Amazon
3 days ago
Supplier Quality Manager, Private Brands
CN, 44, Shenzhen
Job Description
Would you like to be part of an organization that is developing a pipeline of leaders in a growing, highly innovative, global business? Are you passionate about driving continuous improvement through the strategic application of the newest technologies? Are you curious about Amazon’s Private Brands business and do you want to be part of it? Do you get excited working with a highly diverse group of colleagues in multiple countries? If yes, Amazon Private Brands Global Sourcing Team is the right fit for you.
For those with an interest in Amazon's Private Brands business, this role provides an exciting opportunity to dive deep into data and identify global quality improvement opportunities. Your role will involve optimizing our global supplier quality management program and building manufacturing excellence, as well as designing and implementing scalable Quality Assurance solutions in collaboration with Product Development, Sourcing and Tech teams. You will have the opportunity to learn and apply AI solutions to monitor, evaluate and improve supplier quality performance to ensure the highest quality products for our customers. You thrive in a highly collaborative, analytical, creative, and fast-paced environment. You have a strong inclination to get things done and deliver scalable results at speed. You also communicate concisely and effectively with multiple stakeholders (including business team and tech team) to drive meaningful quality improvements.
Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights
For those with an interest in Amazon's Private Brands business, this role provides an exciting opportunity to dive deep into data and identify global quality improvement opportunities. Your role will involve optimizing our global supplier quality management program and building manufacturing excellence, as well as designing and implementing scalable Quality Assurance solutions in collaboration with Product Development, Sourcing and Tech teams. You will have the opportunity to learn and apply AI solutions to monitor, evaluate and improve supplier quality performance to ensure the highest quality products for our customers. You thrive in a highly collaborative, analytical, creative, and fast-paced environment. You have a strong inclination to get things done and deliver scalable results at speed. You also communicate concisely and effectively with multiple stakeholders (including business team and tech team) to drive meaningful quality improvements.
Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights
