Finance Manager - Enterprise FP&A for AI Infrastructure

Big Watt Digital, LLC

Seattle (WA)

On-site

USD 200,000 - 250,000

Full time

3 days ago
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Benefits offered by this job

Annual Cash Bonus
Incentive Award Units
Medical, dental and vision benefits
Disability insurance
Life Insurance
4 weeks PTO
401(k) Plan

Job summary

Big Watt Digital, a leader in AI-ready data center infrastructure, seeks a Finance Manager, Enterprise FP&A to scale forecasting and capital planning. You will partner with Treasury, Accounting, and business finance to build integrated models and deliver executive insights.

You will help design an AI-native FP&A platform, improve forecasting accuracy and provide actionable analyses to support strategic decisions at scale.

Qualifications

  • 5+ years of experience in FP&A, strategic finance or corporate finance.
  • Ability to build enterprise-level financial models and forecasts.
  • Experience connecting project economics to corporate performance.

Responsibilities

  • Build and maintain integrated enterprise financial models for income statements, balance sheets and cash flows.
  • Consolidate forecasts across generation, development, operations and financing activities.
  • Support long-range planning, rolling forecasts and scenario analysis.
  • Translate financing assumptions into enterprise projections for leadership review.

Skills

Three-statement modeling
Forecasting
Cash flow analysis
Financial valuation
Strategic finance
Business partnering

Education

Bachelor's degree in Finance, Accounting, Economics, Engineering or related field
MBA, CPA or CFA is a plus

Job description

Big Watt Digital, a leader in AI-ready data center infrastructure, seeks a Finance Manager, Enterprise FP&A to scale forecasting and capital planning. You will partner with Treasury, Accounting, and business finance to build integrated models and deliver executive insights.

You will help design an AI-native FP&A platform, improve forecasting accuracy and provide actionable analyses to support strategic decisions at scale.

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