Hybrid Supply Planner: AI-Driven Forecasts & Inventory

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an Intermediate Supply Planner to lead complex supply planning analyses and develop actionable business plans for constrained portfolios. You will act as a subject matter expert, creating sophisticated analytical models to improve supply execution, customer delivery, inventory and financial outcomes.

The role involves governance of forecasts, what-if scenarios, and leveraging AI/ML-enabled insights, with mentorship responsibilities to drive standardization

Qualifications

• Bachelor's degree or equivalent; MBA preferred.
• Typically 5-9 years of experience in supply planning, operations, strategy, finance or related areas.

Responsibilities

• Own quality, assumptions and governance of JBAS forecasts for complex SKU portfolios, with clear distinction between firm commitments and judged supply.
• Lead constrained-supply what-if scenarios, factory alternatives, build prioritization and inventory/revenue trade-off analysis.
• Drive AI/ML-supported exception detection, advanced supply analytics and digital-twin-enabled decision support, validating analytical outputs before operational use.
• Mentor Specialists and drive measurable process standardization and automation.

Skills

Analytical thinking

Financial modeling

Excel

Access

Statistics

Project management

Cross-functional collaboration

Communication

Leadership

Data analysis

Education

Bachelor's degree or equivalent

MBA preferred

Tools

Excel

Access

Statistical analysis software

Job description

Hewlett Packard Enterprise is seeking an Intermediate Supply Planner to lead complex supply planning analyses and develop actionable business plans for constrained portfolios. You will act as a subject matter expert, creating sophisticated analytical models to improve supply execution, customer delivery, inventory and financial outcomes.

The role involves governance of forecasts, what-if scenarios, and leveraging AI/ML-enabled insights, with mentorship responsibilities to drive standardization