Shipper Ops PM: Process Improvement & Cross‑Functional Impact

Amazon.com

Milano

In loco

EUR 47.160 - 57.640

Tempo pieno

14 giorni+

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Descrizione del lavoro

Amazon Shipping is seeking a Program Manager for Shipper Support to drive process improvements and operational excellence across the Shipper Support organization. Based in Milan or London, you will bridge front-line operations with product and program management to translate shipper pain points into scalable improvement initiatives.

You will lead cross-functional collaboration with Product, Engineering and Operations, analyze data to prioritize opportunities, and document scalable processes and

Competenze

  • Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership.
  • Relevant experience with program management, logistics, operations, supply chain, transportation, or related.

Mansioni

  • Identify, scope, and lead process improvement initiatives that enhance shipper experience and drive operational efficiency.
  • Coach Shippers, Account Managers and Shipper Support Specialists to identify defects and perform root-cause analysis.
  • Partner with cross-functional teams (Product, Engineering, Operations) to implement process and tool improvements.
  • Analyze contact drivers and shipper pain points to identify trends and quantify impact.
  • Design scalable processes, SOPs, and playbooks for consistency and quality.
  • Own end-to-end lifecycle of improvement initiatives from problem to rollout.
  • Create narratives and updates to leadership on problems and solutions.

Conoscenze

Program management
Logistics/operations

Descrizione del lavoro

Amazon Shipping is seeking a Program Manager for Shipper Support to drive process improvements and operational excellence across the Shipper Support organization. Based in Milan or London, you will bridge front-line operations with product and program management to translate shipper pain points into scalable improvement initiatives.

You will lead cross-functional collaboration with Product, Engineering and Operations, analyze data to prioritize opportunities, and document scalable processes and

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