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Key Responsibility
- Support SAP Ariba implementations and configurations for SLP, Sourcing, CLM, Commerce Automation, and Catalog Management modules, driving process improvements tailored to semiconductor supply chain complexities like high-precision sourcing and supplier risk.
- Analyze current procurement processes, identify inefficiencies, and implement optimizations using Ariba tools for supplier onboarding, contract lifecycle, sourcing events, and catalog syndication to enhance efficiency in fab operations.
- Collaborate with cross-functional teams (engineering, production, IT, suppliers) to integrate Ariba with SAP ERP, conduct user training, troubleshoot issues, and ensure data integrity/compliance in a high-stakes semiconductor environment.
- Monitor system performance, perform audits, generate reports on KPIs like cycle times and cost savings, and support continuous improvement initiatives for resilient supply chains.
Qualification
Bachelor’s Degree In One Of The Following Disciplines
- Electronics Engineering
- Electrical Engineering
- Materials Science/Engineering
- Physics
- Mechanical Engineering
- Industrial Engineering
- Production Engineering
- Supply Chain Management
- Logistics Management Or a closely related technical or management field
Experience
- 3 ~ 5 years Progressive experience in electronics manufacturing, procurement, and/or supply chain functions with exposure to SAP Ariba platform.
Essential Attributes
- Mindset & Drive: Demonstrates a growth mindset, high ownership, and a strong drive to learn, adapt, and create impact; curious, resilient, and eager to take on new challenges.
- Problem Solver: Strong analytical ability to break down complex problems, design practical solutions, and use data to support decisions.
- Initiative & Resourcefulness: Proactively takes initiative, is resourceful, and continually looks for opportunities to support and improve team outcomes.
- Procurement Process Knowledge: Solid understanding or strong interest in procurement, supply chain management, and supplier relations in a manufacturing environment.
- Data Literacy & Analytical Aptitude: Comfortable working with datasets and tools like Excel/Google Sheets; exposure to basic AI/ML concepts (e.g., predictive analytics, optimization) is a strong plus.
- Attention to Detail: Meticulous in planning, execution, and follow-up, ensuring accuracy and high-quality deliverables.
- Communication Skills: Clear and concise written and verbal communication, with the ability to collaborate effectively across teams and stakeholders.