Senior Supply Chain Analytics Lead Consultant

MACHINE LEARNING TECHNOLOGIES LLC

Santa Clara (CA)

On-site

USD 83,000 - 152,000

Full time

4 days ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Supply Chain Analytics Lead Consultant in Santa Clara, CA to design and maintain dashboards for monitoring key supply chain KPIs and to perform in-depth analysis of semiconductor domain data. You will apply AI/ML techniques to improve demand forecasting and optimize inventory placement while collaborating with cross-functional teams.

You will lead projects related to S&OP, MRP, and inventory control, and drive digitalization efforts across

Qualifications

  • Lead the design, development, and maintenance of advanced dashboards and reports for monitoring key supply chain KPIs.
  • Analyze large, complex supply chain datasets to identify trends and root causes of inefficiencies in the semiconductor domain.
  • Apply statistical models, predictive analytics, and AI/ML techniques to improve demand forecasting and inventory optimization.

Responsibilities

  • Consult with cross-functional stakeholders to gather requirements and implement data-driven strategies.
  • Lead or support S&OP, MRP, and inventory control initiatives in fabless, IDM, or foundry models.
  • Identify opportunities for automation and digitalization across procurement, manufacturing planning, and logistics.
  • Develop data flow integrations between planning tools and ERP systems (e.g., SAP IBP/APO, Kinaxis, Oracle).
  • Mentor junior analysts to foster continuous improvement and analytical rigor.

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Supply Chain Analytics Lead Consultant in Santa Clara, CA to design and maintain dashboards for monitoring key supply chain KPIs and to perform in-depth analysis of semiconductor domain data. You will apply AI/ML techniques to improve demand forecasting and optimize inventory placement while collaborating with cross-functional teams.

You will lead projects related to S&OP, MRP, and inventory control, and drive digitalization efforts across

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