About this role
Company Description
MCA
Job Description
Key Responsibilities
1. 工业4.0与创新（占比30%）/ Industry 4.0 & Innovation (30%)
- 主导数字化落地项目，合理运用数据分析工具将纸质表单转化为数字化看板
Lead digitalization initiatives and make good use of data analysis tools to turn paper sheet into digital dashboard.
- 主导设备综合效率（OEE）相关工作，完善数据完整性、可用性、性能表现与质量维度，推动OEE标准在全工厂落地
English: Manage OEE activities to improve data integrity, Availability, Performance and Quality, promote OEE standardization throughout the plant.
- 落地设备利用率相关改进项目
Manage improvement activities on machine utilization.
- 引入办公自动化类新技术，提升整体工作效率
Introduce new technologies of office automatic system to boost working efficiency.
2. 流程分析与改进（占比20%）/ Process Analysis & Improvement (20%)
- 开展流程改善活动，识别并消除八大浪费，搭建更顺畅的物料流与信息流
Conduct process kaizen to identify and eliminate the 8 wastes and create better material flow and information flow.
- 运用数据分析与绩效指标，定位流程瓶颈、效率低下的根本原因以及可优化的空间
Utilize data analysis and performance metrics to identify bottlenecks, root causes of inefficiency, and areas for improvement.
- 设计并落地标准化作业、可视化管理体系以及最优生产布局方案
Design and implement standard work, visual management systems, and optimal manufacturing layouts.
3. 项目与改善周主导（占比20%）/ Project & Kaizen Leadership (20%)
- 主导并推动快速改善周（Kaizen）及相关项目全流程，覆盖从立项构思到落地执行、后续跟进的全周期
Lead and facilitate rapid improvement events (Kaizen) and projects from conception to implementation and follow-up.
- 制定项目章程，对齐业务目标明确项目范围、目标与交付成果
Develop project charters, define scope, goals, and deliverables in alignment with business objectives.
- 统筹项目进度、资源配置与利益相关方沟通，保障项目顺利达成预期结果
Manage project timelines, resources, and stakeholder communication to ensure successful outcomes.
- 统计并汇报项目成果，覆盖安全、质量、交付、成本、士气（SQDCM）维度的可量化指标
Measure and report on project results, including quantifiable metrics in Safety, Quality, Delivery, Cost, and Morale (SQDCM).
4. 培训与文化建设（占比20%）/ Training & Cultural Development (20%)
- 为团队成员、组长及主管提供精益原则与工具的指导与带教
Coach and mentor team members, team leaders, and supervisors on Lean principles and tools.
- 开发并输出培训材料，搭建内部精益能力体系
Develop and deliver training materials to build internal Lean capabilities.
- 充当变革推动者，打造主动解决问题的文化，覆盖并动员各层级员工参与
Act as a change agent, fostering a proactive problem-solving culture and engaging employees at all levels.
5. 可持续性与标准化（占比10%）/ Sustainability & Standardization (10%)
- 开展流程审计，确保全流程符合标准化要求，巩固已取得的改进成果
Audit processes to ensure compliance with standardization requirements and sustain gains.
- 搭建并维护关键绩效指标（KPI）看板，实时监控流程运行状态
Develop and maintain key performance indicator (KPI) dashboards to monitor process health.
Qualifications
Required
- 1. 本科或以上学历，工业工程、机械工程、制造工程、计算机科学或相关专业
Bachelor’s degree in Engineering (Industrial, Mechanical, Manufacturing, data science, computer science or related field).
- 2. 3年及以上在制造或运营场景中实操应用精益原则的工作经验
3+ years of hands-on experience applying Lean principles in a manufacturing or operations environment.
- 3. 优秀的数据分析能力，熟练使用微软Excel，有数据可视化工具使用经验者优先
Excellent data analysis skills with proficiency in Microsoft Excel; experience with data visualization tools is a plus.
- 4. 有主导成功改善周项目的实绩，能够交付可衡量的成果（包含成本节约、生产力提升或交付周期缩短等维度）
Proven track record of leading successful Kaizen events and delivering measurable results (cost savings, productivity increases, or lead time reduction).
- 5. 精通核心精益工具，包含5S、标准化作业、全员生产维护（TPM）、快速换模（SMED）以及根因分析方法（例如5Why分析法、鱼骨图）
Strong proficiency in core Lean tools: 5S, Standard Work, TPM, SMED, and Root Cause Analysis (e.g., 5 Whys, Fishbone).
- 6. 具有良好的沟通表达及协调能力
Exceptional facilitation, communication, and interpersonal skills, with the ability to influence without direct authority.
优先条件 / Preferred
- 1.有丰田生产方式（TPS）或同类精益框架相关经验
Experience with Toyota Production System (TPS) or similar Lean frameworks.
- 2. 掌握统计分析软件与数据工具（Minitab、PowerBI、Python、SQL、宏）
Knowledge of statistical analysis and data tools (Minitab, Powerbi, Python, SQL, Macro).
- 3. 英语口语与书面表达能力优秀
Good in both oral English and written English.
- 4. 持有精益六西格玛认证（绿带或黑带）者高度优先
Certification in Lean Six Sigma (Green Belt or Black Belt) is highly desirable.