Ability to lead executive workshops with automotive clients to identify strategic priorities, business pain points, data maturity, process opportunities, solution pathways, target operating models, and value realization plans.
• Ability to define and own solution approaches across automotive data platforms, analytics products, AI/ML use cases, data governance, Master Data Management, cloud modernization, system integration, and enterprise architecture.
• Experience leading teams of architects, data specialists, engineers, and business consultants to design, build, and scale practical solutions that address client priorities and create sustainable impact.
• Entrepreneurial mindset with the ability to identify whitespace opportunities, cultivate trusted relationships, and grow the business within strategic automotive accounts.
• Ability to promote program, solution, and team success internally and externally, translating delivery outcomes into repeatable client value stories and market-facing credentials.
• A strong point of view on Automotive Data & AI opportunities, including connected vehicle intelligence, manufacturing analytics, supply chain resilience, customer 360, dealer performance, aftersales optimization, enterprise data platforms, and responsible AI adoption.

Responsibilities

• Lead and contribute to proposals, RFPs, origination, account expansion, executive client conversations, market campaigns, and sector-specific proposition development.
• Shape offerings, thought leadership, accelerators, internal communities, recruiting activities, knowledge assets, and go-to-market initiatives that strengthen our Automotive Data & AI capability.
• Coach, mentor, and develop consultants and specialists, supporting career growth, capability building, certifications, and the skills needed to meet evolving client demand.
• Demonstrated success originating, shaping, selling, and delivering data, analytics, AI, and digital transformation programs across the automotive value chain, including vehicle lifecycle, connected products, manufacturing, supply chain, customer, dealer, aftersales, and mobility domains.
• Consultative experience with a top-tier consulting services provider, including demonstrated ability to advise senior clients, shape transformation agendas, navigate complex stakeholder environments, and deliver high-impact outcomes through structured consulting methods.
• Currently operating in a major consulting firm, technology services organization, or relevant industry leadership role, ideally with prior consulting experience and proven success in a matrixed, global organization.
• Strong track record in proposition development, solution shaping, executive storytelling, and delivery leadership across complex, multi-workstream engagements.
• Established business development capability, leveraging Capgemini relationships, account teams, partner ecosystems, and personal networks to identify, shape, and convert growth opportunities.
• Ability to lead executive workshops with automotive clients to identify strategic priorities, business pain points, data maturity, process opportunities, solution pathways, target operating models, and value realization plans.
• Ability to define and own solution approaches across automotive data platforms, analytics products, AI/ML use cases, data governance, Master Data Management, cloud modernization, system integration, and enterprise architecture.
• Experience leading teams of architects, data specialists, engineers, and business consultants to design, build, and scale practical solutions that address client priorities and create sustainable impact.
• Entrepreneurial mindset with the ability to identify whitespace opportunities, cultivate trusted relationships, and grow the business within strategic automotive accounts.
• Ability to promote program, solution, and team success internally and externally, translating delivery outcomes into repeatable client value stories and market-facing credentials.
• A strong point of view on Automotive Data & AI opportunities, including connected vehicle intelligence, manufacturing analytics, supply chain resilience, customer 360, dealer performance, aftersales optimization, enterprise data platforms, and responsible AI adoption.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed