Sr. Manager, Supply Chain Flow Optimization, EU Supply Chain Science

Amazon

  • Luxemburg
  • Unbefristet
  • Vollzeit
  • 1 Monat her
Job DescriptionDESCRIPTIONAmazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth’s most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year.The EU SC Science Optimization team is looking for a Technical leader to tackle complex and ambiguous forecasting and optimization problems for our EU fulfillment network.The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Statistics, Econometrics, Operations Research and Machine Learning models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with Supply Chain Optimization Technology (SCOT) teams, who own the systems and the inputs we rely on to plan our networks, the worldwide scientific community, and with our internal EU stakeholders within Supply Chain, Transportation, Store and Finance.The ideal candidate has a well-rounded-technical background as well as a history of leading large projects end-to-end, and is comfortable in developing long term research strategy while ensuring the delivery of incremental results in an ever-changing operational environment.As a Sr. Manager (TPM), you will lead and grow a high-performing team of data and research scientists, technical program managers and business intelligence engineers. You will partner with operations, finance, store, science and engineering leadership to identify opportunities to drive efficiency improvement in our Fulfillment Center network flows via optimization and scalable execution.As a technical leader, you will not only develop and maintain optimization products, but also influence strategy and outcomes across multiple partner science teams such as forecasting, transportation network design, or modelling teams. You will identify new areas of investment and research and work to align roadmaps to deliver on these opportunities. This role is inherently cross-functional and requires an ability to communicate, influence and earn the trust of science, technical, operations and business leadership.We are open to hiring candidates to work out of one of the following locations:Luxembourg, LUXBASIC QUALIFICATIONS
  • Bachelor's degree in Engineering, Computer Science or related technical field
  • Significant experience in technical program management experience
  • relevant people management experience
  • Knowledge of professional software engineering practices and best practices for the full software Agile development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Excellent communication skills in written and oral English with the ability to face external and internal customers in a professional and mature manner
  • Candidates should demonstrate superior project management and troubleshooting skills
PREFERRED QUALIFICATIONS
  • Master’s Degree in Computer science/Math or related field
  • Experience in delivering Amazon-scale systems
  • An understanding of distributed and service-oriented architectures.
  • Proven analytical thinking, skills in metrics creation and project management, attention to details, and exceptional organizational skills
  • Prior experience building complex, systems involving Optimization, AI, ML
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

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