Lead Architect - AWS Data, Analytics & AI
About The Position
The AWS North America GTM Lead (Portfolio Manager) defines and executes the go-to-market strategy to grow Capgemini’s Data, Analytics & AI business on AWS across North America. The role calls for deep knowledge of AWS and cloud, data, analytics, and AI, commercial acumen, and the ability to influence internal and external stakeholders. The position builds senior relationships with AWS, leads joint planning and business reviews, represents Capgemini at AWS and industry events, and works with AWS partners to drive growth. It develops industry-specific offerings and financial-services use cases, coordinates co-selling and account planning, and manages the opportunity pipeline through qualification, solution shaping, proposals, customer presentations, and AWS programs. Internally, the role collaborates with Insights & Data, Cloud, AI, delivery, architecture, and industry leadership to improve AWS delivery capabilities and develop staff competencies. It also contributes financial-services expertise and thought leadership, and stays current on AWS developments in generative AI, data modernization, cloud transformation, and analytics.
Requirements
- 10+ years of experience in Data, Analytics, AI, Cloud, or Technology Consulting roles.
- Strong understanding of AWS Data, Analytics, GenAI, and modern data platform architectures.
- Proven track record in alliance management, go-to-market leadership, hyperscaler partnerships, or portfolio ownership.
- Demonstrated success driving pipeline growth and supporting cloud solution sales cycles.
- Experience managing executive relationships with AWS and enterprise clients.
- Excellent stakeholder management, communication, and negotiation skills.
- Ability to lead cross-functional teams and influence senior leadership.
Responsibilities
- Build senior-level relationships across AWS’s North America organization.
- Lead joint planning sessions and Quarterly Business Reviews with AWS and Capgemini leadership teams.
- Represent Capgemini in AWS forums, partner councils, AWS Summits, re:Invent, and industry events.
- Collaborate with AWS Partner Development Managers, Solution Architects, and Industry Leads to drive strategic growth.
- Define and execute the go-to-market strategy for scaling Capgemini’s AWS Data, Analytics & AI portfolio.
- Identify high-value opportunities and transformation use cases across financial-services clients.
- Participate in and shape AWS–Capgemini joint account-planning workshops.
- Drive co-sell motions with AWS and coordinate execution across priority accounts.
- Develop industry-specific offerings using AWS-native services and accelerators.
- Develop and manage a pipeline of AWS Data, Analytics & AI opportunities.
- Support deal qualification, solution shaping, proposal development, and executive customer presentations.
- Drive opportunity progression through AWS Marketplace, funding programs, and co-sell initiatives.
- Track and report pipeline performance against portfolio and revenue goals.
- Collaborate with Insights & Data, Cloud, AI, and Delivery leadership to strengthen AWS delivery capabilities.
- Promote awareness of AWS offerings, certifications, and partner programs internally.
- Work with solution architects and industry leaders to improve financial-services-focused AWS solutions.
- Drive enablement programs that build AWS competencies across consulting and delivery teams.
- Maintain domain expertise across banking, capital markets, payments, and insurance.
- Shape thought leadership, industry points of view, and client-ready collateral showcasing AWS business value.
- Stay current on AWS innovations in generative AI, data modernization, cloud transformation, and analytics.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Additional benefits as provided by local policy and eligibility.
- May be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
