Manager, Aircraft Maintenance Operations, Amazon Air

Amazon Amazon · Big Tech · Erlanger, KY · Supply Chain/Transportation Management

Manager for Aircraft Maintenance Operations at Amazon Air, focusing on transforming operations using Generative AI and emerging technologies. The role involves overseeing daily maintenance, managing real-time decisions, developing fleet health monitoring strategies, and driving the implementation of AI/ML to enhance operational strategies and predictive maintenance. The goal is to move from reactive to predictive, insight-driven operations, leveraging GenAI for data synthesis and actionable insights.

What you'd actually do

  1. Oversee daily maintenance operations workflow, ensuring effective communication and coordination between maintenance providers and network operations
  2. Manage real-time operational decisions regarding maintenance events, aircraft swaps, and recovery scenarios to minimize network disruption and maintain schedule integrity
  3. Develop and drive real-time fleet health monitoring strategies and technical readiness assessments for the Amazon Air global fleet
  4. Drive implementation of AI/ML technologies to enhance operational maintenance strategies, leveraging GenAI tools to synthesize data and surface actionable insights
  5. Champion adoption of approved AI solutions within daily workflows — evaluating emerging tools, leading pilot efforts, and providing feedback that shapes continuous process improvement

Skills

Required

  • 5+ years of program or project management experience
  • Experience using data and metrics to determine and drive improvements
  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership
  • 5+ years Airline, military, or equivalent experience with 14CFR 121 operations in line maintenance, maintenance control, heavy maintenance or equivalent
  • FAA Part 65 Airframe and Powerplant certificate or equivalent.
  • Experience with data analytics and technology implementation in aviation

Nice to have

  • Experience using data and metrics to drive actionable insights at scale
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • 5+ years of driving process improvements experience
  • Background in aircraft maintenance control and line maintenance operations
  • Understanding of machine learning fundamentals and their potential in maintenance forecasting

What the JD emphasized

  • lead the transformation of aircraft maintenance operations through Generative AI
  • architect the next generation of tools, processes, and best practices
  • lead — not just use — AI-enabled transformation in aviation maintenance at global scale
  • Drive implementation of AI/ML technologies
  • leveraging GenAI tools
  • Champion adoption of approved AI solutions
  • evaluating emerging tools

Other signals

  • AI/ML innovation
  • GenAI-powered analytics
  • predictive, insight-driven operations
  • AI-enabled transformation
  • AI/ML technologies
  • GenAI tools
  • AI solutions