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部门介绍:
思科供应链在2017 Gartner供应链全球排名中名列第四。思科供应链全球制造运营部,负责管理亚太地区的产品生产及交付其中包括主板制造、装配、配送和代工工厂及供应商管理等活动。
在思科你可以接触到企业级的网络产品,与全球的资深工程师沟通交流。 你将拥有灵活的工作时间、地点的安排以及便捷的工作通讯。思科重视人才的获取与培养,你将会跟优秀和热心的领导和同事一起工作。思科不仅拥有技术经验丰富的运营团队,而且同时将先进的数字化技术(物联网、大数据分析、机器学习等)应用到供应链运营中,使员工能更加高效地解决问题 。
工作职责:
- 对代工厂和供应商进行日常管理,以确保产品符合思科制造标准
- 协调全球范围内研发、交付、物流等各大部门,迅速解决制造及测试流程中出现的问题
- 管理和推动制造领域的指标达成,如直通率、供应的连续性、库存水平,提高客户满意度
- 与商务部门密切合作,了解商务需求,提供制造端的技术支持
- 利用大数据平台对生产制造及测试流程中的数据进行高效处理及可视化展示,推动制造流程优化,减少运营成本
- 利用工业自动化、物联网、机器学习等技术实现对生产状态的实时监管,实现生产高度数字化
职位要求:
- 对新技术具有浓厚的兴趣并能够快速学习相应的技能
- 优秀的中英文书面和口头沟通能力和表达能力
- 自我激励,责任心强,有团队合作精神
- 具备良好的项目管理能力
- 以结果为导向,注重细节并能够提出富有创造力的解决方案
- 对工业工程、机械工程、硬件制造领域有一定的了解
- 掌握Python, Java, Javascript等一或多门编程语言,或有数据分析建模相关项目经历者优先考虑。
教育背景:
- 2018年毕业生。
- 技术领域的理工科硕士(机械/电气/工业工程专业优先)或同等学历。
Global Manufacturing Operation – Industrial Engineer - Shenzhen
Team Description:
Cisco Supply Chain achieved #4 in Gartner 2017 Supply Chain annual ranking. In Cisco GMO(Global Manufacturing Operation) department, you will be responsible for manufacturing/delivery including PCBA assembly, direct fulfillment and Contract Manufacturers/suppliers management
You will be responsible for enterprise level network products, and work with senior engineers from different regions in the world. You will have flexible work schedule, places and convenient working communication. Besides working in an experienced operation team, you will also utilize digitization technology into daily operation, so as to enhance execution and problem-resolving.
Responsibilities:
- Manage contract manufacturers and suppliers to meet Cisco manufacturing standard
- Coordinate with R&D, delivery and logistic departments to resolve incidents during manufacturing and testing process.
- Maintain key metrics in manufacturing including 6 sigma yield, delivery continuity and inventory, to achieve customer satisfaction.
- Collaborate with Program manager to understand business requirements and provide E2E technical support
- Utilize big data and visualization tool for manufacturing/testing data analysis, optimize workflow and achieve cost-saving.
- Utilize automation/IOT/Machine learning to realize real-time production monitoring/early-sensing, and achieve highly-digitization manufacturing.
Job Requirements:
- Fast learning capability and interested to learn new skillsets required at this role
- Excellent skills on verbal and written English
- Self-motivated, responsible and team-work spirit
- Excellent program management skill
- Results-driven with a strong attention to detail and creative problem solving skills
- Solid understanding of manufacturing & industrial engineering fundamentals
- Good at Python, Java, Javascript and data analysis/modeling will be a plus.
Education Eligibility Criteria:
- Graduates on the year 2018.
- Pursuing a master’s degree in Electrical Engineering, Manufacturing & Industrial Engineering or equivalent.