Microsoft Senior Finance Manager - AI Business Health 

United States, Washington 

437590228

As a crucial member of the team, you will also support long term bets and drive competitive intelligence to keep Microsoft Cloud ahead of competition and lead the AI platform wave, safeguarding shareholder interest.

Minimum / Required Qualifications:

• Bachelor'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 Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience.

Preferred Qualifications:

• Demonstrated ability to form and influence cross-functional partnerships to deliver

• Demonstrated analytical skills and strategic thinking

• Proven data and financial modeling capabilities and ability to work with financial

• Ability to communicate complex analysis in a simple way. Executive level oral and

written communication skills.

• Proven leadership skills, with demonstrated results in proactively driving and

• Ability to drive best-in-class decision support in ambiguous environments. Partnering capabilities, with the ability to influence others without direct authority and appropriately push back when required.

• Deep understanding of the technology industry, particularly commercial public and private cloud services, business models and economics preferred

• Comfort working at multiple altitudes, from strategic/high-level projects to detailed Cost of Goods (COGS) analysis

• Ability to handle multiple tasks under tight deadlines, quickly prioritize for impact and the resourcefulness to deliver

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Thought leadership to understand AI Graphics Processing Units (GPU) investment cost-in economics and implement cost attribution across different business unit PnLs based on principles, operational drivers to drive usage transparency, Return on Investment (ROI) accountability.

• Own analysis, insights on GPU utilization, usage costs across all businesses to

• Own monthly and quarterly financial, operational GM reviews (close, forecast,

budget) with finance and engineering executives , clearly communicating results and