AI-Driven Supply Planning Analytics Lead (Databricks)

Sibitalent Corp; Sunnyvale (CA); On-site; USD 120,000 - 185,000; Full time

Job summary

Sibitalent Corp in Sunnyvale, CA is seeking a Supply Planning Analytics Consultant for a 12-month engagement to optimize supply planning, forecasting, inventory, and analytics initiatives.

The role requires experience in consumer electronics, AI-powered analytics, and Databricks-driven data environments; you will partner with data engineers to enhance data pipelines, develop dashboards and KPIs, and deliver data-informed planning decisions.

Qualifications

• 7+ years of Supply Planning, Demand Planning, or Supply Chain Analytics experience.
• Consumer Electronics industry experience required.
• Strong functional knowledge of supply planning processes.
• Experience leveraging AI, Generative AI, or enterprise AI platforms for business analytics.
• Hands-on experience with Databricks (DBX).
• Experience working with Data Engineering teams on data pipelines and analytics solutions.

Responsibilities

• Support supply planning, forecasting, inventory, and operational planning initiatives.
• Utilize AI-powered analytics tools and LLM-based solutions to generate business insights and improve decision-making.
• Analyze large datasets to identify trends, risks, and opportunities.
• Partner with Data Engineering teams to support and enhance data pipelines and analytics workflows in Databricks (DBX).
• Develop reporting, dashboards, KPIs, and planning metrics.
• Collaborate with business stakeholders to drive data-informed planning decisions.

Skills

Supply Planning

Demand Planning

AI analytics

SQL

Advanced analytics

Cross-functional collaboration

Tools

Databricks (DBX)

Data Engineering collaboration

Spark

Job description

Sibitalent Corp in Sunnyvale, CA is seeking a Supply Planning Analytics Consultant for a 12-month engagement to optimize supply planning, forecasting, inventory, and analytics initiatives.

The role requires experience in consumer electronics, AI-powered analytics, and Databricks-driven data environments; you will partner with data engineers to enhance data pipelines, develop dashboards and KPIs, and deliver data-informed planning decisions.