Jobs · Management · New York

Sr PM, Field Support , North America Fleet Readiness

Amazon · Syosset, NY · 1 wk ago
ManagementFull-time

Key job responsibilities

  • On site field support for multiple delivery stations in the Northeast, working closely with stakeholder groups on program implementation and vehicle operational readiness rate
  • Partner with Amazon Operations leaders, Delivery Service Partners (DSP), and Corporate program teams to drive adherence to business goals and initiatives
  • Collect and analyze data in order to drive performance improvements with central programs
  • Lead without authority in order to translate data reporting opportunities into feasible and scalable actions
  • Conduct DSP roundtables to identify opportunities for vehicle maintenance and uptime
  • Develop actions plans to address root causes and assist with implementing the changes
  • Create reporting to identify root causes of low performance
  • Conduct site visits to identify improvements for maintenance and repairs of our fleet
  • Monitor key fleet metrics, define and implement initiatives to drive program and process improvements
  • Leverage data analysis to systematically drive change
  • Communicate across teams and to leadership to ensure alignment of goals, tasks for the overall success of the program

Basic Qualifications

  • 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

Preferred Qualifications

  • 2+ years of driving process improvements experience
  • Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
  • Knowledge of general AI tools
  • Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions

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