Data & AI GTM Leader & Solution Engineer

CapgeminiSeattle, WA
Onsite

About The Position

We are seeking a Data & AI leader to drive enterprise-scale transformation through data-driven strategy and AI innovation. This role is responsible for building and scaling Data & AI practice capabilities, leading pre-sales activities, managing RFP and SOW development, and overseeing P&L performance to achieve sustained revenue growth. The ideal candidate has a proven track record of expanding client portfolios and delivering measurable business outcomes through data, analytics, and AI investments. This leader will bring deep expertise in enterprise data platforms, AI/ML enablement, and large-scale cloud modernization, effectively translating complex technology initiatives into tangible business value. The role also requires serving as a trusted advisor to C-suite executives and sales leadership, aligning Data & AI strategies with business growth, market expansion, and competitive objectives.

Requirements

  • Extensive hands-on experience leading AI, data, and analytics initiatives with a deep understanding of the Data & AI landscape.
  • Broad technical expertise across Data Management, Data Engineering, AI/ML, and related disciplines, with recognized depth in at least one area.
  • Proven success in building and managing client relationships, from initial engagement through long-term trusted partnerships that drive business results.
  • Strong track record in professional services sales, business development, and partner-led selling.
  • Demonstrated ability to work effectively with prospects, clients, vendors, and strategic partners to position and deliver successful solutions.
  • Strong communication, relationship-building, and stakeholder management skills.
  • Self-motivated, proactive, and collaborative team player with a results-oriented mindset.
  • Experience selling complex, technology-enabled transformation services and navigating diverse stakeholder groups throughout the sales cycle.
  • Ability to clearly articulate the full portfolio of Data & AI services, solutions, and capabilities.
  • 10+ years Professional Services, Business Development, Account Management and/or partner management experience.
  • Proven success in both selling and delivering consulting engagements, from close client management and collaborating with senior executives to getting “hands on” in Delivery when required.
  • Proven experience meeting and exceeding sales and revenue targets in excess of $10m annually; manage engagements ranging from $1m to $15m in annual revenues.
  • Excellent written and verbal communication skills.
  • BA/BS degree required.

Nice To Haves

  • Deep expertise in enterprise data platforms, AI/ML enablement, and large-scale cloud modernization.
  • Experience in the Consumer Products, Retail, and Services sectors is strongly preferred.
  • MBA or equivalent work experience preferred.

Responsibilities

  • Drive enterprise-scale transformation through data-driven strategy and AI innovation.
  • Build and scale Data & AI practice capabilities.
  • Lead pre-sales activities.
  • Manage RFP and SOW development.
  • Oversee P&L performance to achieve sustained revenue growth.
  • Expand client portfolios and deliver measurable business outcomes through data, analytics, and AI investments.
  • Serve as a trusted advisor to C-suite executives and sales leadership.
  • Align Data & AI strategies with business growth, market expansion, and competitive objectives.
  • Work with our CPRS sector’s field sales professionals on targeting our installed base and new logo accounts in specific industries.
  • Work with our delivery leadership to respond to opportunities and team-selling through RFP responses or other types of sales cycles.
  • Participate in client/prospect calls, RFP/proposal responses (as part of the team).

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
  • 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
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