Strategic Commodity Intelligence & Analytics Lead

HP; Spring (TX); On-site; USD 116,000 - 182,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off

Job summary

HP seeks a Commodity Market Intelligence & Analytics Manager to lead an integrated capability translating market intelligence, analytics, and modeling into pricing, sourcing, and risk management strategies. You will collaborate with Procurement and cross-functional partners to improve visibility, decision quality, and execution against total cost, inventory, and resiliency.

The role builds a durable operating model linking insights, forecasting, and supplier allocation to executive

Qualifications

• 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.

Responsibilities

• 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.

Skills

Finance translation

Economics knowledge

Data Science

Business analytics

Statistics

Applied Mathematics

Financial modeling

Market intelligence

Risk analytics

Executive communication

Education

Finance, Economics, Data Science, Business Analytics, Statistics, or Applied Mathematics

Tools

Financial modeling software

Statistical software

Job description

HP seeks a Commodity Market Intelligence & Analytics Manager to lead an integrated capability translating market intelligence, analytics, and modeling into pricing, sourcing, and risk management strategies. You will collaborate with Procurement and cross-functional partners to improve visibility, decision quality, and execution against total cost, inventory, and resiliency.

The role builds a durable operating model linking insights, forecasting, and supplier allocation to executive