Integrated Deployment Planning Lead

Amazon

Austin (TX)

On-site

USD 120,000 - 162,000

Full time

14 days+

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Job summary

Amazon is seeking a planning and scheduling leader to own the integrated master schedule across a portfolio of concurrent installation programs in Austin, TX. You will coordinate labor forecasting, installation sequencing, vendor deliverables, and site readiness to hit milestones without surprises.

You will leverage Primavera P6, digital planning platforms, and AI-enabled forecasting tools to improve forecast accuracy, schedule reliability, and deployment scalability, while partnering with site

Qualifications

  • Bachelors degree in Operations, Supply Chain Management, Engineering, or another technical field.
  • 5+ years of construction or project management experience.
  • 5+ years of experience with scheduling tools (Primavera P6, MS Project, or equivalent).

Responsibilities

  • Own integrated deployment schedules aligning labor, vendor deliverables, engineering milestones, and site readiness across multiple concurrent projects.
  • Develop workforce forecasts based on project scope, installation sequencing, productivity assumptions, and historical performance.
  • Build execution plans coordinating engineering deliverables, procurement, permitting, and field activities into a single critical path view.

Skills

Microsoft Office
Scheduling tools

Education

Bachelor's degree in Operations, Supply Chain Management, Engineering, or another technical field
Master's degree in engineering, mechanical, operations, supply chain, business administration, or equivalent STEM field

Tools

Primavera P6
Microsoft Project

Job description

Amazon is seeking a planning and scheduling leader to own the integrated master schedule across a portfolio of concurrent installation programs in Austin, TX. You will coordinate labor forecasting, installation sequencing, vendor deliverables, and site readiness to hit milestones without surprises.

You will leverage Primavera P6, digital planning platforms, and AI-enabled forecasting tools to improve forecast accuracy, schedule reliability, and deployment scalability, while partnering with site

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