Supply Chain Specialist

Role and Responsibilities

Supply Chain Specialist

We are seeking a proactive and detail-oriented Supply Chain Specialist to join our Display Division. In this role, you will manage critical SCM processes including demand planning, WOS and channel inventory optimization. You will also lead the PSI (Product, Sales, Inventory) cadence in alignment with Key Account Managers and Product Managers, and interface closely with factory and logistics teams for timely execution. Additionally, this position leverages data analytics, programming, and workflow automation to drive continuous process improvements and forecasting precision.

·         Lead CPFR strategies to optimize demand forecasting accuracy, channel replenishment, and inventory turns across key accounts.

·         Monitor channel pipelines, sell-out deltas, and Weeks of Supply (WOS) to establish balanced inventory targets.

·         Prepare and facilitate regular PSI and business update sessions to address supply-demand imbalances.

·         Stabilize forecasting logic to ensure actionable Return to Forecast (RTF) visibility and clear model transition mapping.

·         Mitigate supply chain constraints by aligning mid-to-long-term demand forecasts with manufacturing capacity.

·         Coordinate lead-time management and international shipments with logistics to eliminate aging stock and resolve backorders.

·         Partner with Sales, Product Marketing, Finance, and HQ teams to achieve business objectives 

·         Track CPFR performance metrics, drive corrective actions, and mentor junior team members to maintain high operational standards.

Skills and Qualifications

·         3+ years of experience in professional experience and +1 Supply Chain experience

·         Bachelor’s degree in business management, supply chain, or related study preferred.

·         Microsoft Office and Tableau proficient, particularly advanced Excel skills.

·         SAP / Inventory planning experience up to 30 weeks out.

·         Proficiency in leveraging Large Language Model (LLM) tools (e.g., Claude, Gemini) to enhance supply chain processes, improve decision-making, and automate workflows is a plus.

·         Experience in data analysis, machine learning, or process automation is highly desirable.

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