Vice President of Finance Operations $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Not accepting applications on crossover.com at this time.
Description
This is not traditional FP&A. This is financial operations designed for builders.
2 Hour Learning is creating a school network that functions in a fundamentally different way. Decisions happen daily, momentum is constant, and financial insight must match that velocity. You will not be circulating outdated budget reports or waiting on business intelligence resources. Instead, you will construct the models, dashboards, and controls that deliver the clarity operators and leadership require to act with confidence—every single day. Your deliverables will influence everything from new school openings to strategic shifts, and they must be rapid, precise, and reliable.
You will operate a real-time, AI-enabled finance infrastructure. This includes unified P&L frameworks for every school and business unit. Forecasts spanning 12 to 18 months that remain current within 72 hours. Dashboards that isolate the handful of metrics that truly drive performance. You will leverage AI platforms such as ChatGPT and Copilot to streamline analysis and remove friction. You are not engineering custom systems—you are deploying available tools to deliver results faster.
This role is not suited for operations managers who value rigid hierarchies. It is for finance leaders frustrated by red tape and inertia. You deploy AI to increase throughput and expect your models to inform action, not merely document history. You will not observe from the periphery. You will sit at the operational core.
What you will be doing
- Construct and sustain live 3-statement financial models for every school and vertical, linking enrollment trends, headcount, and capital expenditures into unified projections.
- Refresh rolling 12 to 18 month forecasts on a weekly cadence using current data, and test scenarios for both upside opportunity and downside exposure.
- Produce executive dashboards running on live data feeds that highlight critical levers and support daily decision-making with confidence.
- Deploy AI tools to speed analysis, identify outliers, monitor budget variances, and remove manual spreadsheet friction throughout finance workflows.
- Author concise executive memos that distill financial exposure, strategic alternatives, and budget trade-offs to board-ready standards, delivered within 72 hours.
What you will NOT be doing
- Administering sluggish budget cycles or generating reports that go unread — your forecasts adapt in real time to business conditions, and your analysis informs decisions within days.
- Monitoring cost centers or tracking expense receipts — you will prioritize insight and governance, not compliance theater.
- Depending on BI teams — you design and deliver your own tools, dashboards, and financial models.
- Getting lost in peripheral detail — your mandate is to extract the critical few insights that shift outcomes.
- Developing custom automation platforms — you will apply AI tools to accelerate output, not build technical infrastructure.
Key responsibilities
Provide continuously updated financial models, forecasts, and dashboards that enable daily decision-making and strategic clarity across a fast-expanding school network.
Candidate requirements
- Willing to work at least 3 hours of daily overlap with US business hours (08:00 - 17:00 US EST / UTC-5)
- 5+ years in investment banking, private equity, Big 4 corp finance/M&A (not audit), or high-growth FP&A
- Proven experience building integrated 3-statement models tied to U.S. GAAP
- Comfortable delivering investor-grade analysis and recommendations under tight deadlines
- Experience using AI tools (e.g., ChatGPT, Copilot, Claude) to accelerate financial analysis, document generation, and data processing
Nice to have
- CPA/CFA/MBA certification
- ERP experience in NetSuite, Oracle, or SAP
- Familiarity with multi-site education, facilities, or ops-heavy industries
- Experience with board-level reporting or investor-facing materials
- Experience building AI-automated dashboards or low-code finance tools
- Exposure to high-end service environments with exacting financial standards
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