Supply Chain Forecasting Lead

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced Supply Chain Forecasting Lead in San Jose, CA. The role focuses on demand forecasting, process improvements, and implementing forecasting solutions with AI/ML support.

You will assess current processes, gather requirements, and partner with data science and IT teams to deliver accurate forecasting results and actionable insights for business stakeholders.

Qualifications

• Experience in demand forecasting and S&OP processes.
• Ability to map current forecasting processes and drive improvements.
• Gather business requirements and lead functional design and implementation.
• Evaluate forecasting methodologies and select suitable approaches for business needs.

Responsibilities

• Assess and map existing forecasting processes, identify gaps, and drive process improvement initiatives.
• Gather business requirements and lead solution analysis, design, and implementation.
• Evaluate forecasting methodologies and recommend approaches for different business needs.
• Conduct fit-gap analysis and support forecasting solution selection and implementation.
• Collaborate with data science and technical teams on AI/ML-based forecasting solutions.
• Analyze large volumes of transactional data and enterprise integrations.
• Lead forecasting engagements from assessment through implementation.
• Validate forecasting outputs against scenarios and ensure accuracy and reliability.
• Analyze gaps between expected and actual results and recommend corrective actions.
• Work with stakeholders to align forecasting requirements and outcomes.

Skills

Demand Forecasting

Supply Chain Planning

Process Improvement

Requirements Gathering

Fit-Gap Analysis

AI/ML Forecasting

Data Integration

Tools

SAP IBP

Oracle

Blue Yonder

o9 Solutions

Job description

Job Overview

Job ID: J53263

Job Title: Supply Chain Forecasting Lead

Location: San Jose, CA

Duration: 12 Months + Extension

Domain Exposure: IT/Software

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

Job Description

We are looking for an experienced Supply Chain Forecasting Lead with strong expertise in demand forecasting, business process improvement, and forecasting solution implementation.

Key Responsibilities

• Assess and map existing forecasting processes, identify gaps, and drive process improvement initiatives.


• Gather business requirements and lead solution analysis, functional design, and implementation.


• Evaluate forecasting methodologies and recommend suitable approaches for different business needs.


• Conduct fit-gap analysis and support forecasting solution selection and implementation.


• Collaborate with data science and technical teams on AI/ML-based forecasting solutions.


• Analyze large volumes of transactional data, data dependencies, and enterprise application integrations.


• Lead forecasting engagements from initial assessment through solution implementation.


• Validate forecasting outputs against business scenarios and ensure accuracy and reliability.


• Analyze gaps between expected and actual forecasting results and recommend corrective actions.


• Work closely with business stakeholders to align forecasting requirements, process changes, and expected outcomes.

Required Skills

• Demand Forecasting and Supply Chain Planning


• Business Process Improvement and Reengineering


• Business Requirements Gathering and Functional Design


• Forecasting Solution Evaluation and Fit-Gap Analysis


• SAP IBP, Oracle, Blue Yonder, o9 Solutions, or similar forecasting platforms


• AI/ML-Based Forecasting Exposure


• Data Analysis, Data Dependencies, and Enterprise Integrations


• Stakeholder Management and Solution Implementation

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.