Supply Chain Analytics Lead Consultant

MACHINE LEARNING TECHNOLOGIES LLC; Santa Clara (CA); On-site; USD 83,000 - 152,000; Full time

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

Job Overview

• Job ID: J51969
• Job Title: Supply Chain Analytics Lead Consultant
• Location: Santa Clara, CA
• Duration: 11 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Data Analysis & Insight Generation

• Lead the design, development, and maintenance of advanced dashboards and reports for monitoring key supply chain KPIs (e.g., inventory levels, demand forecast accuracy, on-time delivery, supplier performance).
• Perform in-depth analysis of large, complex supply chain datasets (planning, procurement, manufacturing, logistics) to identify trends, patterns, and root causes of inefficiencies specific to the semiconductor domain.
• Utilize statistical models, predictive analytics, and AI/ML techniques to improve demand forecasting, optimize inventory placement (especially high-value components/wafers), and mitigate supply chain risks.
• Develop network design and optimization models to rationalize operational assets and networks, considering international borders and trade compliance complexities inherent in the semiconductor value chain.
• Drive thought leadership by researching and analyzing market trends, competitor strategies, and industry benchmarks to provide strategic insights to clients or senior management.

Supply Chain Optimization & Consulting

• Consult with cross-functional stakeholders (Planning, Manufacturing, Procurement, Finance, IT) to gather business requirements and implement data-driven strategies that drive operational excellence.
• Lead or support projects related to Sales & Operations Planning (S&OP), Material Requirements Planning (MRP), and inventory control strategy, particularly in a fabless, IDM, or foundry modelcontext.
• Identify opportunities for process improvement, automation, and digitalization across procurement (e.g., source-to-pay), manufacturing planning, and logistics.
• Provide expertise in integrating and optimizing data flow between various planning tools and ERP systems (e.g., SAP IBP/APO, Kinaxis, Oracle).
• Develop TCO (Total Cost of Ownership) models and business cases for strategic supply chain initiatives, securing buy-in from stakeholders.

Stakeholder Management & Team Leadership

• Manage project workstreams, ensuring timely delivery of client-ready deliverables and value realization.
• Effectively communicate complex analytical findings and strategic recommendations to both technical and executive audiences.
• Mentor and coach junior analysts, fostering a culture of continuous improvement and analytical rigor.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.