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
Description
This is not traditional FP&A. This is operational finance built for execution.
2 Hour Learning is creating a network of schools designed to operate at speed. We execute quickly, decide constantly, and require financial visibility that matches our pace. You will not spend time reviewing outdated budgets or depending on business intelligence teams. Instead, you will design the models, dashboards, and frameworks that deliver the clarity operators and leadership require to act with confidence—every day. Your contributions will support initiatives ranging from new school openments to strategic course corrections, and they must be rapid, precise, and dependable.
You will lead a real-time, AI-enhanced finance operation. This includes consolidated P&L models for every school and business line. Continuously updated 12–18 month projections that remain current within 72 hours. Dashboards that isolate the two or three variables that truly drive outcomes. You will leverage AI platforms such as ChatGPT and Copilot to streamline analysis and remove friction. You are not engineering solutions from the ground up—you are deploying proven tools to accelerate delivery.
This role is not suited for operations managers who thrive in rigid hierarchies. It is designed for finance professionals tired of red tape and sluggish workflows. You apply AI to increase velocity and expect your models to shape action, not merely document history. You will not observe from the periphery awaiting approval. You will occupy the center of our operational cadence.
What you will be doing
- Develop and sustain integrated 3-statement models for every school and vertical, linking enrollment projections, workforce planning, and capital expenditures into unified forecasts.
- Refresh rolling 12–18 month projections on a weekly basis using current data, and scenario-model both upside opportunities and downside exposures.
- Produce executive dashboards powered by live data streams, surfacing critical decision levers and supporting daily, high-conviction leadership choices.
- Deploy AI tools to expedite analytical workflows, identify outliers, monitor variance trends, and remove manual spreadsheet constraints from finance operations.
- Author concise strategic memos that distill financial exposure, alternative pathways, and budget trade-offs to board-presentation quality, delivered within 72 hours.
What you will NOT be doing
- Running protracted budget cycles or generating reports that gather dust — your projections adapt to the business in real time, and your output influences decisions within days.
- Enforcing cost center compliance or tracking expense receipts — you will prioritize transparency and governance, not administrative overhead.
- Relying on BI teams for delivery — you design and deploy the tools, dashboards, and models directly.
- Getting lost in detail — your mandate is to highlight the handful of insights that shift momentum.
- Constructing automation platforms from zero — you will harness AI tools to amplify productivity, not build technical infrastructure.
Key responsibilities
Provide continuously refreshed financial models, projections, and dashboards that enable daily decision-making and strategic transparency throughout a fast-scaling 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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