Microsoft Finance Director - AI Platform Strategy Efficiency 

United States, Washington 

589644337

Required Qualifications:

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ 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 10+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience.
• · 1+ year(s) experience managing direct reports.

Preferred Qualifications:

• Demonstrated experience in a High Tech and/or cloud, AI business focused on developing and driving cross-company strategy
• Experience in developing long-term, strategic growth plans
• Executive presence including communication and presentation skills with a high degree of comfort to large and small audiences
• Problem solving mentality leveraging internal and/or external resources
• Ability to operate in a dynamic, fast-moving environment while conforming to tight deadlines
• Propensity to learn and identify opportunities for improvement
• Has the ability to manage across organizational boundaries, influence others and build on the work of others
• Proven ability to partner, build trust, communicate with, and influence executives; ability to make the complex simple and influence through effective story telling

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 12, 2024.

• Oversee financial leadership and decision support to lead and drive long term efficiencies of the Microsoft AI Platform. Co-own and influence multi-year plan, focus, accountability, and incentives to accelerate gross margin expansion, unit cost reduction with clear state gate milestones.
• Own analytical frameworks, unit economic models, reporting insights and external benchmarks to define north star unit costs, for the AI platform. Accelerate platform scale, fungibility and utilization improvements to desired steady state. Influence leaders to develop engineering levers, execute while enabling feature, quality differentiation.
• Reduce platform unit costs and maximize return on invested capital by delivering leverage across the hardware, software, supply chain and infrastructure utilization. This includes driving benefit from new hardware generations in partnership with our vendors, software throughput improvements in partnership with OpenAI and other model providers.
• Effectively collaborate with leaders across multiple engineering orgs and Finance functions across the company with speed, depth, and rigor. Lead strategic financial and operational reviews, clearly communicate recommendations to executives.
• Manage and develop a talented, high performing team of individual contributors through application of our management philosophy of Model, Coach and Care.

Embody our