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Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. We’re hiring a Group Finance Manager to lead Commercial AI Net Revenue reporting and analytics. This role is a Central FP&A leadership position for AI, responsible for end‑to‑end net revenue insights, external momentum metrics reporting, and strategic analysis that informs how Microsoft monetizes AI at scale. This role partners directly with Central Finance Team (CFT), COGS, Investor Relations, and Commercial Product teams to deliver high‑impact insights on AI performance, competitive positioning, and long‑term platform opportunities such as pull‑through, competitive benchmarking, and ecosystem monetization. The ideal candidate brings analytical capabilities, sound business judgment, and the ability to translate complex data into meaningful narratives for senior stakeholders. If you are passionate about Azure and AI, want to influence their growth, value deep partnerships, and enjoy working in a fun team environment, then come join us!
Job Responsibility:
Lead end‑to‑end Commercial AI net revenue reporting, ensuring clear, accurate, and consistent views across products, platforms, and go‑to‑market motions
Own the financial narrative for AI net revenue performance, partnering with CFT, COGS, and commercial product finance teams to align on drivers, assumptions, and outcomes
Drive monthly close, quarterly outlook, and long‑term planning processes and insights for Commercial AI, delivering executive‑ready commentary and analysis
Lead AI external momentum metrics reporting in partnership with Investor Relations, ensuring strong alignment between internal performance views and external disclosures
Lead strategic analyses to evaluate end‑to‑end AI monetization opportunities, including platform pull‑through, competitive benchmarking, and ecosystem dynamics
Serve as a trusted finance partner to senior leaders across Finance, Product, Engineering, and Commercial teams
Ensures compliance with company policies, legal standards, and regulatory requirements by reviewing and monitoring accuracy of financial documents and business processes
Drives corrective measures
Consults with business partners on sharing financial information, approved instruments and processes, and consistency with corporate policies
Collaborates with Compliance groups to ensure team is current on company policies and procedures
Embody our culture and values
Requirements:
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
6+ years of experience in finance, FP&A, revenue finance, controllership, or strategic finance OR equivalent experience
Nice to have:
Experience owning end‑to‑end financial reporting, planning, and executive‑level analysis in a complex, multi‑product or matrixed environment
Cross group collaboration skills including the ability to comfortably communicate with executive management at Microsoft
Ability to effectively manage multiple inputs across many stakeholders, prioritizing the effort on main drivers
Ability to deal with ambiguity and uncertainty in a business that evolves at a very fast pace
Analytical and strategic thinker
Ability to identify opportunities for the business to build and nurture relationships across finance and business partners to drive results and insights
Show propensity for learning, and demonstrate ability to identify, analyze, interpret, and deliver sound solutions
Executive level oral and written communication skills - ability to communicate complex analysis and models in a simple way
Proficient in Microsoft Excel and the ability to synthesize insights from large datasets