AI-Driven Supply Planning Analytics Lead

Machine Learning Technologies, LLC; Sunnyvale (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior professional to lead supply planning, demand planning, and analytics initiatives in the consumer electronics sector. You will analyze forecasting, optimize inventory, and drive end-to-end supply chain improvements using Databricks and AI-powered platforms.

Collaborate with data engineering to build scalable data pipelines and deliver actionable insights to senior leadership and C-level stakeholders, ensuring alignment with business goals and

Qualifications

• 7+ years of experience in supply planning, demand planning, or supply chain analytics.
• Mandatory Consumer Electronics industry experience.
• Hands-on Databricks (DBX) experience.
• Advanced SQL and data analytics skills.
• Experience with AI, Generative AI, and enterprise AI platforms.
• Experience with data engineering and data pipelines.
• Strong forecasting, inventory analytics, and supply chain optimization knowledge.
• Excellent analytical, communication, and stakeholder management skills.

Responsibilities

• Lead end-to-end supply planning, demand planning, and analytics initiatives.
• Analyze and optimize forecasting, inventory, and supply plans.
• Collaborate with data engineering to design data pipelines and analytics solutions.
• Work with AI platforms to enhance supply chain decision making.
• Present findings to senior leadership and stakeholders.

Skills

Supply Planning

Demand Planning

Supply Chain Analytics

Databricks

Advanced SQL

AI Platforms

Data Pipelines

Forecasting

Inventory Analytics

Stakeholder Management

Communication

Tools

Databricks

Python

Spark

Cloud Analytics

Job description

Machine Learning Technologies, LLC is seeking a senior professional to lead supply planning, demand planning, and analytics initiatives in the consumer electronics sector. You will analyze forecasting, optimize inventory, and drive end-to-end supply chain improvements using Databricks and AI-powered platforms.

Collaborate with data engineering to build scalable data pipelines and deliver actionable insights to senior leadership and C-level stakeholders, ensuring alignment with business goals and