About The Position

The Commercial Product and Infrastructure (CPI) Finance organization supports Microsoft’s cloud and AI capacity planning, margin optimization, and disciplined resource allocation across Microsoft’s portfolio. Within CPI, the Resource Investment Strategy finance team partners closely with engineering leaders to help ensure that more than $20B in resources across approximately 100K engineering FTEs are aligned with strategic engineering priorities. This role supports critical investments for Azure Core Infrastructure, working in close partnership with engineering leaders responsible for developing the Microsoft Azure Cloud and AI Platform. The position partners with engineering, Global Talent Acquisition, and finance teams to plan engineering headcount and support a long‑term workforce and capacity strategy aligned to business and engineering needs. This role is well suited for a finance professional who applies structured systems thinking, demonstrates curiosity and learning agility, and can navigate ambiguity and complexity while serving as a trusted finance partner to engineering stakeholders. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Our culture emphasizes a growth mindset and encourages individuals and teams to continuously learn, collaborate, and deliver meaningful impact. Why this role Build experience supporting cost leadership and disciplined resource allocation, key capabilities for finance professionals supporting large‑scale technology platforms. Develop a finance leadership mindset by partnering with senior leaders to inform expense management and resource allocation decisions aligned with engineering and product priorities. Contribute to solving complex near‑ and long‑term challenges related to cloud and AI infrastructure investment. Collaborate across a broad set of stakeholders, including engineering leadership, Product Revenue and Margin teams, Central Finance, Global Workplace Services, Procurement, and Human Resources. Join a team focused on delivering measurable impact through collaboration, accountability, and continuous improvement.

Requirements

  • 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
  • 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 equivalent experience.

Nice To Haves

  • Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR
  • Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience.
  • 1+ year(s) experience in multinationals with multi-product/multi-segment finance roles.
  • 1+ year(s) work experience in matrix-based organization.
  • 1+ year(s) work experience in the technology or software industry.
  • 2+ years of experience supporting cost management and cost optimization analysis.

Responsibilities

  • Business and Finance Partnership: Provide strategic partnership to Engineering and Finance leaders to drive operating leverage through resource allocation and investment optimization by providing visibility into the current resource landscape, analyzing macro‑level results and benchmarks, and applying systems thinking to identify and recommend levers that inform decision‑making.
  • Business Health: Drive process excellence while partnering across Engineering and Finance to assess the overall health of the business and understand key drivers to identify opportunities, risks, and tradeoffs. Share monthly and quarterly results with clarity and a focus on actionable insights, proactively identifying risks and recommending actions to support operating margin improvements.
  • Lead Resource Allocation Decisions: Ensure resources and investments are aligned with business strategy, product engineering roadmaps, and company priorities. Connect short‑ and long‑term decisions with business strategy to support informed resource allocation decisions.
  • Productivity Framework: Implement productivity analysis and processes to assess Engineering resource needs, providing the business with data‑driven insights on areas requiring efficiency improvements and areas that support further investment.
  • Reporting: Publish executive‑ready monthly resource summaries highlighting risks, opportunities, and key drivers. Deliver resource reviews with Finance leaders, clearly communicating results and recommendations. Automate and improve reporting processes where possible using available tools.
  • Thought Leadership: Leverage holistic analytical frameworks and best practices across Finance to identify trends and deliver insights that support efficient resource allocation and investment decisions.
  • Embody our culture and values.
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