Microsoft Sr Program Manager - Cloud Planning 

Taiwan, Taoyuan City 

555234686

Required Qualifications:

• Bachelor's Degree in Supply Chain, Engineering, Data Analytics, Business Operations, Finance, or related field AND 8+ years experience in Data Science/Analytics, Engineering, Industrial Engineering, Supply Chain, Operations, or Project Management with a Supply Chain or Operations field
  • OR equivalent experience.
• 4+ years of experience working with Product / Engineering Groups in Cloud / high tech supply chain.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Supply Chain, Engineering, Data Analytics, Business Operations, Finance, or related field AND 8+ years experience in data science/analytics, engineering, or project management with a supply chain or operations field
  • OR Bachelor's Degree in Supply Chain, Engineering, Data Analytics, Business Operations, or related field AND 12+ years experience in data science/analytics, engineering, or project management with a supply chain or operations field
  • OR equivalent experience.
• Proven experience in applying quantitative risk modeling methodologies.
• 4+ years of experience in leading consensus demand planning process or integrated business planning (IBP).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 13, 2025.

Our team is responsible for datacenter capacity allocation to various customer demands. In this role, you will partner with engineering to deliver scalable engineering solutions to automate manual workflows, optimize planning and execution, and drive measurable improvements.

• Collect and curate feedback from all available sources into a meaningful, actionable user voice and translate this to business requirements
• Prioritize use cases and features based on impact to key business metrics, balancing short-term wins and long-term strategic bets
• Partner with engineering to accelerate development
• Understanding of optimization solutions & packages
• Define, track, and analyze key performance metrics to inform automation success, regularly reporting on impact to business goals and operational efficiency
• Accelerate adoption of AI tools
• Participate in broader strategic transformation initiatives