该职位来源于猎聘 Summary: As the Group Manager of Maintenance IT, you will serve as the digital brain of the maintenance organization. Your mission is to digitally transform the maintenance function into a mobile, visualized, and predictive maintenance ecosystem. You will lead the strategy, implementation, and continuous improvement of IT systems that support equipment uptime, engineer productivity, and spare parts optimization. 作为维修IT团队的负责人,您将成为维修部门的"数字大脑",通过数据和系统实现设备零宕机、工程师零等待、备件零浪费。您将全面主导维修数字化的战略制定与系统落地,打造移动化、可视化、预测性维护的智能化运维体系。 Responsibilities:
- Digital Maintenance Strategy & Roadmap (维修数字化战略与路线图)
Develop and execute a 18-month digital transformation roadmap covering CMMS, IoT sensors, AI prediction, Predictive Maintenance, mobile apps, and spare parts barcoding. Align with global IT and maintenance strategies to ensure standardization and scalability.
制定并执行维修数字化路线图,涵盖CMMS、IoT传感器、AI预测、预测性维护,移动端应用及备件条码化,确保与全球IT及维修战略一致。
- System Implementation & Integration (系统实施与集成)
Lead end-to-end system selection, implementation, customization, validation, training, and change management. Ensure 100% system adoption and KPI achievement.
负责系统选型、实施、二次开发、验证、培训及变更管理,确保系统100%上线并达成业务KPI。
- Data Governance & Standardization (数据治理与标准化)
Define master data standards for equipment, failure codes, and spare parts. Establish interfaces with MES, ERP, PLM, WMS, and SCADA systems to enable seamless data flow.
制定设备主数据、故障代码、备件编码标准,打通MES, ERP、PLM、WMS、SCADA等系统接口,实现数据闭环。
- Visualization & Reporting (可视化与报表)
Build real-time dashboards using Power BI or Tableau. Enable engineers to access actionable insights (e.g., today's tasks, spare part locations) within seconds on mobile devices.
搭建Power BI或Tableau实时仪表盘,实现工程师手机端秒级获取"今天修什么、备件在哪"等关键信息。
- Cybersecurity & Compliance (网络安全与合规)
Ensure OT/IT convergence meets industry security standards and corporate baselines; deploy network segmentation, asset whitelisting, and systematic patch management to keep plant floor and office systems resilient against cyber threats. 确保OT/IT融合符合行业安全标准与集团基线,通过网络分段、资产白名单和系统化补丁管理,保障生产现场与办公网络的网络安全与业务韧性。
- Team Management & Talent Development (团队管理与人才发展)
Build, lead and coach a high-performing internal IT team — developers, data engineers, MLOps specialists, IWS, etc. —through clear targets, regularly 1-on-1 coaching and individual development plans; Own the annual project budget and resource allocation, deploy stage-gate milestones and agile retrospectives to ensure on-time, on-scope and on-budget delivery while fostering a culture of continuous learning and innovation.
组建并带领一支高绩效的内部IT团队(含开发、数据工程、MLOps等),通过清晰目标、定期一对一辅导及个人发展计划持续赋能;统筹年度项目预算与资源分配,设立阶段门禁里程碑并开展敏捷回顾,确保项目按时、按质、按预算交付,同时营造持续学习与创新的团队文化。
- Continuous Improvement (持续改进)
Institutionalize a data-driven improvement loop: automatically mine equipment maintenance and IoT data for recurring losses, leverage IT technology to enable business to apply root-cause analysis, pilot countermeasures, and hard-wire validated solutions into standards—driving MTTR, cost, and downtime down quarter over quarter. 建立数据驱动的持续改进闭环:自动挖掘设备维修与 IoT 数据中的重复损失,运用 IT 技术赋能业务开展根因分析、验证对策并将有效方案固化到标准,实现 MTTR、维修费用与停机时间逐季递减。 Requirements:
Bachelor's degree or above in Computer Science, Automation, Industrial Engineering, Mechatronics, or related fields.
本科及以上学历,计算机、自动化、工业工程、机电一体化等相关专业。
(Must Qualification) Proven hands-on experience with Ignition platform (or equivalent SCADA/IIoT platforms) and IoT integration for smart maintenance, building management systems (BMS), energy management systems (EMS); successfully delivered projects leveraging Ignition (or equivalent) to connect edge devices, visualize real-time data and enable predictive analytics. 具备Ignition等平台及物联网集成实战经验,曾完成基于Ignition(或类似平台)的智能维修, 楼宇管理和能源管理系统项目,实现边缘设备接入、实时数据可视化与预测分析功能。 5+ years of experience in CMMS/EAM implementation in manufacturing environments; must have led at least one full-cycle project covering 2000+ assets. 5年以上制造业CMMS/EAM系统实施经验,至少主导过1个覆盖2000+设备的完整项目。
Hands-on experience with SAP PM, IBM Maximo, or Infor EAM; proficient in SQL for data cleaning and reporting. 熟悉SAP PM、IBM Maximo或Infor EAM其中之一,能独立编写SQL进行数据清洗与报表开发。 Familiar with PLC, SCADA, OPC UA, MQTT; able to convert equipment signals into maintenance work orders.熟悉PLC、SCADA、OPC UA、MQTT,能将设备信号转化为维修工单。
Strong awareness of OT cybersecurity; experience with industrial network segmentation and patch management.具备OT网络安全意识,有工厂网络分段、补丁管理经验。 Fluent in English (reading/writing); able to understand OEM technical documentation.英语读写流利,能看懂设备OEM技术文档。
Experience with Azure IoT, AWS Greengrass, or Edge AI for predictive maintenance.Azure IoT、AWS Greengrass或Edge AI预测性维护落地经验。
Familiar with Lean Manufacturing & TPM; able to communicate with engineers using MTBF/MTTR/OEE metrics.熟悉精益生产与TPM,能用MTBF/MTTR/OEE等指标与维修工程师对话。 Certifications such as PMP, ITIL, CISSP, or CISP.持有PMP、ITIL、CISSP、CISP等认证之一 Proficient in Python Ignition or Power Apps for rapid prototyping. 懂Python或Power Apps,可快速开发原型。