Data & AI - GTM Delivery Leader (CPRS)

Capgemini•Seattle, WA
•$142,000 - $235,000

About The Position

Capgemini is seeking an experienced Data & AI go-to-market and delivery leader to drive growth, client transformation, and delivery excellence across the Consumer Products, Retail, Travel & Hospitality, and Services sectors. The role expands Data & AI consulting and delivery capabilities, develops strategic client relationships, leads complex pursuits, and grows revenue through Data, Analytics, AI, Generative AI, and Cloud Transformation services. As a market-facing leader, the position partners with sales, account, alliance, and delivery teams to expand Capgemini’s presence within strategic accounts, shape transformation opportunities, and deliver measurable client outcomes. It combines strategic and execution responsibilities, including serving as a trusted advisor to C-suite stakeholders and overseeing complex engagements. The role requires success in Data & AI growth initiatives, multimillion-dollar portfolios, executive client relationships, complex consulting engagements, business development, and delivery across the CPRS sector. The role is based in the Seattle, Washington area. Candidates must reside or relocate to support clients across Washington State. The posted base compensation range is $142,000–$235,000; the role may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers regular, full-time employees a benefits package that may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

  • Bachelor’s degree required.
  • At least 10 years of progressive experience in consulting, professional services, business development, account management, partner management, and/or delivery leadership.
  • Experience in Consumer Products, Retail, Travel, Hospitality, Restaurant, and Services industries.
  • Proven success selling and delivering Data & AI, Analytics, Machine Learning, Generative AI, Cloud, and Digital Transformation services.
  • Strong expertise in Data Management, Data Engineering, Data Platforms, Advanced Analytics, AI/ML, Generative AI, Cloud Modernization, and Enterprise Transformation.
  • Ability to develop and manage executive-level client relationships, lead strategic pursuits, develop proposals and Statements of Work, and drive long-term business growth.
  • Track record of achieving or exceeding annual revenue targets of $10 million or more while managing multimillion-dollar transformation engagements and portfolios.
  • Experience working across complex stakeholder environments involving clients, alliance partners, hyperscalers, sales, consulting, and delivery organizations.
  • Strong financial management, delivery governance, risk management, program leadership, and operational oversight capabilities.
  • Ability to lead large multidisciplinary consulting, sales, and delivery teams and drive successful business and technology outcomes.
  • Exceptional communication, executive presentation, negotiation, and stakeholder management skills, including the ability to influence senior executives and lead transformational change.
  • Strategic, entrepreneurial, and results-oriented leadership, with executive presence, business and technology acumen, and a focus on innovation, delivery excellence, and client success.
  • Experience with leading consulting, systems integration, or technology services organizations and developing strategic relationships with technology alliance partners.
  • Must reside or relocate to support clients across Washington State.

Nice To Haves

  • MBA, advanced degree, or equivalent professional experience.
  • Relevant experience and/or certifications in Cloud, Data & AI, Analytics, Program Management, Enterprise Architecture, or related technologies.

Responsibilities

  • Partner with CPRS industry, sales, and account leadership to identify and pursue growth opportunities across existing and new client accounts.
  • Drive Data & AI solution positioning, opportunity qualification, proposal development, RFP responses, SOW creation, and executive presentations.
  • Develop and execute strategic account growth plans to expand Capgemini’s Data & AI presence within target accounts.
  • Build and strengthen relationships with strategic technology partners, hyperscalers, and alliance organizations.
  • Represent Capgemini at industry conferences, trade shows, client events, and executive forums.
  • Participate in client and prospect discussions, shaping business cases and transformation roadmaps.
  • Establish trusted advisor relationships with senior executives, business leaders, and technology stakeholders.
  • Translate Data & AI strategies into measurable business outcomes supporting growth, operational efficiency, and customer experience.
  • Guide clients through enterprise Data, Analytics, AI, and Cloud transformation initiatives.
  • Use industry expertise to identify opportunities for innovation and business value realization.
  • Provide executive oversight for complex Data & AI engagements involving Data Management, Data Engineering, Analytics, AI/ML, Generative AI, and Cloud Modernization.
  • Ensure delivery excellence, financial performance, client satisfaction, and adherence to contractual commitments.
  • Support development of Data & AI offerings, accelerators, methodologies, and reusable assets.
  • Collaborate with delivery leadership to transition opportunities from sales through execution and value realization.
  • Mentor consultants and delivery leaders and foster innovation, collaboration, and client success.

Benefits

  • Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
  • 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.
  • Employee assistance programs.
  • Additional benefits as provided by local policy and eligibility.
  • Potential eligibility for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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