Vice President of Financial Planning & Analysis $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 those who build.
2 Hour Learning is developing a network of schools that function in a fundamentally different way. We operate with speed, decide quickly, and require financial transparency that matches our pace. You will not be reviewing outdated budgets or depending on business intelligence teams. Instead, you will create the models, dashboards, and frameworks that deliver the clarity operators and leadership require to act with confidence—every day. Your contributions will influence everything from new school openings to strategic realignments, and they must be rapid, precise, and reliable.
You will be responsible for a live, AI-enhanced finance infrastructure. This includes unified P&L models across each school and business unit. Rolling forecasts spanning 12 to 18 months that remain current within 72 hours. Dashboards designed to highlight the two or three variables that truly drive outcomes. You will leverage AI tools such as ChatGPT and Copilot to speed up your analysis and remove friction. You are not constructing systems from the ground up—you are applying available tools to complete work more efficiently.
This role is not suited for operations managers who favor established hierarchies. It is intended for finance professionals dissatisfied with red tape and sluggish workflows. You apply AI tools to increase your velocity and expect your models to inform execution, not merely document history. You will not wait on the periphery for approval. You will be central to how we advance.
What you will be doing
- Develop and sustain dynamic three-statement models for every school and vertical, integrating enrollment, workforce planning, and capital expenditures into a unified forecast.
- Refresh rolling 12 to 18 month forecasts on a weekly basis with current data, and scenario-test potential upside and downside outcomes.
- Produce executive dashboards powered by live data that emphasize critical levers and support confident, daily decision-making.
- Apply AI tools to expedite analysis, identify anomalies, monitor variances, and remove spreadsheet friction throughout finance operations.
- Compose concise memos that distill financial risk, strategic alternatives, and budget considerations to board-ready quality, delivered within 72 hours.
What you will NOT be doing
- Overseeing sluggish budget cycles or generating reports that go unread—your forecasts adapt alongside the business in real time, and your output influences decisions within days.
- Auditing cost centers or tracking down receipts—you will prioritize clarity and oversight, not administrative burden.
- Depending on BI teams—you create the tools, dashboards, and models independently.
- Getting lost in irrelevant details—your role is to extract the few insights that alter the course.
- Engineering automated systems from the ground up—you will use AI tools to accelerate delivery, not construct infrastructure.
Key responsibilities
Provide continuously updated financial models, forecasts, and dashboards that enable daily decision-making and strategic transparency across a fast-expanding network of schools.
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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