Director of Financial 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
Description
This role reimagines financial operations for a fast-moving organization.
2 Hour Learning operates a growing network of schools with a fundamentally different approach. Decisions happen daily, execution moves quickly, and financial insight must keep up. You won't depend on business intelligence teams or produce delayed budget summaries. Instead, you'll design the models, dashboards, and control frameworks that deliver the clarity operators and executives require to act with confidence—every day. Your contributions will drive outcomes ranging from new school openings to major strategic shifts, and they must be timely, precise, and reliable.
You'll be responsible for a dynamic, AI-enhanced finance operation. This includes consolidated profit and loss models for every school and business line. Forecasts covering 12 to 18 months, refreshed to reflect reality within 72 hours. Dashboards engineered to highlight the handful of variables that truly drive performance. You'll leverage AI platforms such as ChatGPT and Copilot to streamline analysis and remove friction. Your focus is on using available technology to complete work more efficiently—not engineering infrastructure from the ground up.
This position is not suited to operations managers who thrive in rigid hierarchies. It's designed for finance professionals weary of bureaucracy and sluggish workflows. You apply AI to accelerate output and expect your financial models to inform action, not merely document history. You won't observe from the margins while waiting for approval. You'll operate at the core of decision-making.
What you will be doing
- Develop and maintain integrated three-statement financial models for each school and business unit, connecting enrollment projections, staffing plans, and capital expenditures into unified forecasts.
- Refresh rolling 12 to 18 month forecasts on a weekly basis using current data, and conduct scenario analysis to evaluate upside and downside exposures.
- Produce executive dashboards operating on real-time data, emphasizing critical drivers and supporting confident decision-making on a daily basis.
- Apply AI platforms to speed up analytical work, identify outliers, monitor variance trends, and eliminate manual spreadsheet dependencies throughout finance workflows.
- Compose concise memoranda summarizing financial exposure, strategic alternatives, and budget considerations at a board-appropriate standard, delivered within 72 hours.
What you will NOT be doing
- Administering slow-moving budget cycles or generating reports that go unread — your forecasts adapt in real time as the business evolves, and your analysis influences decisions within days.
- Policing departmental spending or tracking down expense receipts — you'll emphasize clarity and oversight, not red tape.
- Depending on BI teams for delivery — you create your own tools, dashboards, and financial models.
- Getting lost in irrelevant details — your responsibility is to isolate the critical insights that shift outcomes.
- Engineering automation infrastructure — you'll utilize AI tools to work faster, not construct systems from the ground up.
Key responsibilities
Provide continuously updated financial models, forecasts, and dashboards that enable daily operational decisions and strategic insight across a rapidly 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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