Group Finance Manager - Data Center Long Lead Equipment

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Financial Analysis

Group Finance Manager role supporting Microsoft's Cloud-first strategy, focusing on capital analytics, inventory finance governance, and warehousing strategy for data center long lead equipment. Responsibilities include building investment models, evaluating sourcing and contracts, establishing KPIs, managing financial rhythms, strengthening controls, and driving process improvements.

What you'd actually do

  1. Own end to end capital analytics for LLE: build multi year investment models, scenario analyses, and pacing recommendations balancing supply security, capital efficiency, and unit cost reduction.
  2. Lead financial evaluation of sourcing and contract structures with procurement and engineering (price curves, indexation, risk/benefit tradeoffs, make/buy, staging depth) to optimize economics.
  3. Establish and maintain LLE/warehousing KPIs (inventory turns, carrying cost, obsolescence risk, storage utilization, cost to build impact) and drive data backed actions.
  4. Translate strategy into finance rhythms: embed assumptions into budget/LRP/forecast; quantify risks/opportunities; provide clear narratives for senior reviews.
  5. Strengthen reporting accuracy and controls for LLE and warehousing (capitalization, policy alignment, commitments, variance tracking, audit readiness).
  6. Drive process and tooling improvements that increase automation, data quality, and cross team decision velocity across equipment staging and warehouse footprint planning.

Skills

Required

  • 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 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 equivalent experience

Nice to have

  • Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 12+ years of post-graduate financial analysis, accounting, controllership, or finance work experience
  • OR Master'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
  • Demonstrated expertise in financial modeling (NPV/IRR, sensitivity, price/volume mix), forecasting, and scenario planning for capital intensive programs.
  • Proven ability to partner across engineering, procurement, operations, influencing decisions with clear narratives and well structured analyses.
  • Understanding of inventory/accounting mechanics (capitalization policies, carrying costs, write downs, controls) and portfolio governance.
  • Advanced proficiency with Excel/Power BI (or similar), and the ability to connect disparate data sources into executive ready insights.