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Capacity Planning Manager, AMZL EU UTR

Amazon · Luxembourg

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Senior 🇬🇧 English

Description du poste

About the role

Amazon Logistics' Capacity Planning Team provides safe, cost-optimal and flexible capacity solutions for on-road operations, year-round and for seasonal peaks. This Capacity Planning Manager role is based at the Lux corporate office (LUX20) and focuses on the EU UTR capacity planning function. The person defines and ramps programs that bring new programs, business lines and delivery channels into the central capacity planning cadence, identifies business needs, sets product and technology requirements, defines a charter and executes the plan end to end.

Key responsibilities

  • Drive optimisation of key Capacity Planning metrics to improve demand and supply planning, support systems and tools development
  • Identify and develop programs for standardisation and efficiency improvement across the last-mile supply chain
  • Support programs across multiple work streams so teams follow daily and weekly cadences and deliver on time
  • Earn the trust of operational leaders across EU Amazon Logistics to drive standardisation of process and execution framework
  • Build cross-functional relationships with first, middle mile, fulfilment and central teams to align EU operations
  • Partner with central tech and expansion teams to turn business requirements into technology requests and give UTR access to good management platforms
  • Implement a culture of continuous improvement and establish scalable hiring processes for multi-site operations

Required profile

  • Bachelor's degree or equivalent in Math, Engineering, Science or Business
  • Experience in program management and leading large, complex projects
  • Experience defining program requirements and using data and metrics to find improvements
  • Experience managing multiple internal stakeholders and advising cross-functional teams
  • Strong analytical skills, attention to detail and effective communication
  • Preferred: experience leading cross-functional projects, a Master's degree in STEM, and experience with big data analysis

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