Data Center Capacity Planner
Micron · Boise, United States · 1mo ago
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.
In this role, the main focus will be on capacity planning, forecasting, and lifecycle management across Micron's global data center and hybrid cloud infrastructure environments. You will partner closely with Manufacturing, Engineering, SMAI, and Corporate IT teams to translate business demand into actionable infrastructure plans while driving capacity optimization, refresh planning, and governance processes. This role will employ AI-enabled tools, advanced analytics, automation, predictive modeling, and digital infrastructure planning capabilities to improve forecasting accuracy, investment decisions, operational efficiency, and infrastructure readiness. You will help ensure compute, storage, network, power, cooling, and facility resources are available to support business growth, operational resilience, AI workloads, and technology modernization across Micron's global infrastructure portfolio!
Responsibilities:
Capacity Planning & Operations: Maintain a comprehensive view of global infrastructure capacity across on-premises and cloud environments, including compute, storage, network, power, cooling, and rack space. Track available, allocated, landed, and stranded capacity by region, platform, business unit, and service tier. Monitor infrastructure utilization and demand trends to identify capacity risks, utilization opportunities, and gaps against forecasted demand. Partner with infrastructure operations, cloud engineering, SRE, and service owners to ensure capacity supports business and operational requirements. Drive reallocation and reclamation of underutilized infrastructure resources to improve efficiency and enhance investment value. Leverage AI-enabled tools and automation to improve capacity data collection, reporting, forecasting accuracy, and operational efficiency.
Forecasting & Optimization: Develop rolling 3-, 6-, 12-, and 24-month capacity forecasts using business demand signals, utilization trends, technology roadmaps, manufacturing requirements, and infrastructure lifecycle plans. Use AI-assisted forecasting, predictive analytics, and digital modeling capabilities to identify trends, predict future infrastructure demand, and improve decisions related to prioritising resources. Evaluate future capacity requirements and recommend growth, refresh, consolidation, and retirement strategies. Perform scenario modeling and digital infrastructure planning to assess the impact of demand growth, technology transitions, supply constraints, cloud adoption, resiliency requirements, business continuity events, and evolving AI workload demand. Find opportunities to improve infrastructure utilization through rightsizing, capacity reclamation, workload placement optimization, automation, and cloud consumption management. Drive adoption of AI-enabled planning capabilities to improve decision-making, scenario analysis, and infrastructure investment planning. Partner with procurement, finance, and platform teams to translate forecasts into purchasing plans, budget requirements, and deployment schedules.
Governance & Lifecycle Management: Establish and manage capacity planning processes, standards, and governance practices across hybrid infrastructure environments. Define policies for capacity buffers, refresh timing, utilization thresholds, allocation methodologies, and lifecycle management. Lead recurring capacity review sessions with business and technology team members to communicate risks, trade-offs, recommendations, and investment needs. Ensure capacity plans align with resiliency, security, compliance, and operational readiness requirements. Maintain accurate forecasting, allocation, refresh, and procurement records to support planning, audit, and business decision-making needs. Drive adoption of data-driven planning methodologies, automation, and continuous improvement practices to enhance infrastructure decision-making.
Reporting & Engagement: Develop and maintain executive-level dashboards, metrics, and reporting to support capacity and investment decisions. Provide data-driven recommendations to technology and business leaders regarding infrastructure growth, lifecycle risks, utilization trends, optimization opportunities, and AI infrastructure readiness. Collaborate across TE&I, Manufacturing, SMAI, TPG/EDA, Finance, Procurement, and Corporate IT to ensure alignment between demand forecasts and infrastructure readiness. Present capacity forecasts, investment recommendations, risk assessments, and future planning insights to technical and business partners.
Minimum Qualifications:
Bachelor’s degree in IT, Computer Science, Engineering, Business, or a related field, or equivalent experience.
5+ years of experience in infrastructure engineering, cloud operations, data center operations, capacity planning, or technology lifecycle management.
Experience supporting enterprise infrastructure environments, including compute, storage, networking, cloud, and data center technologies.
Strong analytical, forecasting, reporting, automation, operational planning, and problem-solving skills, with experience presenting recommendations to executive team members.
Demonstrable ability to employ AI-powered tools and data analytics to improve business outcomes while collaborating effectively across technical and business teams.
Preferred Qualifications:
Experience supporting large-scale global data center, cloud, and enterprise infrastructure environments.
Strong knowledge of capacity planning, forecasting, predictive analytics, and infrastructure lifecycle management.
Experience demonstrating AI-enabled analytics, intelligent automation, digital twins, and infrastructure planning tools.
Expertise in FinOps, resource optimization, utilization management, and cloud capacity planning.
Familiarity with ITIL, SRE, modern service management practices, reporting platforms (Power BI, Tableau, ServiceNow), and infrastructure requirements for AI, HPC, and advanced analytics workloads.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visitmicron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
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.
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