Senior AI-Driven Supply Planning & Analytics Lead

Quantum Technologies. LLC; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced leader to drive supply planning, demand planning, and analytics within the Consumer Electronics sector.

You will oversee end-to-end supply chain initiatives, forecast demand, plan supply, and optimize inventory using AI-driven insights. You will collaborate with Data Engineering, leverage Databricks, SQL, Python, and enterprise AI platforms to transform complex business requirements into actionable recommendations, presenting findings to senior

Qualifications

• 7+ years of experience in Supply Planning, Demand Planning, or Supply Chain Analytics.
• Consumer Electronics industry experience is mandatory.
• Strong knowledge of supply planning and demand planning processes.
• Hands-on experience with Databricks (DBX).
• Advanced SQL and data analytics capabilities.
• Experience with AI, Generative AI, and enterprise AI platforms.
• Experience collaborating with Data Engineering and data pipelines.

Responsibilities

• Lead end-to-end supply planning, demand planning, and analytics initiatives.
• Analyze and optimize end-to-end supply chain operations including forecasting and inventory management.
• Develop forecasting models and inventory optimization strategies.
• Collaborate with Data Engineering to design data pipelines and analytics solutions.
• Apply AI-driven analytics to identify risks and inefficiencies and present recommendations to leadership.

Skills

Supply planning

Demand planning

Supply chain analytics

Forecasting

Data analytics

Stakeholder management

Communication

Tools

Databricks (DBX)

SQL

Python

Spark

Job description

Quantum Technologies. LLC is seeking an experienced leader to drive supply planning, demand planning, and analytics within the Consumer Electronics sector.

You will oversee end-to-end supply chain initiatives, forecast demand, plan supply, and optimize inventory using AI-driven insights. You will collaborate with Data Engineering, leverage Databricks, SQL, Python, and enterprise AI platforms to transform complex business requirements into actionable recommendations, presenting findings to senior