PCB Supply Chain Program Manager

PCB Supply Chain Program Manager Location: Taipei, Taiwan

Experience Level: Mid

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Minimum Qualifications:

• Bachelor's degree in Data Analytics, Supply Chain Analytics, Industrial Engineering, or a related technical field, or equivalent practical experience.
• 4 years of experience in multi-disciplined procurement, leading strategy development, execution and sourcing or a related function.

Preferred Qualifications:

• 3 years of experience in building scalable data models, database schemas, and pipelines.
• Experience building demand/supply models, CTB trackers, operation performance via Material Requirements Planning (MRP)/ERP/Kinaxis/E2Open data analysis.
• Expert proficiency in SQL and Python for data transformation, automation, and analytics.

About the Job Commodity Managers work with Engineering teams to make sure Google has the supplies and equipment to put into production the innovative products coming from our Engineering teams. As a Commodity Manager, you use your wide industry knowledge and strategic supplier relationships to optimize our total cost of ownership for our global -- and growing -- infrastructure. The scale at which Google operates means that savings on just one piece of hardware can have a huge impact on Google's bottom line.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Model multi-tier supply assurance, allocation splits, and buffer health across New Product Introduction (NPI)/sustaining lifecycles using predictive analytics to preempt bottlenecks.
• Establish high-fidelity Clear-to-Build (CTB) dashboards to proactively identify allocation gaps, yield fluctuations, material risks, supplier lead-time drift, etc.
• Architect scalable planning models reconciling aggregate forecasts with tier-1 fab capacity, tier-2 material constraints, and multi-source Enterprise Resource Planning (ERP)/Kinaxis/E2Open data.
• Build automated pipelines tracking daily production line utilization, Work-in-Progress (WIP) stages, lot throughput, and supplier delivery adherence.
• Partner with sourcing, engineering, and contract manufacturers to implement AI/agent-driven readiness frameworks, standardize taxonomies, and streamline workflows.

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