{"id":3009221,"url":"https://alion.io/job/hp-inc-program-manager-supply-chain-commodity-planning-analytics-transformation","title":"Program Manager, Supply Chain Commodity Planning, Analytics & Transformation","company":{"id":72,"name":"HP Inc.","domain":"hp.com","url":"https://alion.io/company/hewlett-packard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":168,"ghost_share":0,"stale_share":0.673,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Management","role_family":"Management","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":55000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1240},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-21T14:56:28Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T01:21:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Program Manager, Supply Chain Commodity Planning, Analytics & TransformationDescription -\nJOB SUMMARY\nHP 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.\nThis 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.\nThe 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.\nThe 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.\nThe 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.\nRESPONSIBILITIES\n1. COMMODITY PLANNING & BUSINESS PROCESS LEADERSHIP\nDevelop deep understanding of end-to-end Commodity Planning processes, business decisions, constraints and performance drivers across demand, supply, inventory and material availability.\nIdentify planning inefficiencies, decision gaps and opportunities for process transformation, advanced analytics, automation and AI-enabled decision support.\nTranslate complex business challenges into clearly structured problem statements, use cases, business requirements and measurable outcomes.\nDefine and evaluate planning trade-offs across inventory, material availability, cost, service, responsiveness and supply risk.\nPartner with commodity planners and cross-functional stakeholders to define decision rules, business constraints, exception-management approaches and operational requirements.\nChallenge existing planning practices and operating models where opportunities exist to simplify, standardize, automate or improve decision quality.\n2. ANALYTICS, AI & DECISION-SUPPORT TRANSFORMATION\nAct as a primary business partner to Data Science, Analytics and technical teams in the development and deployment of advanced planning capabilities.\nTranslate business problems and planning decisions into analytical requirements, decision frameworks, success criteria and expected business outcomes.\nPartner on initiatives including predictive analytics, demand sensing, inventory optimization, scenario planning, exception management and AI-enabled planning.\nEvaluate analytical outputs and model recommendations for business relevance, operational feasibility and decision-making effectiveness.\nLead business validation and user acceptance of analytical solutions, ensuring capabilities solve the intended planning problem rather than simply meeting technical specifications.\nIdentify opportunities to automate low-risk planning decisions while establishing appropriate exception, override and governance mechanisms.\nPromote effective use of analytics and AI while maintaining appropriate human decision-making, controls and business accountability.\nPartner with Data Science & Analytics teams to continuously improve analytical capabilities based on business performance, user feedback and evolving planning requirements.\n3. STRATEGY, ROADMAP & PORTFOLIO LEADERSHIP\nOwn and continuously evolve the Commodity Planning transformation roadmap and portfolio, establishing priorities based on business value, strategic alignment, analytical opportunity, implementation feasibility and organizational readiness.\nAlign the roadmap with broader Supply Chain Transformation priorities, business strategy and go-forward process and technology architecture.\nIndependently structure analytical approaches and develop project strategies using advanced supply chain and industry knowledge.\nIdentify, assess and prioritize transformation opportunities across planning processes, systems, analytics and automation.\nEstablish clear sequencing, dependencies and investment priorities across transformation initiatives.\nProvide strategic recommendations to senior leadership on planning transformation priorities, opportunities, risks and investment decisions.\nLeverage industry and subject-matter expertise to introduce innovative approaches, frameworks and leading practices into Commodity Planning.\n4. PROGRAM & CROSS-FUNCTIONAL LEADERSHIP\nLead complex, large-scale and cross-functional transformation programs from problem definition and planning through execution, implementation and stabilization.\nEstablish project scope, milestones, deliverables, dependencies, risks, governance and stakeholder responsibilities.\nCoordinate across Commodity Planning, Supply Chain Transformation, Data Science & Analytics, IT and other business and technical stakeholders.\nDrive prioritization and decision-making across competing business requirements and organizational priorities.\nProactively identify program risks, dependencies and barriers, and drive appropriate mitigation and resolution.\nNavigate organizational complexity and ambiguity while maintaining execution momentum and accountability.\nProvide leadership, mentoring and guidance to cross-functional project teams to achieve program objectives.\nEnsure transformation initiatives remain aligned with intended business outcomes throughout execution and avoid unnecessary scope or solution drift.\n5. BUSINESS CASE, PERFORMANCE & VALUE REALIZATION\nConduct investigations and develop business cases and financial analyses for supply chain transformation and analytics initiatives.\nDefine measurable success criteria, baseline performance and KPIs before implementation.\nUse benchmarking, statistical analysis and business performance data to identify improvement opportunities and develop new processes, strategies and capabilities.