AI-Driven Deployment Planner & Materials Manager

Amazon

Springdale (OH)

On-site

USD 120,000 - 162,000

Full time

4 days ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC is seeking a Deployment Planning & Materials Manager to own integrated scheduling across labor, materials, logistics, and installation activities. You will develop end-to-end execution plans, align workforce availability with vendor deliveries, and drive improvements through data analytics and AI-enabled forecasting tools.

The role requires 5+ years managing large projects, strong proficiency with Microsoft Office, and a Bachelor's degree.

Qualifications

  • 5+ years of experience directly managing multiple large projects.
  • 5+ years of Microsoft Office products and applications experience.
  • Bachelor's degree.
  • Master's degree preferred (MBA or related).
  • Experience in Lean Management and Six Sigma is a plus.

Responsibilities

  • Own development and management of integrated deployment schedules.
  • Develop workforce and labor forecasts for proper resourcing.
  • Coordinate engineering deliverables, procurement timelines, and logistics.
  • Forecast material demand and monitor inventory and staging requirements.
  • Align vendor lead times and delivery schedules with milestones.
  • Identify schedule risks and implement mitigation strategies.
  • Utilize data analytics and AI-enabled tools to improve planning accuracy.
  • Maintain planning dashboards and reports on schedule health and labor/material status.
  • Lead post-deployment reviews for continuous improvement.

Skills

Project management
Data analytics
Forecasting

Education

Bachelor's degree
Master's degree (MBA/related)

Tools

Microsoft Office
Lean Management
Six Sigma

Job description

Amazon.com Services LLC is seeking a Deployment Planning & Materials Manager to own integrated scheduling across labor, materials, logistics, and installation activities. You will develop end-to-end execution plans, align workforce availability with vendor deliveries, and drive improvements through data analytics and AI-enabled forecasting tools.

The role requires 5+ years managing large projects, strong proficiency with Microsoft Office, and a Bachelor's degree.

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