Microsoft Finance Director - AI Strategy & Productivity Lead 

United States, Washington 

616500614

Required Qualifications:

• Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 10+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR Master's Degree in BusinessAdministration, Accounting, Finance, Economics, Data Science or related field AND 8+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience.

Preferred Qualifications:

• Established leadership skills with analytical modeling and strategic thinking
• Proven data and financial modeling capabilities and ability to work with financial systems
• Ability to communicate complex analysis in a simple way.
• Demonstrated results proactively driving and delivering high value/high-impact project through both individual and v-team efforts
• Collaborative partnering capabilities, with the ability to influence others without direct authority and appropriately push back as required
• 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:

Microsoft will accept applications for the role until August 8, 2024.

• Lead discussions on Long range plans for Productivity (Office 365 properties as part of M365) including M365 Copilot. This includes landing gross margin and Profit and Loss (P&L) principles with engineering leaders to hit margin goals, lead the plan / whitepaper for 5-year gross margin plan, showcase efficiencies needed in next 5 years based on revenue trends to meet commitments, influence stakeholders like Azure platform efficiencies needed to support 1P)
• Liaison with M365 revenue team and business planning team on new features, own financial modelling for such features, including executive alignment on overall feature viability
• Own usage modelling and trends to understand Cost of Goods Sold (COGS) across workloads
• Partner with Cost-in finance stakeholders to develop models to land triangulation of demand to land cost-in and understand efficiencies / COGS optimizations margin goals
• Own demand signals for M365 Copilot across GPUs and server. Partner with engineering team to build driver based models on demand
• Own unit cost and marginal economics for M365 Copilot and impact of new feature launches on margin
• Lead and drive Monthly Business Reviews (MBRs) with key engineering leaders (Executive Vice President, Corporate Vice President) on long range and M365 Copilot gross margin performance
• Integrate varied data sources into a comprehensive, clear narrative for leadership for effective decision making.

• Other

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