Lead Logistics Automation Specialist at Maersk in Hồ Chí Minh

  • Company: Maersk
  • Location: Vietnam, Hồ Chí Minh, Ho Chi Minh City, 71100
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-14

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Job description

As a Lead Logistics Automation & Operational Excellence Specialist, you will support the digital transformation and continuous improvement of Supply Chain Management operations. The role focuses on developing and implementing automation solutions, analyzing operational data, and driving process improvements across key SCM activities, including Planning, System Updates, CBL Checking, Documentation, and Financial Operations. You will be responsible for identifying automation opportunities and developing solutions that reduce manual effort, improve processing time, enhance data quality, and increase operational efficiency. You will also support the deployment and maintenance of automation solutions in the production environment. The role will work closely with Operations teams, Customer Experience teams, Super Users, and Technical teams to translate business needs into practical and sustainable solutions We offer Join our Continuous Improvement team and build practical expertise in automation, analytics, and process improvement within a global logistics environment. We offer a dynamic and rewarding work environment where you can: Develop hands-on expertise in automation development for logistics systems, shipment data management, and SCM processes. Gain exposure to end-to-end SCM workflows, including Planning, System Updates, CBL Checking, Documentation, and Financial Operations. Design, develop, test, deploy, and maintain automation solutions used in daily operations. Work with global stakeholders, Customer Experience teams, operational teams, Subject Matter Experts, and Technical teams. Strengthen your analytical, problem-solving, project management, and continuous improvement capabilities. Gain practical experience with Python, VBA, Power BI, Microsoft Power Platform, and AI-enabled productivity tools. Participate in digital transformation, process improvement, and system enhancement initiatives. Build a strong foundation for future career development within Supply Chain Management, Logistics Operations, Automation, Data Analytics, and Operational Excellence. At Maersk, we value diversity and inclusion. We believe that every individual brings unique perspectives and experiences that contribute to our success. We are committed to creating a workplace where everyone feels valued, respected, and empowered to reach their full potential. Key Responsibilities 1. Automation Identify and assess automation opportunities across SCM operational processes. Design, develop, test, deploy, and maintain automation solutions using Python, VBA, and other relevant technologies. Translate business requirements into practical, scalable, and user-friendly automation solutions. Monitor automation performance in the production environment and resolve issues in a timely manner. Explore and apply AI-enabled solutions to reduce manual effort, accelerate task completion, and improve operational decision-making. Track the benefits delivered by automation initiatives, with a primary focus on hours saved and FTE efficiency. 2. Data analysis Collect, clean, validate, and analyze operational data across different SCM functions. Identify trends, performance gaps, root causes, and improvement opportunities through data analysis. Develop and maintain Power BI dashboards and operational reports for daily management and performance monitoring. Provide data-driven insights related to cost, FTE efficiency, processing time, productivity, quality, and operational performance. Ensure that reports and dashboards are accurate, consistent, user-friendly, and aligned with stakeholder requirements. 3. Continuous Improvement Business Partner Partner with operational teams to identify pain points, process inefficiencies, manual activities, control gaps, and improvement opportunities. Apply continuous improvement and Lean principles to eliminate waste, reduce process variation, and improve operational performance. Support the prioritization of improvement opportunities based o

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