**DESCRIPTION**:
The EU Amazon Customer Excellence System team (ACES) is seeking an enthusiastic, data-driven and technology-minded Process Owner to contribute to the improvement, growth and fast-paced changes of the EU Operations network.
The EU ACES PSE (Process and Systems Engineering) is a team of Process Owners with the mission to support Fulfillment Center (FC) process improvement on behalf of Amazon customers. As the intermediary between operations and software teams, our team is responsible for project execution, process maintenance and troubleshooting, and change management for new hardware and software deployments in our FCs. We own the virtual process setup, software, and equipment standardization and design & rollout of software projects. We define launch standards and provide an end-to-end support for new FC launches and ad-hoc FC process support. Our vision together with Amazon Fulfillment Technology team is to develop efficient and reliable systems enabling our operations teams to process and fulfill customer shipments on time and free of defects.
This role requires the ability to travel up to 40% of the time.
This position is for a 12-month fixed-term contract.
Key job responsibilities
- Influence strategic goals by shaping the technical vision and roadmap for your process area through idea scoping, business analysis, prioritization, and robust planning
- Write compelling business proposals for a cross-functional audience of senior leaders and experts
- Manage multiple end-to-end projects and workstreams simultaneously and against challenging deadlines
- Deliver savings against forecast and create financial models with finance partners to report and control results
- Drive mindful discussions with partners in cross-functional business and technology teams through ideation, planning and execution, including AFT (Amazon Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders
- Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations
- Collaborate with the extended EU ACES teams to define process standards and metrics meeting daily and seasonal operational needs
- Build a network with worldwide teams to share knowledge and identify and implement best practices across the region/ network
A day in the life
About the team
Amazon Customer Excellence Systems (ACES) team plays a critical role in orchestrating cross-functional technology and continuous improvement projects from scoping and design to test and rollout. The team plays a vital role in integration and communication between the Amazon Technology Teams and Fulfillment Center (FC) Operations.
Our goal is to design autonomous and automated systems to replace complex decision-making with simple solutions and facilitate end-to-end operational control of fulfillment execution.
**BASIC QUALIFICATIONS**:
- Completed Bachelor Degree (Math, Engineering, Science, Business).
- Large scale, cross-functional project management experience.
- Thorough understanding of all aspects of Lean Six Sigma (define, measure, analyze, improve, and control (DMAIC and DMADV/ DFSS) models.
- Demonstrable problem-solving, mathematical, and analytical skills using data to drive decisions in a business environment.
- Experience with analytical tools such as SQL, Tableau or Microsoft Access
- Ability to negotiate, persuade, and build relationships based on trust with internal customers and stakeholders
**PREFERRED QUALIFICATIONS**:
- Advanced degree / Master’s Degree (Math, Engineering, Science, Business)
- Lean six sigma Black Belt ( Master black Belt preferred) Certified
- Demonstrable experience of hands-on Continuous improvement and Lean_six_sigma coaching
- Extensive experience training and coaching teams on lean six sigma and other process excellence tools/methodologies
- Experience driving process excellence and continuous improvement culture in a large organization
- Strong Process/benchmark auditing and non-compliance management experience
- Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning
- Experience working with technology and software teams to align requirements and drive solution development