Job Description

This role is responsible for predicting and planning material consumption across The FAB Operations using advanced analytics and AI-driven models. 
Ensures uninterrupted manufacturing and research activities by translating tool utilization, process flows, and roadmap changes into accurate material demand forecasts and actionable planning insights.

Key Responsibilities

Fab SVP & R&D Material Forecasting Systems & Continuous Improvement

• Develop consumption forecasts for semiconductor materials including chemicals, wafers, consumables, and spare parts.
• Build rolling forecasts (weekly / monthly / quarterly / annual) aligned with FAB SVP and R&D capacity.
• Improve and enhance available in-line systems with AI models
• Drive continuous improvement initiatives in FAB material planning and analytics maturity
• Analyze historical material usage and identify key drivers of consumption variability in R&D vs SVP environment
• Highlight risks related to supply disruption, long lead-time materials, and single-source dependencies
• Recommend inventory buffers, safety stock, and mitigation actions based on AI projections 

AI-Driven Analytics & Modelling

• Apply AI techniques (time-series forecasting, regression, anomaly detection) to model material usage
• Use AI to detect abnormal consumption patterns (leaks, over-use, drift, process excursions)
• Automate forecasting models to reduce manual planning dependency and improve overall responsiveness

Cross-Functional Collaboration

• Work closely with Process Integration, Equipment Engineering, Fab Operations, Procurement, and Supply Chain
• Align forecasts with process qualifications, DOE runs, engineering lots, and technology transfers
• Support management and technical reviews with data-backed forecasts and clear assumptions
• Act as a bridge between technical teams and planning / procurement functions
• Provide Backup purchase enablers and able to multi-tasks as and when needed.

Requirements / Qualifications

• Bachelor's degree in Engineering (Chemical, Electrical, Materials, Industrial), Data Analytics, or related field
• Strong understanding of semiconductor fab or R&D operations
• Proven experience in material planning, consumption analysis, or process-linked forecasting
• Proficiency in data analytics tools (Excel advanced, Python, SQL, Power BI / Tableau)
• Ability to analyze complex datasets and translate them into operational decision.

Key Competencies

• Strong systems-thinking and forward-planning mindset
• High attention to detail with strong data governance discipline
• Ability to work under ambiguity, especially in R&D environments
• Confident communicator with both engineers and management