Senior FP&A Analyst - Data Center Finance

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleAs a member of the DC / Infrastructure Finance team, you will report to the Manager of DC / Infrastructure Finance and partner with Data Center Development, Data Center Operations, and Program Operations. You will maintain visibility into site costs, cash requirements, and investment performance from development through deployment and operations, helping leaders manage budgets, evaluate tradeoffs, and deliver capacity efficiently.What You'll DoData Center Development BudgetsBuild and maintain project budgets for data center construction, site improvements, power and cooling infrastructure, and commissioning in partnership with project ownersTrack actual costs, contractor commitments, change orders, and remaining scope against approved budgets; maintain estimates to complete and forecast total project costsEvaluate contingency usage and changes in scope or schedule, flag potential overruns, and recommend corrective actionsDeployment Timing and Cash ForecastingTranslate construction milestones, contractor payment schedules, and commissioning plans into project cash forecastsModel the financial impact of delays, phased deployments, and changes in capacity readiness; coordinate equipment assumptions with Supply Chain FinanceOwn site and construction payment forecasts as inputs to the consolidated cash forecast for Corporate FP&A and Treasury, clearly separating changes in total cost from changes in payment timingData Center Operating CostsOwn site operating cost forecasts and budget versus actual analysis across power, colocation, rent, maintenance, and other infrastructure costsBuild driver-based models using contracted capacity, energized capacity, deployed GPUs, power consumption, and operating assumptionsExplain cost and margin variances caused by deployment ramps, power rates, capacity utilization, and contract terms; identify opportunities to improve efficiencyInvestment Economics and PerformanceSupport financial evaluation of new sites, expansions, and infrastructure commitments, including project returns, payback, and sensitivity analysisAnalyze capital cost per MW, operating cost per GPU hour, and other site economics using consistent cost definitions and assumptionsOwn site-level models for investment committee reviews and post-investment assessments, incorporating equipment cost inputs from Supply Chain Finance and comparing project costs, deployment timing, and operating performance with approved investment assumptionsPlanning and Accounting PartnershipDevelop site and project inputs for the annual operating plan, quarterly forecasts, and long-range infrastructure planPartner with Accounting on accrual inputs, cost coding, and lease accounting (ASC 842) inputs to improve the accuracy of project and operating cost reportingOwn facility in-service timing, from construction in progress to placed in service, as an input to the infrastructure depreciation forecastWork with Supply Chain Finance to reconcile site infrastructure and equipment budgets, preventing gaps or double counting in consolidated deployment costsReporting and Process ImprovementPrepare clear project and site reporting for business reviews, executive discussions, and Board materials, highlighting financial risks and decisions neededConnect project schedules, commitments, and financial actuals using the team’s shared commitments data (purchase orders, invoices, and payments) in repeatable reporting and planning toolsBuild and maintain repeatable models and workflows in Pigment and AI-assisted tools, reducing manual spreadsheet workImprove the quality and consistency of infrastructure data, forecasts, and reporting as Lambda scales its data center portfolioYouHave a Bachelor’s degree in Finance, Accounting, Economics, or a related fieldHave 4+ years of experience in FP&A, project finance, infrastructure finance, or a related analytical roleHave experience managing project budgets, capital spending forecasts, or operating cost models in data centers, construction, energy, telecom, or another capital-intensive businessUnderstand how project commitments, actual costs, estimates to complete, and payment timing translate into financial forecastsPossess strong financial modeling and Excel skills, including the ability to build driver-based models and evaluate investment returns and scenariosAre comfortable working in enterprise planning systems and building repeatable, automated workflows rather than one-off spreadsheetsCan reconcile financial and operational data, identify the causes of variances, and turn findings into practical recommendationsCommunicate clearly with finance, engineering, construction, and operations stakeholdersAre comfortable working independently in an ambiguous, fast-paced environment while managing multiple projects and deadlinesNice to HaveExperience supporting data center development, construction, or commissioning, including estimate-to-complete and contingency trackingFamiliarity with colocation and lease contracts, ASC 842 lease accounting, or power procurement and PPAsExposure to project finance, SPV structures, or powered land developmentFamiliarity with GPU infrastructure, site capacity metrics (MW, PUE), or cloud infrastructure unit economicsWorking proficiency in SQL or BI tools, and experience with Pigment, NetSuite, or CoupaPrior experience in a startup or high-growth organizationSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, with 500+ employees, and growing fastOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: We offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useEqual Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.Compensation Range: $152K - $225KLocationSan Francisco Office (Fremont St); Bellevue Office; San Jose Office (First St)Employment TypeFull timeLocation TypeHybridDepartmentG&ACompensationSan Francisco / San Jose$169K – $225KBellevue$152K – $203K