质量工程项目管理

该职位来源于猎聘 Summary of Position: The Project Manager – QE Application is responsible for driving quality planning, yield governance and digital quality system development with data management team to ensure reliable quality data, effective business planning and consistent quality processes. The position acts as a key interface between Quality, Operation ,Controlling, Digitalization and cross-site stakeholders, translating business and quality requirements into sustainable processes and system solutions. The role also supports management decision-making through robust data governance, structured analysis and cross-functional coordination. Responsibilities and Main Tasks:
• Lead yield validation and governance to ensure the reliability and integrity of reported yield data by validating data sources, calculation logic, YIP effectiveness, abnormal results and related quality performance indicators.
• Drive Quality Planning activities including Cost of Quality (CoQ), quality-related financial planning and performance tracking by coordinating with Controlling and relevant Quality functions to ensure consistent assumptions, transparent cost structures and reliable management reporting.
• Lead the development and continuous improvement of digital quality systems for the Shanghai plant by translating Quality requirements into system solutions and coordinating implementation, validation, deployment and enhancement with the Digitalization team and relevant stakeholders.
• Act as the key Quality interface for cross-site digital quality system alignment by coordinating with other BU plants to harmonize system concepts, data definitions, requirements and quality-related digital processes.
• Maintain and continuously improve the quotation yield methodology and underlying business logic by defining and reviewing yield assumptions, exceptional product conditions and additional yield-loss compensation requirements to ensure appropriate quality and manufacturing risks are reflected during quotation.
• Establish and maintain quality data governance and analytical standards by defining key data logic, validation principles and reporting requirements to improve data consistency, traceability and reliability for operational and management decisions.
• Manage cross-functional quality improvement projects by coordinating Quality, Production, Engineering, Finance, Controlling, Digitalization and other relevant functions to ensure agreed project objectives, deliverables and quality requirements are achieved.
• Support QE Application management with structured quality analysis, planning and continuous improvement initiatives by identifying gaps, evaluating risks and translating complex quality and business information into actionable recommendations.
• Support BU
- and plant-level quality initiatives, audits and management reviews where QE Application expertise, data analysis or system support is required.
• Maintain appropriate project documentation, business requirements, data definitions, validation records and relevant quality-system documentation.
• Support standardization and knowledge sharing of quality planning, yield governance and digital quality practices across functions and sites.
• Perform other quality-related projects and responsibilities assigned by QE Application management according to organizational and business needs. Requirement：
• Bachelor’s degree or above in Engineering, Quality Management, Manufacturing, Industrial Engineering, Data/Information Systems or a related discipline.
• Typically 5+ years of relevant experience in Quality Engineering, Quality Management, manufacturing quality, quality planning, data analytics, digitalization or related functions.
• Experience in a complex manufacturing environment is strongly preferred.
• Practical experience in yield management, quality planning, Cost of Quality, quality data analysis or digital quality systems is preferred.
• Experience working with cross-functional stakeholders such as Controlling, Production, Engineering and Digitalization/IT is highly desirable.
• Experience in PCB, semiconductor, electronics or other high-complexity manufacturing environments is an advantage.
• Formal people-management experience is not mandatory; however, demonstrated experience in project leadership and cross-functional stakeholder management is required.
• Experience leading cross-functional projects and coordinating stakeholders across different functions or manufacturing sites is preferred.
• Strong analytical and logical thinking, with the ability to understand complex quality, yield and business problems and translate them into structured solutions.
• Strong communication and stakeholder-management skills, especially when working across Quality, Operations, Finance, Controlling, Digitalization and different manufacturing sites.
• Solid understanding of quality management principles, yield management, quality planning and manufacturing processes.
• Strong capability in data validation and data governance, with attention to data accuracy, consistency, traceability and underlying calculation logic.
• Good understanding of project management, including requirement definition, stakeholder coordination, implementation tracking, risk management and result validation.
• Strong digital mindset and ability to translate Quality business requirements into system and data requirements.
• Good problem-solving capability with the ability to challenge assumptions, identify gaps and develop fact-based recommendations.
• Ability to work independently in a cross-functional and international environment and effectively manage multiple priorities.
• Proficiency in relevant data analysis and business tools; experience with manufacturing or quality information systems is preferred.
• Good command of English and Chinese, with the ability to communicate effectively with local and international stakeholders. Once a resume is submitted to the recruiting company, it is considered that the applicant agrees to the collection, processing, use, and disclosure of their resume and other personal information by the recruiting company for recruitment purposes. 一旦向招聘公司投递简历，即视为应聘者同意招聘公司基于招聘目的而对其简历和其他个人信息进行收集、处理、使用和披露等。