Commodity Market Intelligence & Analytics Manager

What you'll do

• Build and operate an integrated commodity intelligence, analytics, and inventory strategy capability for Procurement.
• Deliver recurring market outlooks, commodity cost forecasts, pricing scenarios, supplier allocation forecasts, and risk analytics.
• Translate forecasts into financial impacts and executive recommendations on cash, P&L, margins, and business planning.

What they ask for

• Academic degree and professional experience in Finance, Economics, Data Science, Business Analytics, Statistics, or Applied Mathematics.
• Experience translating industry, supplier, competitive, cost, geopolitical, and macroeconomic intelligence into sourcing and risk-management recommendations.
• Strong understanding of commodity markets, cost forecasting, statistical modeling, confidence intervals, supply and demand elasticity, and risk scoring.
• Ability to connect commodity forecasts to financial impact and advise senior leaders on cost management, process improvement, tools, automation, governance, and execution.

Nice to have

• Experience in commodity analytics, market intelligence, sourcing strategy, category management, supply chain finance, procurement strategy, or cost intelligence.
• Exposure to memory, storage, servers, CSP, mobile, PC, or adjacent technology markets; third-party intelligence or cost teardown insights; or AI/ML-enabled forecasting.

Pay

$116,150 to $182,400 USD annually (base salary); additional bonus and/or equity opportunities are mentioned, with no amounts stated.

Tools

AI/ML

AI focus

Preferred familiarity with AI/ML-enabled forecasting; no specific AI development duties are stated.