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Transform supply chain planning from reactive analysis to AI-enabled scenario modeling to improve decision quality and speed. Design and maintain reusable capacity planning frameworks and provide analytical decision support for global supply chain planners.
Requires a Bachelor's degree in a quantitative field and 5-8 years of experience in supply chain planning or operations analytics. Must possess fundamental knowledge of S&OP/S&OE and experience working with large datasets and planning systems.
Role Summary
The Scenario Supply Planning AI Lead is an individual contributor within the Global Supply Chain Planning organization who will help to transform supply chain planning from static, reactive analysis into dynamic, AI-enabled scenario modeling. The role is responsible for improving the quality, speed, and consistency of planning decisions through structured scenario analysis, simulation, and analytical decision support.
The role partners closely with Global Supply Chain Planners to evaluate complex planning questions, develop reusable scenario frameworks, standardize analytical workflows, and improve planner productivity through the effective use of enterprise AI tools, automation, and analytics.
This is not an AI engineering, Machine Learning, or Data Science role. AI is used as an enabling capability to accelerate analysis, automate repetitive work, and improve decision quality.
Key Responsibilities
Scenario Planning & Decision Support
- Design, execute, and maintain reusable capacity planning scenarios for recurring business problems.
- Translate ambiguous business questions into structured what-if analyses with clear assumptions, constraints, and expected outcomes.
- Evaluate capacity trade-offs across service, cost, utilization, inventory, and operational risk.
- Develop decision-ready recommendations with supporting evidence, sensitivity analysis, and quantified business impact.
- Support planners during capacity disruptions, supply constraints, demand changes, new product introductions, and strategic planning exercises.
- Continuously improve scenario templates based on business outcomes and planner feedback
The role partners closely with:
Global Supply Chain Planning
Supply Planning
Manufacturing Operations
Business Planning
Data & Analytics teams
Required Qualification:
- Bachelor’s degree in Supply Chain, Industrial Engineering, Data Science, Operations Research, Computer Science, Business Analytics, or a related field;
- 5–8 years of relevant experience in supply chain planning, demand planning, supply planning, SIOP/IBP, operations analytics, inventory management, or planning technology.
- Fundamental knowledge on Supply planning, Global Supply Chain Planning, S&OP / S&OE
- Experience working with large datasets, planning systems, ERP data, forecasting outputs, or supply chain performance metrics.
Typical Deliverables:
- Capacity scenario analyses
- What-if simulations
- Decision recommendation packs
- Executive-ready scenario summaries
- Scenario comparison dashboards
- Power BI reports
- SQL and Python analytical utilities
- Copilot prompt libraries
- Scenario playbooks
- Planning process documentation
- Post-scenario learning reviews
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Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
HP, for your best work.
Offices: 1501 Page Mill Road, Palo Alto, CA 94304, US · Cami de Can Graells, 1, Sant Cugat del Valles, Catalonia 08174, ES · Soseaua Fabrica de Glucoza 5, Bucharest, Bucharest 020331, RO · Engholm Parkvej 8, Lillerod, Capital Region 3450, DK · 11311 W Chinden Blvd, Boise, ID 83714, US
HP, for your best work.
Offices: 1501 Page Mill Road, Palo Alto, CA 94304, US · Cami de Can Graells, 1, Sant Cugat del Valles, Catalonia 08174, ES · Soseaua Fabrica de Glucoza 5, Bucharest, Bucharest 020331, RO · Engholm Parkvej 8, Lillerod, Capital Region 3450, DK · 11311 W Chinden Blvd, Boise, ID 83714, US
