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Develop forecasting and financial models to evaluate market growth, customer adoption, and revenue potential for AI products and services. You'll need 3+ years in strategic finance, investment banking, or management consulting plus advanced Excel and quantitative modeling skills. The role requires analyzing complex datasets, building business cases, and translating analysis into strategic recommendations for senior leaders. Based in a U.S. Microsoft Hub with at least four days onsite weekly. Base pay ranges from $106,400–$203,600 annually, or $137,600–$222,600 in San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft AI Experiences (AIX) is building the future of AI experiences across Copilot, Bing, Edge, and partner surfaces that reach hundreds of millions of people.
This role sits within the AIX Strategy team and will help shape strategy and investment decisions across the organization. We’re looking for a highly analytical strategist who can bring structure to ambiguous business questions, build a rigorous fact base from complex data, and translate analysis into clear recommendations for senior leaders.
You will develop forecasting and predictive models, evaluate market and competitive dynamics, size new opportunities, and build pricing and monetization strategies. The work will require bringing together internal and external data, identifying the metrics that matter, testing assumptions through scenario and sensitivity analysis, and developing business cases that inform product, go-to-market, and investment decisions.
The ideal candidate combines the quantitative rigor of investment banking or strategic finance with strong business judgment and strategic thinking. They are comfortable operating with incomplete information, can independently determine the right analytical approach, and can turn complex analysis into a clear point of view on what Microsoft should do and why.
Build forecasting, predictive, scenario and sensitivity models to evaluate market growth, customer adoption, revenue potential, and business performance.
Analyze complex and imperfect datasets to identify trends, business drivers, risks and opportunities.
Develop quantitative analyses and business cases to inform product and investment decisions.
Support market sizing, competitive analysis and pricing strategy through research and modelling.
Translate quantitative analysis into clear strategic insights, implications and recommendations for senior leadership.
Partner with Product, Engineering, Business Development, Finance, Marketing, Sales and other teams to pressure-test assumptions and inform key strategic decisions.
Required Qualifications
Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
OR equivalent experience.
3+ years of experience in strategic finance, investment banking, corporate development, pricing strategy, management consulting or a highly quantitative strategy role.
3+ years of experience building decision-grade quantitative and financial models, including forecasting, scenario and sensitivity analyses.
3+ years of demonstrated ability to analyze large, complex and imperfect datasets, and synthesize multiple sources into a defensible fact base.
Advanced Excel, financial modeling, and quantitative analysis skills
Preferred Qualifications
Experience with market sizing, competitive benchmarking, pricing analysis and business-case development.
Experience with SQL, Python, Power BI, or similar analytical tools.
Experience working with product, finance or commercial leaders in a technology business.
Working knowledge of the competitive dynamics and different layers of the evolving artificial intelligence landscape.
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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