Commodity Market Intelligence & Analytics Manager

• Enable and drive the Commodity Intelligence & Analytics capability, integrating market intelligence, commodity risk analytics, financial modeling, and inventory portfolio insights into a cohesive operating model for Procurement decision-making.
• Translate market, supplier, competitive, cost intelligence, geopolitical, and macroeconomic signals into actionable risk indicators, sourcing recommendations, and executive narratives.
• Deliver recurring market intelligence outputs, including daily market briefings, weekly market narratives, monthly market supply outlooks, and quarterly strategic outlooks for sourcing strategies.
• Own commodity cost forecasting and risk analytics, including 18-month cost forecasts, confidence intervals, supply and demand elasticity models, and risk scoring.
• Develop probability and risk-weighted pricing scenarios, supplier allocation forecasts, commodity cost outlooks, and market commentary to support Procurement, Finance, and business planning decisions.
• Convert commodity forecasts into business impact, including cash, P&L, margin sensitivity, and business planning deliverables.

• Market intelligence, including daily market briefings, weekly market narratives, monthly market supply outlooks, and quarterly sourcing strategy outlooks.
• Monthly commodity cost outlooks, probability and risk-weighted pricing scenarios, and supplier allocation forecasts.
• Rolling 18-month commodity enterprise cost forecasts
• Other business decision support, executive-level reporting, business performance management, and sourcing analysis, as needed.

• Academic degrees 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 actionable 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, including cash, P&L, margin sensitivity, budget assumptions, and long-range financial planning inputs.
• Ability to advise senior leaders on cost management, process improvement, tools, automation, governance, and execution cadence.

• Commodity analytics, market intelligence, competitive intelligence, sourcing strategy, category management, supply chain finance, procurement strategy, or cost intelligence experience.
• Exposure to memory, storage, servers, CSP, mobile, PC, or adjacent technology markets.
• Experience working with third-party industry analysts, supplier intelligence, competitive intelligence, and cost teardown insights.
• Familiarity with data science, statistics, commodity analysis, AI/ML-enabled forecasting, or financial modeling capabilities.

The pay range for this role is $116,150 to $182,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits: HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave
• US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.