AI Adoption & Programs Lead

Amazon

Northern (KY)

Hybrid

USD 70,000 - 116,000

Full time

15 hours ago
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Job summary

Amazon.com Services LLC is seeking an experienced program manager to lead AI adoption across the last mile delivery network. You will design hands-on programs, coach a Champion network, and prioritize use cases with Orbit partnerships to unlock scalable infrastructure.

You will define success metrics, track adoption and ROI, and report progress to senior leadership on a monthly cadence, while building an AI Center of Excellence managed by cross-functional teams.

Qualifications

  • 3+ years of program or project management experience.
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience.
  • Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
  • Experience using data and metrics to determine and drive improvements.
  • Experience working cross functionally with tech and non-tech teams.

Responsibilities

  • Own AI adoption strategy and drive the AI-everywhere culture shift.
  • Build organizational self-sufficiency with the right AI tools for each job family and coach owners to build solutions.
  • Own the use-case intake and prioritization pipeline: crowdsource ideas and evaluate impact/effort.
  • Define success metrics before building; track adoption, usage, and ROI.
  • Own the AI Center of Excellence as the single source of truth for tools, playbooks, and training.
  • Report AI adoption and impact metrics to leadership monthly.

Skills

Program management
Data analysis
Stakeholder management
Excel advanced

Tools

SQL
Excel

Job description

Amazon.com Services LLC is seeking an experienced program manager to lead AI adoption across the last mile delivery network. You will design hands-on programs, coach a Champion network, and prioritize use cases with Orbit partnerships to unlock scalable infrastructure.

You will define success metrics, track adoption and ROI, and report progress to senior leadership on a monthly cadence, while building an AI Center of Excellence managed by cross-functional teams.

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