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GQ Ops Central Planning Strategic Planner

Micron Technology

GQ Ops Central Planning Strategic Planner

full-timePosted: Aug 26, 2026Updated: Sep 1, 2026Taiwan, Taichung - Fab 16

Job Description

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.Job ResponsibilityLead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations.Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams.Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness.Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution.Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations.Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights.Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.Identify, evaluate, and scale high-value AI use cases that improve business outcomes, productivity, quality, and operational effectiveness.Demonstrate responsible use of AI by ensuring compliance with data privacy, governance, security, and validation requirements.Partner with GQ leaders and cross-functional stakeholders to resolve planning gaps, align priorities, and drive strategic business decisions.Promote adoption of AI-enabled ways of working by developing best practices, reusable solutions, and knowledge-sharing mechanisms that enhance team capabilities. Job RequirementMaster's degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain, Business Analytics, or a related discipline; equivalent practical experience may be considered.2+ years of experience in semiconductor manufacturing, operations planning, industrial engineering, supply chain, quality operations, business analytics, productivity improvement, or process automation. High-potential recent graduates with strong analytical capabilities are also encouraged to apply.Strong understanding of operational planning, capacity management, workforce planning, productivity analysis, budget management, and business performance metrics.Proficiency in SQL, Python, Tableau, and data visualization techniques. Experience with Power BI, Power Apps, UiPath, or related digital solutions is preferred.Demonstrated experience using AI, analytics, digital technologies, or automation tools to drive productivity improvements, business insights, or operational efficiencies.Ability to leverage AI tools effectively to enhance work quality, simplify complex analysis, and enable data-driven decision-making.Strong analytical, communication, problem-solving, and stakeholder management skills. Preferred AttributesExperience applying AI-enabled solutions to solve business problems, automate workflows, improve planning accuracy, or optimize operational performance.Demonstrated curiosity and willingness to adopt emerging technologies and continuously improve ways of working.Self-motivated, adaptable, and effective in managing changing priorities in a dynamic global environment.Strong collaboration, leadership, and influencing skills with the ability to coach others and accelerate adoption of AI and digital capabilities.About Micron Technology, Inc.We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.To learn more, please visit micron.com/careersAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com. Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Locations

  • Taiwan, Taichung - Fab 16

Skills Required

  • semiconductor manufacturingintermediate
  • Power BIintermediate
  • SQLintermediate

Required Qualifications

  • Master's degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain, Business Analytics, or a related discipline; equivalent practical experience may be considered. (experience)
  • 2+ years of experience in semiconductor manufacturing, operations planning, industrial engineering, supply chain, quality operations, business analytics, productivity improvement, or process automation. High-potential recent graduates with strong analytical capabilities are also encouraged to apply. (experience, 2 years)
  • Strong understanding of operational planning, capacity management, workforce planning, productivity analysis, budget management, and business performance metrics. (experience)
  • Proficiency in SQL, Python, Tableau, and data visualization techniques. Experience with Power BI, Power Apps, UiPath, or related digital solutions is preferred. (experience)
  • Demonstrated experience using AI, analytics, digital technologies, or automation tools to drive productivity improvements, business insights, or operational efficiencies. (experience)
  • Ability to leverage AI tools effectively to enhance work quality, simplify complex analysis, and enable data-driven decision-making. (experience)
  • Strong analytical, communication, problem-solving, and stakeholder management skills. (experience)

Preferred Qualifications

  • Experience applying AI-enabled solutions to solve business problems, automate workflows, improve planning accuracy, or optimize operational performance. (experience)
  • Demonstrated curiosity and willingness to adopt emerging technologies and continuously improve ways of working. (experience)
  • Self-motivated, adaptable, and effective in managing changing priorities in a dynamic global environment. (experience)
  • Strong collaboration, leadership, and influencing skills with the ability to coach others and accelerate adoption of AI and digital capabilities. (experience)

Responsibilities

  • Lead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations.
  • Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams.
  • Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness.
  • Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution.
  • Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations.
  • Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights.
  • Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.
  • Identify, evaluate, and scale high-value AI use cases that improve business outcomes, productivity, quality, and operational effectiveness.
  • Demonstrate responsible use of AI by ensuring compliance with data privacy, governance, security, and validation requirements.
  • Partner with GQ leaders and cross-functional stakeholders to resolve planning gaps, align priorities, and drive strategic business decisions.
  • Promote adoption of AI-enabled ways of working by developing best practices, reusable solutions, and knowledge-sharing mechanisms that enhance team capabilities.
  • Lead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations.
  • Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams.
  • Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness.
  • Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution.
  • Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations.
  • Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights.
  • Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.
  • Identify, evaluate, and scale high-value AI use cases that improve business outcomes, productivity, quality, and operational effectiveness.
  • Demonstrate responsible use of AI by ensuring compliance with data privacy, governance, security, and validation requirements.
  • Partner with GQ leaders and cross-functional stakeholders to resolve planning gaps, align priorities, and drive strategic business decisions.
  • Promote adoption of AI-enabled ways of working by developing best practices, reusable solutions, and knowledge-sharing mechanisms that enhance team capabilities.

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