阿里巴巴Lazada eLogistics-Automation Maintenance Manager-SSW / TPK
任职要求
• Bachelor's degree in engineering/ technical discipline - Electrical, Mechanical, Mechatronic, Electronic, Industrial Controls, Automation or similar required. Minimum of 5 years of related experience and/or training. • Minimum five years of supervisory experience in directing or leading the work of others preferred. • Ability to travel to various local sites as needed. • Experience in the following areas: • Automated conveyors systems and controls • Electrical and elect…
工作职责
• Develop and implement Automation Maintenance vision, policies, processes, procedures, maintenance standards and maintenance strategy • Responsible for setting up the automation maintenance team. • Manage an onsite team of maintenance engineers & technicians to provide 24/7 support. • Develop a Planned Preventative Maintenance (PM) schedule, ensure the scheduled preventative maintenance is carried out. • Develop Corrective Maintenance (CM) procedure and process, and ensure it is followed, and adapted as required. • Manage the team to analyze issues, find root causes, propose solutions, and implement them. • Set department objectives/KPIs and assess ongoing performance of direct reports. • Manage Automation Maintenance department headcount. • Establish a planned maintenance system to including reports to track maintenance activity, identify recurring faults, spare part inventory and spending. • Identify and implement an ongoing programmed of improvements to increase availability, increase productivity and reflect changing business needs. • Gather Automation Maintenance data, analyze data, generate reports and make presentations to update the management team and stake holders, on Automation Maintenance issues, status, potential implications, risks, recommend improvements. • Work collaboratively, negotiate and engage with key stakeholders to align with the maintenance strategy. • Work with HSSE and operations, to ensure the maintenance work is carried out safely, for the Maintenance Team, and for other Staff. • Develop a network of contractors and suppliers able to support our business 24/7. • Prepare the annual Maintenance budget. • Oversee management of inventory system and develop critical spare parts list. • Ensure the efficient and effective use of maintenance budget, to ensure adequate spare parts inventory, taking into account, local regional availability of stocks, delivery times, visits on site and Planed PM and CM requirements. • Manage the process of disposal of obsolete parts, plant and equipment. • Support any after-hours operational needs and activities as required • Supports new equipment installation, test & commissioning of equipment and taking over of new equipment from supplier according to contractual requirement with quality and within schedule. • Other assigned tasks as requested. • Execute facility program and planning in all Lazada Logistics facilities, such as Preventive Program Maintenance, Corrective Maintenance, facility service checklist implementation (maintenance, cleaning, pest control, and disinfectant)
1、 协助总部项目经理，负责项目现场管理，推动项目按计划执行落地； Assist the HQ project manager, be responsible for the project site management and push the implementation of the project as planned; 2、 负责对项目施工现场质量、进度的有效控制，并依据现场实际情况，更新项目周报； Control of the project quality and progress. Update the project weekly report accordingly; 3、 在施工过程中，能有效识别风险点，对问题点能反馈到相应责任人，并作跟踪； During the site installation and commissioning, be able to identify the risk and feedback to the responsible person to get a solution; 4、 能协调好外部分包商之间的关系，组织项目现场例会； Be able to coordinate the relationship with the project internal team and external subcontractors and suppliers, and organize regular project meeting; 5、 做好项目稳定上线的设备验收工作，组织操作团队对设备使用和运营维护培训； Participate to the equipment acceptance test, and organize training and introduction to operation team; 6、 能有效地发现设备运行中存在的问题，及时反馈问题兵推动解决； Basic maintenance knowledge, be able to find the equipment problems under engineer’s and the suppliers’ assistance.
Join Siemens Digital Industries for the world of tomorrow! Siemens Digital Industries (DI) is an innovator in industrial automation and digitalization. We seamlessly connect the physical and digital worlds with our Digital Enterprise solutions, with the help of a comprehensive "digital twin" for continuous cycle optimization. At the same time, we leverage unlimited data to empower unlimited opportunities for fast and confident decision-making, injecting acceleration into the transformation and sustainable development of industrial enterprises. You'll make an impact by 1. AI Product Strategy Planning & Execution Lead the development of industrial AI product strategies, integrating industry trends, customer needs, and the company’s technical capabilities to ensure alignment with the organization’s overall business objectives. 2. Cross-Domain Collaboration & Ecosystem Building Bridge AI innovation with business execution by collaborating deeply with internal experts from Siemens Technology and Digital Industries Software to integrate internal and external resources, accelerating the transformation of cutting-edge technologies into market-ready solutions. 3. Customer Insight & Solution Validation • Lead in-depth customer requirement mining (technical needs + business pain points); • Oversee end-to-end validation of AI solutions (requirement analysis → model development → PoC deployment), ensuring technical feasibility and quantifiable business value. 4. End-to-End AI Productization Management • Drive the full journey of AI products, from 0-to-1 (concept incubation) to 1-to-N (scaled deployment). Coordinate algorithm development, engineering execution, and customer delivery, balancing technological innovation with engineering practicality. • Collaborate with R&D, testing, and operations teams to champion standardized, modular product designs, improving reusability and elevating customer experience.