\nMonitor relevant planning performance dimensions including forecast performance, inventory, material availability, supply risk, planning productivity and exception resolution.\nQuantify and track realized business benefits following implementation.\nEvaluate whether implemented capabilities are delivering expected operational and financial outcomes and initiate corrective actions where required.\nUse performance insights to identify additional opportunities for continuous improvement and future roadmap development.\n6. CHANGE MANAGEMENT & BUSINESS ADOPTION\nOwn business readiness and adoption of new planning processes, analytical capabilities and tools.\nDevelop implementation strategies that integrate new capabilities into existing planning workflows and decision processes.\nLead business validation, user acceptance testing, process documentation, training and change-management activities.\nEstablish sustainable operating models, governance, controls and accountability for analytics-enabled planning.\nGather user feedback and work with technical teams to continuously improve deployed capabilities.\nDrive high adoption by ensuring solutions are relevant, intuitive and demonstrably improve planning effectiveness.\nDefine and monitor adoption metrics to ensure transformation initiatives translate into sustained behavioral and operational change.\n7. EXECUTIVE & CROSS-ORGANIZATIONAL LEADERSHIP\nConsult with senior business leaders on strategic Commodity Planning issues, transformation priorities, risks and opportunities.\nAct as a trusted advisor on planning transformation, analytics and emerging AI-enabled supply chain capabilities.\nCommunicate complex analytical, operational and technology topics clearly to both technical and non-technical stakeholders.\nInfluence stakeholders across organizational boundaries without necessarily having direct authority.\nLead alignment across business, analytics and technology organizations toward common transformation objectives.\nLeverage industry and subject-matter expertise to contribute innovative principles and ideas to supply chain strategy and transformation.\nDevelop reusable frameworks, methodologies, tools and templates that strengthen broader Supply Chain transformation capabilities.\nEDUCATION & EXPERIENCE\nRECOMMENDED\nBachelor's or Master's degree in Supply Chain Management, Industrial Engineering, Operations Research, Business Analytics, Engineering, Operations Management, Business Administration or a related discipline, or equivalent demonstrated experience.\nTypically 10+ years of relevant experience in supply chain planning, commodity/material planning, operations, analytics, transformation or related disciplines.\nStrong experience with end-to-end supply chain planning processes, preferably including commodity/material planning, demand and supply balancing, inventory management and supply constraints.\nDemonstrated experience leading large, complex and cross-functional transformation programs.\nExperience developing and managing strategic roadmaps and prioritizing transformation portfolios.\nExperience developing business cases, defining KPIs and quantifying business outcomes from transformation initiatives.\nDemonstrated ability to structure ambiguous business problems and develop analytical and strategic approaches independently.\nProven ability to execute against strategy and navigate organizational complexity, ambiguity and competing priorities.\nStrong executive communication, stakeholder management and influencing capabilities.\nANALYTICS & TECHNOLOGY\nStrong analytical capability and demonstrated ability to use data to structure problems, evaluate alternatives and drive decisions.\nExperience partnering with Data Science, Analytics, IT, engineering or other technical teams to deliver analytical or technology-enabled business capabilities.\nUnderstanding of forecasting, predictive analytics, optimization, scenario analysis and statistical concepts.\nAbility to interpret analytical and model outputs, challenge assumptions and translate findings into actionable business decisions.\nUnderstanding of decision science principles, including trade-off analysis, uncertainty, constraints and scenario-based decision-making.\nWorking knowledge of analytical and visualization tools such as SQL, Power BI, Tableau or equivalent is preferred.\nFamiliarity with AI/ML applications in supply chain planning and decision support is strongly advantageous.\nExperience with enterprise planning and supply chain technology platforms such as SAP, Kinaxis, o9, Blue Yonder or equivalent is advantageous.\nExperience across ERP, master data, product data and related supply chain technology architecture is advantageous.\nPython or other analytical programming experience is beneficial but not required.\nAbility to work effectively with technical teams without requiring hands-on ownership of data engineering or model development.\nPREFERRED EXPERIENCE\nExperience within technology, electronics, semiconductor, manufacturing or other complex global supply chain environments.\nExperience with commodity-level demand and supply planning, material constraints, component lifecycle management, allocation or supply-risk management.\nExperience leading digital, analytics or AI-enabled supply chain transformation initiatives at regional or global scale.\nExperience implementing scenario planning, optimization, demand sensing, predictive analytics or automated exception...","description_format":"text","description_chars":16726,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Supply Chain","Artificial Intelligence","Consumer Electronics","Hardware"],"lifecycle":[{"event":"open","at":"2026-10-21T14:56:28Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-22T04:43:33Z"},"pay":null,"html_url":"https://alion.io/job/hp-inc-program-manager-supply-chain-commodity-planning-analytics-transformation","json_url":"https://alion.io/job/hp-inc-program-manager-supply-chain-commodity-planning-analytics-transformation.json","meta":{"generated_at":"2026-10-22T04:43:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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