Principal AI/ML & Data Delivery Leader (HCLS)

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 183,000 - 247,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Principal Delivery Consultant to lead large-scale Healthcare and Life Sciences transformation programs.

You will define the technical vision across AI/ML, data platform modernization, and enterprise architecture, influencing executives and coaching cross-functional teams. This individual contributor role requires deep technical depth, broad cross-domain capability, and the ability to counsel VP+ executives on major technology choices, while co-locating with

Qualifications

  • Bachelor's degree in CS, Math, or related field.
  • 8+ years of enterprise technology architecture delivery.
  • Depth in AI/ML, enterprise architecture modernization, or data architecture.

Responsibilities

  • Define and own the end-to-end technical architecture for large-scale HCLS transformation programs.
  • Counsel executives on total cost of ownership, time-to-value, and build-vs-buy decisions.
  • Drive architectural governance and cross-team alignment across partner and customer teams.
  • Grow expertise in AI/ML, data engineering, and industry depth in HCLS.
  • Architect and implement AI-native delivery patterns at scale.

Skills

AI/ML
Enterprise architecture
Data architecture
Executive advisory

Education

Bachelor's degree in Computer Science, Math, or related field

Job description

Amazon Web Services, Inc. is seeking a Principal Delivery Consultant to lead large-scale Healthcare and Life Sciences transformation programs.

You will define the technical vision across AI/ML, data platform modernization, and enterprise architecture, influencing executives and coaching cross-functional teams. This individual contributor role requires deep technical depth, broad cross-domain capability, and the ability to counsel VP+ executives on major technology choices, while co-locating with

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