Director of Resource Optimization
2 weeks ago
This role ensures optimal resource allocation to meet customer demands and leads global capacity planning processes for the supply chain.
Key Responsibilities:- Map and digitize capacity across our factories in terms of equipment, floor space, headcount to drive planning activities and optimize manufacturing efficiency, stock levels, and costs.
- Analyze capacity constraints and footprint utilization: lead and own processes for demand flow verification, rough cut capacity planning, category-level production capacity what if, CSP issue resolution, drive and enable category-level supply chain improvement, inventory glide-path, and critical supply planning (CSP) health check.
- Drive manufacturing flexibility for our sites: standardize equipment and optimize factory organization for the mid and long term.
- Assess NPI capacity requirements as part of the product lifecycle management and incorporate any associated phase-out considerations.
- Lead capacity ahead of demand (CAOD) capex meeting: determine production capacity needs to meet changing demands of the products.
- Excellent product knowledge with understanding of test equipment and application range.
- Effective communication skills to present/communicate complex concepts to different audiences across functions and levels.
- Self-driven/proactive individual with strong ability to drive and influence without authority.
- Able to form and maintain good relationships internally and externally.
- Strong analytical skills, problem-solving skills, attention to details, and business acumen.
- Commercial and financial acumen with a strong understanding of cost of failure in production and order fulfillment.
- Strong numeracy, statistical, and reporting skills to analyze, interpret, and manage information, data, and trends.
- Demonstrate initiative, adaptability, and problem-solving skills in a dynamic environment.
- Prior experience in a capacity planning role, preferably in the semiconductor/high-technology or manufacturing/engineering environment.
- Good understanding of the semiconductor industry with knowledge of production/manufacturing processes and lead times.
- Experience or knowledge of statistics, forecasting, and management information methods and techniques.
- Experience in using SAP IBP, SAP Hana, SAP ECC, or relevant technologies supporting efficient working practices.
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