Liam Hsiao 蕭吏涵
Program management professional with almost 10 years of diverse Supply Chain experience focused on operational excellence and strategy execution. Continually develop the innovative solution to help the organization step in digital transformation, and engage in process improvement using Lean Six Sigma methodology to globally optimize end-to-end operation. Besides, with a robust process to aggregate the data combining with machine learning, artificial intelligence, and big data, deliver index and dashboard for making the decision.
Email: [email protected] Phone: 0975215959
Working Experience
Hewlett-Packard Company, Apr 2011 ~ Present
Process Improvement Project Manager, Supply Chain
- As an SME of global team; involving in supply chain projects, process definition, and business operation professionals, responsible for all data, operational processes and system related processes in support of Notebook, Desktop, and Mobility supply chain.
- Develop and Manage the end to end data flow and business processes to perform the intelligent supply network system solution
- Coordinate and Implement supply chain projects across ODMs, third-party information vendor, and internal regional partners
- Acquire system requirements to deliver actionable information to business users to support the growing business landscape
- Manage software development projects and coordinate the implementation.
Business Intelligence Project Manager
- Lead partner system onboarding projects
- Implement SAP ERP(IBP) system.
- Design and build material supply planning process
- Identified and fixed planning system issue
- Lead and Manage internal IT projects
Product Engineering Data Manager
- Acted as NPI team member and focal point with ODM for supporting NPI module engineering data fulfillment.
- Cooperated with R&D/Planner/Procurement/ODM to build up bill of materials (BOM).
- Engaged in many projects to come up with process solution and system execution strategy
AU Optronics Corp, Aug 2008 ~ Mar 2011
Senior Engineer
- Factory quality control operation
- Consolidate process defects and come up with a recovery plan
- Lead process improvement projects
- Support new product launch and experimental verification
