Process Improvement Manager
vor 3 Wochen
As a Process Improvement Manager at Amazon EU SARL (Germany Branch) - D70, you will play a critical role in enhancing the customer experience through continuous process optimization. Your primary responsibility will be to drive EU-wide large-scale programs and products that deliver a positive impact on our customers.
Key Responsibilities- Review daily process defect data, identify root causes, develop and align action plans, and evaluate their impact in collaboration with site operations.
- Provide proactive feedback to operations management on quality-related issues and collaborate with central teams on projects and system enhancements.
- Gain expertise in key MMN process paths and exception handling, ensuring process discipline across all shifts and departments through training and audits.
- Perform daily process audits in Sortation centers to ensure adherence to PMVs and SOPs, highlighting non-adherence and engaging ACES for necessary changes.
- Conduct regular reviews (daily, weekly, and monthly) of quality metrics with site leadership, including concessions, damages, DEA, returns, and scan compliance, and customer feedback.
- Establish effective communication channels for sharing quality-related updates and best practices within assigned sites/region.
Amazon couldn't deliver at pace without the Amazon Transportation Service (ATS) team. As part of ATS, you'll be welcomed into a diverse team that plays a central role in our success. Our team captures data and uses it to drive decisions, making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise of our people to get packages to their destination – quickly, conveniently, and sustainably.
Requirements- Transportation or Supply Chain experience (previous Operations experience preferred), within a high-volume logistics, manufacturing, or engineering environment, as well as Project Management experience.
- Bachelor's Degree from an accredited university or equivalent qualification.
- Proficiency in the local language and English, verbally and written.
- Experience using data and metrics to test theories, confirm assumptions, generate ideas, execute, and measure success.
- Advanced knowledge of Excel and demonstrated experience querying relational databases using SQL (or other query language), along with experience using large complex data sets to design models and scenarios.
- Demonstrated experience with Lean and Six Sigma methodologies or similar techniques.
- Degree in a science or logistics-based discipline.
- Previous Inventory Control and Quality Assurance Management experience, performance metrics, process improvement, and Lean techniques.
- Strong analytical abilities, including proficiency in Python or any programming language with strong data analysis skills.
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