PurposeTo bridge business needs and AI capabilities by identifying, designing, and implementing AI-driven solutions that enhance operational efficiency, decision-making, and business innovation. This role acts as a key interface between business functions and IT, ensuring AI initiatives align with organizational goals. Strategic Value • Drive the execution of the company’s AI strategy in China, enabling smarter operations, automation, and data-driven decisions. • Support business growth, cost efficiency, and risk management through AI-enabled solutions with measurable business impact. • Foster an AI innovation culture and establish the foundation for broader organizational transformation. Key Responsibilities 1. Business Analysis – Engage with business stakeholders to understand workflows, challenges, and identify areas where AI can bring measurable improvements. 2. AI Solution Design & Implementation – Work with IT, data teams, and vendors to design and deliver feasible AI solutions aligned with business priorities. 3. Project Management – Manage AI projects end-to-end, ensuring timely and quality delivery with measurable business outcomes. 4. AI Enablement & Adoption – Drive AI adoption initiatives and promote organization-wide awareness and skill development in AI tools and automation. 5. Data & Compliance Alignment – Collaborate with Data Governance, Legal, and Compliance teams to ensure AI initiatives adhere to data protection and local regulations. 6. Performance Evaluation & Continuous Improvement – Measure business impact of AI initiatives and continuously refine solutions based on data-driven insights. Key Success Factors • Strong business acumen to identify valuable AI use cases and drive practical implementation. • Influential communicator who can translate complex AI concepts into actionable business terms. • Continuous learner with curiosity about AI trends, enterprise AI, and data management practices. • Innovative and agile mindset, capable of executing in a fast-evolving and uncertain environment. Key Internal Interfaces • Business Functions (Sales, CS, Manufacturing, HR, etc.) – Co-define AI project goals and business value. • IT & Data Teams – Collaborate on solution design, deployment, and maintenance. • Legal & Compliance – Ensure data protection and regulatory compliance. • Global AI/Digitalization Teams – Align with global strategies and share best practices. Qualifications • Bachelor’s degree or above in Computer Science, Information Management, Data Science, or related fields. • 5+ years of experience in IT, business analysis, or data-driven projects; prior experience in AI or automation initiatives preferred. • Strong understanding of Generative AI, machine learning, and data analytics concepts, with the ability to translate them into business value. • Excellent communication and stakeholder management skills across departments and cultures. • Proficiency in English (both written and spoken) for effective communication and reporting. 岗位目标 通过深入理解业务需求，识别可通过AI技术优化的场景，设计并推动AI解决方案在组织中的落地，提升业务效率、决策质量与创新能力。该岗位将作为业务部门与IT团队之间的桥梁，确保AI战略与业务发展目标保持一致。 岗位价值 • 推动公司在中国区的AI战略落地，帮助业务部门实现智能化、自动化和数据驱动决策。 • 通过AI解决方案支持业务增长、成本优化与风险控制，为公司创造可量化的业务价值。 • 构建跨部门协作的AI创新文化，为未来更广泛的AI转型奠定基础。 主要职责 1. 业务需求分析 – 深入了解各业务部门的流程、痛点与改进空间，识别AI可创造价值的机会。 2. AI解决方案设计与实施 – 与IT、数据团队及外部合作伙伴协作，定义AI解决方案的架构与实施路径。 3. 项目管理与落地 – 负责AI项目从需求定义到交付的全过程管理，确保项目按时、按质完成。 4. AI赋能与推广 – 推动AI工具（如Copilot、自动化、智能分析等）的应用，提升员工AI使用意识和技能。 5. 数据与合规协同 – 与数据治理、法务及合规团队合作，确保AI解决方案符合数据安全和本地监管要求。 6. 绩效评估与持续改进 – 通过数据分析评估AI项目的业务影响，持续优化方案。 关键成功要素 • 能从业务视角发现AI应用场景，并以结果为导向推动落地。 • 在跨部门沟通中具备影响力，能将复杂的AI概念转化为可执行的业务语言。 • 对AI趋势、企业级AI应用、以及数据管理具备持续学习和探索精神。 • 具备创新思维和敏捷执行力，能够在不确定的环境下推动项目向前。
