Microsoft Group Finance Manager - Cloud Infrastructure 

Taiwan, Taoyuan City 

314272114

Required/minimum qualifications:

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience.
• 3+ years working in a matrixed organization

Additional or preferred qualifications:

• 5+ years work experience in the technology or software industry.
• 5+ years work experience in matrix-based organization.
• 5+ years experience in multinationals with multi-product/multi-segment finance roles.
• 3+ years experience managing direct reports.
• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 12+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 15+ years of post-graduate financial analysis, accounting, controllership, or finance work experience
  • OR equivalent experience.

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 September 28, 2025.

• Strategic Planning Alignment: Partner with data center (DC) demand and supply planning teams to ensure financial strategies are aligned with infrastructure growth, capacity needs, and long-range planning objectives, including key supply-side initiatives like liquid cooling transition, SKU roadmap alignment and AI Whale/Training supply.

• Cross-Functional Integration: Act as a finance liaison across DC, networking, and operations teams to drive a cohesive plan on infrastructure efficiencies and KPIs.

• Drive business development initiatives by identifying infrastructure growth opportunities across AI and DC portfolios, aligning financial strategies with emerging technologies such as liquid cooling, SKU transitions, and AI training capacity.

• Lead deal and option analysis to evaluate investment scenarios, infrastructure trade-offs, and long-range planning impacts, enabling data-driven decisions that optimize cost efficiency and strategic value.

• Insight-Driven Decision Support: Translate operational plans into financial impacts, identifying risks and opportunities to optimize cost efficiency and return on investment.

• Synthesize diverse data sources into clear executive summaries for leadership decisions.