Thailand Job Openings
Hewlett Packard
Demand & Supply Planning Manager
October 20, 2024
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Manages a broad range of moderately complex supply chain processes, such as inventory analysis and planning, demand management, logistics management, and import/ export operations typically with a large or complex global business unit.
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Coordinate and negotiate with suppliers and/ or manufacturers.
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Independently executes the demand and supply matching activities, connecting planning to execution, and identifying issues and their impact.
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Drives backlog management.
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Gathers demand data from country, region and account managers to synthesize information using complex analyses, and delivers demand signals to the supply base to contribute to demand forecasting.
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Coordinates or leads regional and global business unit planning teams to maintain and enhance the current business processes.
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Reviews performance metrics on a regular basis, identifying opportunities for improvement.
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Contributes to priority projects with complex analyses and assists in developing recommendations.
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Coordinates, develops, and manages a Regulatory Trade Compliance program.
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First level university degree or equivalent experience; may have advanced university degree.
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Typically 4-6 years of experience in Commodity/ Material planning
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Strong understanding of supply chain processes (plan, source, make, and deliver).
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Very strong analytical and data modeling skills.
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Very strong communication and influencing skills; mastery in English and local Thailand language.
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Proven relationship management skills.
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Strong knowledge of Microsoft Office skills (Excel, Power Point, etc.), statistical analysis, and financial modeling.
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Extensive understanding of Material Requirements Planning (MRP), Available to Promise (ATP) and master scheduling.
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Good understanding of national and international trade requirements to align customs/ trade function with business objectives.
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Thorough knowledge of inventory analysis.
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Developed leadership skills including team-building and conflict resolution and management.
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Strong data analytical skills.
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Strong data modeling and processing skills.
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Handle lots of different worksheets/ datasets and automate the process to the format/ output, even database; and present the result with visualized charts.
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Preferred techniques and experiences are Python/ VBA/ SQL/ MS Power Platform (Power BI, Power Apps,…etc. ).
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