Managing Solution Architect

Capgemini • Chicago, IL

42d • $117,930 - $223,591 • Onsite

About The Position

Capgemini is seeking an experienced automotive data and AI leader to help clients envision, shape, and deliver data-led transformation across the automotive value chain. The role combines consulting leadership, industry expertise, commercial acumen, and delivery ownership, supporting strategic engagements with OEMs, suppliers, dealers, mobility providers, and connected ecosystem partners. The position is based in Detroit, Michigan, or Chicago, Illinois, and contributes to expanding Capgemini’s Automotive Data & AI practice, developing its people, and delivering client outcomes that reflect its commitment to impact, innovation, and responsible technology.

The successful candidate will bring a strong perspective on using data, analytics, AI, cloud, and digital platforms to create measurable value across connected vehicles, manufacturing operations, supply chain, customer experience, aftersales, mobility services, and enterprise transformation. The role includes business development, practice leadership, people development, executive client engagement, solution definition, and delivery leadership across complex automotive programs.

Requirements

• Demonstrated success originating, shaping, selling, and delivering data, analytics, AI, and digital transformation programs across automotive domains, including vehicle lifecycle, connected products, manufacturing, supply chain, customer, dealer, aftersales, and mobility.
• Consultative experience with a top-tier consulting services provider, including the 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; prior consulting experience and success in a matrixed, global organization are ideal.
• Strong track record in proposition development, solution shaping, executive storytelling, and delivery leadership across complex, multi-workstream engagements.
• Established business development capability and ability to use relationships, account teams, partner ecosystems, and personal networks to identify, shape, and convert growth opportunities.
• Ability to lead executive workshops with automotive clients.
• 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.
• Entrepreneurial mindset and ability to identify whitespace opportunities, build trusted relationships, and grow business within strategic automotive accounts.
• Ability to translate delivery outcomes into repeatable client value stories and market-facing credentials.
• Strong point of view on Automotive Data & AI opportunities and responsible AI adoption.

Responsibilities

• Lead and contribute to proposals, RFPs, opportunity origination, account expansion, executive client conversations, market campaigns, and sector-specific proposition development.
• Shape Automotive Data & AI offerings, thought leadership, accelerators, internal communities, recruiting activities, knowledge assets, and go-to-market initiatives.
• Coach, mentor, and develop consultants and specialists, supporting career growth, capability building, certifications, and skills development.
• Originate, shape, sell, and deliver data, analytics, AI, and digital transformation programs across the automotive value chain.
• Advise senior clients, shape transformation agendas, navigate complex stakeholder environments, and deliver outcomes using structured consulting methods.
• Develop propositions, shape solutions, tell executive-level stories, and lead delivery across complex, multi-workstream engagements.
• Identify, shape, and convert growth opportunities by leveraging Capgemini relationships, account teams, partner ecosystems, and personal networks.
• Lead executive workshops to identify strategic priorities, business pain points, data maturity, process opportunities, solution pathways, target operating models, and value realization plans.
• Define and own solution approaches spanning automotive data platforms, analytics products, AI/ML use cases, data governance, Master Data Management, cloud modernization, system integration, and enterprise architecture.
• Lead architects, data specialists, engineers, and business consultants in designing, building, and scaling practical solutions for client priorities.
• Identify whitespace opportunities, cultivate trusted relationships, and grow business within strategic automotive accounts.
• Promote program, solution, and team success internally and externally, translating delivery outcomes into repeatable client value stories and market credentials.
• Contribute a 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, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
• Medical, dental, and vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the U.S., subject to local policy and eligibility.
• Life and disability insurance, subject to local policy and eligibility.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

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