# Program Manager, Supply Chain Commodity Planning, Analytics & Transformation at HP

HP is hiring a Program Manager, Supply Chain Commodity Planning, Analytics & Transformation in Taipei, Taiwan. Level rates it Works on AI ●●●○; you can [apply on HP](https://jobsbylevel.com/go/387ecc6a-3298-463c-a7c0-45dfdbc3c2b9?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Taipei, Taipei City, Taiwan Region.

## Details

- Company: [HP](https://jobsbylevel.com/companies/hp)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Taipei, Taipei City, Taiwan Region
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/387ecc6a-3298-463c-a7c0-45dfdbc3c2b9?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/program-manager-supply-chain-commodity-planning-analytics-transformation-at-hp-e176f0

## Description

Program Manager, Supply Chain Commodity Planning, Analytics & Transformation Description - JOB SUMMARY HP is seeking a highly experienced Program Manager, Supply Chain Commodity Planning, Analytics & Transformation to lead strategic transformation across Supply Chain Commodity Planning through advanced analytics, automation, process redesign and AI-enabled decision capabilities. This role will serve as a senior business leader and key interface between Commodity Planning, Supply Chain Transformation, and Data Science & Analytics teams, translating complex planning challenges into scalable business processes, analytical capabilities and decision solutions. The Principal Program Manager will independently define transformation strategies, own and evolve the Commodity Planning transformation roadmap, identify and prioritize high-value opportunities, and lead complex cross-functional programs from problem definition through implementation, adoption and value realization. The role requires deep supply chain planning expertise combined with structured problem solving, decision science, program leadership and technology fluency. The successful candidate will be expected to challenge existing planning practices, evaluate trade-offs across inventory, material availability, cost, responsiveness and risk, and influence senior stakeholders toward improved planning decisions and operating models. The role will partner closely with Data Science & Analytics teams on capabilities including predictive analytics, demand sensing, inventory optimization, scenario planning, exception management and AI-enabled planning, while maintaining clear business ownership of requirements, process design, adoption and business outcomes. RESPONSIBILITIES 1. COMMODITY PLANNING & BUSINESS PROCESS LEADERSHIP • Develop deep understanding of end-to-end Commodity Planning processes, business decisions, constraints and performance drivers across demand, supply, inventory and material availability. • Identify planning inefficiencies, decision gaps and opportunities for process transformation, advanced analytics, automation and AI-enabled decision support. • Translate complex business challenges into clearly structured problem statements, use cases, business requirements and measurable outcomes. • Define and evaluate planning trade-offs across inventory, material availability, cost, service, responsiveness and supply risk. • Partner with commodity planners and cross-functional stakeholders to define decision rules, business constraints, exception-management approaches and operational requirements. • Challenge existing planning practices and operating models where opportunities exist to simplify, standardize, automate or improve decision quality. 2. ANALYTICS, AI & DECISION-SUPPORT TRANSFORMATION • Act as a primary business partner to Data Science, Analytics and technical teams in the development and deployment of advanced planning capabilities. • Translate business problems and planning decisions into analytical requirements, decision frameworks, success criteria and expected business outcomes. • Partner on initiatives including predictive analytics, demand sensing, inventory optimization, scenario planning, exception management and AI-enabled planning. • Evaluate analytical outputs and model recommendations for business relevance, operational feasibility and decision-making effectiveness. • Lead business validation and user acceptance of analytical solutions, ensuring capabilities solve the intended planning problem rather than simply meeting technical specifications. • Identify opportunities to automate low-risk planning decisions while establishing appropriate exception, override and governance mechanisms. • Promote effective use of analytics and AI while maintaining appropriate human decision-making, controls and business accountability. • Partner with Data Science & Analytics teams to continuously improve analytical capabilities based on business performance,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/program-manager-supply-chain-commodity-planning-analytics-transformation-at-hp-e176f0

Source: https://jobsbylevel.com/jobs/program-manager-supply-chain-commodity-planning-analytics-transformation-at-hp-e176f0

## Cite this page

Level. https://jobsbylevel.com/jobs/program-manager-supply-chain-commodity-planning-analytics-transformation-at-hp-e176f0.

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