Data & AI Growth & Delivery Leader

Experis (Austria)

Seattle (WA)

Hybrid

USD 180,000 - 250,000

Full time

29 hours ago
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Benefits offered by this job

Hybrid work model
Bonus 12-15%
Weekly pay

Job summary

ManpowerGroup’s Experis is seeking a Data & AI - GTM Delivery Leader (CPRS) in the Seattle area. You will own client relationships and lead go-to-market execution across CPRS, shaping solutions, proposals, and SOWs to drive growth and delivery success.

You will oversee delivery across Data Management, Data Engineering, Analytics, AI/ML, Generative AI, and Cloud Modernization, guiding multi-disciplinary teams and ensuring client satisfaction and financial performance.

Qualifications

  • Bachelor's degree required; MBA or equivalent preferred.
  • 10+ years in consulting, services, or delivery leadership with business development.
  • Proven success selling and delivering Data & AI, Analytics, ML, Generative AI, Cloud.
  • Experience managing executive relationships and leading strategic pursuits.
  • Experience leading multidisciplinary teams through enterprise transformation.

Responsibilities

  • Own relationships within client organizations across CPRS, guiding strategy to delivery.
  • Lead Data & AI go-to-market execution: qualify opportunities, shape solutions, drive proposals.
  • Drive complex pursuits and exec-level presentations linking Data, AI, and Cloud to growth.
  • Provide executive delivery oversight across data, AI/ML, and cloud modernization engagements.
  • Transition opportunities from sales to delivery, ensuring contract commitments and value realization.

Skills

Executive relationships
Business development
Delivery leadership
Data & AI
GTM strategy
Proposal development

Education

Bachelor's degree
MBA preferred

Job description

ManpowerGroup’s Experis is seeking a Data & AI - GTM Delivery Leader (CPRS) in the Seattle area. You will own client relationships and lead go-to-market execution across CPRS, shaping solutions, proposals, and SOWs to drive growth and delivery success.

You will oversee delivery across Data Management, Data Engineering, Analytics, AI/ML, Generative AI, and Cloud Modernization, guiding multi-disciplinary teams and ensuring client satisfaction and financial performance.

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