Finance Manager, Data Centers

Weights & Biases Weights & Biases · Data AI · Bellevue, WA · Finance

Finance Manager role focused on financial planning, forecasting, and analytics for data center operations, supporting the scaling of the business. Requires strong financial modeling skills and cross-functional collaboration.

What you'd actually do

  1. Own end-to-end financial planning processes for data center expenses related to leases, power, equipment financing, and general operating expenses.
  2. Build and maintain various forecasts related to our global power footprint including power deployment timing and alignment with capacity planning timelines.
  3. Drive monthly, quarterly, and annual budget reviews and variance analyses.
  4. Analyze and present financial reports to senior management, ensuring accuracy and compliance with company policies and regulatory requirements.
  5. Collaborate with operations, capacity planning, and power and sustainability teams to develop and implement strategies that support business objectives and enhance financial performance.

Skills

Required

  • 5+ years of experience in FP&A, corporate finance, investment banking, private equity, asset management or similar roles
  • Bachelor’s degree in Finance, Accounting, Business, or related field
  • Strong financial modeling skills
  • advanced Excel required
  • Ability to thrive in an extremely fast-paced, ambiguous environment
  • High level of self-sufficiency with proven success at self-teaching and a high intellectual motor
  • Exceptional attention to detail, organizational skills, and ability to manage multiple competing priorities simultaneously
  • Demonstrated ability to work cross-functionally and influence stakeholders
  • Excellent communication, project management, and problem-solving skills.

Nice to have

  • MBA or CPA/CMA is a plus
  • familiarity with tools like NetSuite, or Tableau a plus
  • Deep understanding of data center finance topics including energy market dynamics, leasing structures, and cost optimization strategies is preferred but not required