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HP

Commodity Market Intelligence & Analytics Manager

  • Office
  • 6+ years

Salary

$116,150 - 182,400/ year

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Description

Role Summary

The Manager, Commodity Intelligence & Analytics will drive an integrated capability that translates market intelligence, commodity analytics, and financial modeling into actionable pricing, sourcing, supply assurance, and risk management strategies. This role will span Procurement commodity teams and cross-functional partners to improve visibility, decision quality, and execution against total cost, inventory, resiliency, and strategic sourcing goals.

The role will be accountable for building and sustaining a durable operating model that connects market insights, cost forecasting, scenario modeling, supplier allocation outlooks, and inventory portfolio strategy into executive-level recommendations and measurable business outcomes. The role will serve as a trusted advisor to senior leadership, leveraging robust analytical and market intelligence insights to advise on business-critical decisions.

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.
  • Core 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.
  • Required Experience and Capabilities
  • 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.
  • Preferred Background
  • 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.

Conditions

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.
  • Job -
  • Supply Chain & Operations
  • Schedule -
  • Full time
  • Shift -
  • No shift premium (United States of America)
  • Travel -
  • Relocation -
  • Yes

Where you’d work

From the office

About the company

HP

Office in United States

Also hiring in United Kingdom, Bucharest, Romania, Barcelona, Spain and 16 more places

13 of their 160 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 2 red flags

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14 checks

1 red flag

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7 checks

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Details11 facts · Role, Location, Compensation, Employment
Seniority
Lead
Type
Full-time
Equity
Equity offered
Specialty
Data Analyst
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Lead
Experience
6+ years

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$116,150 - 182,400 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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