Director, Financial Planning & Analysis
T
The Princeton ReviewEducation services
Location: Remote, USFull-TimeDirector
Salary150,000 - 190,000 USD per year
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Job Details
- Experience
- 10–15+ years of relevant experience in FP&A, finance, or related roles
- Required Skills
- TableauMicrosoft ExcelPowerPoint
Requirements
- Have 10–15+ years of relevant experience in FP&A, finance, or related roles.
- Bring significant experience in growth and data-driven environments; SaaS, EdTech, or technology experience is preferred.
- Have progressive leadership experience and a track record of building and scaling high-performing functions.
- Demonstrate deep expertise in financial modeling, planning, and performance management.
- Be highly proficient in Excel and PowerPoint.
- Have strong experience with financial systems and BI tools, such as Adaptive, Anaplan, Tableau, or Power BI.
- Show a strong interest in using automation and AI to streamline workflows and support decision-making.
- Translate complex data into clear, actionable insights for non-finance stakeholders.
- Manage multiple priorities in a fast-paced environment with strong attention to accuracy and detail.
Responsibilities
- Lead annual planning, quarterly forecasting, and long-range financial modeling aligned with company strategy and growth and profitability objectives.
- Develop FP&A processes, including driver-based models, scenario planning, and rolling forecasts.
- Partner with executive leadership to translate strategic initiatives into financial plans, investment frameworks, and measurable outcomes.
- Build, lead, and develop the FP&A function and establish its operating rhythms, deliverables, and performance standards.
- Own financial reporting, variance analyses, KPI tracking, and executive-ready insights across daily, weekly, monthly, quarterly, and annual cycles.
- Drive budget management, cost control, cash flow, and liquidity across the organization.
- Partner with functional leaders to provide analytics on performance, ROI, and resource allocation.
- Implement tools, systems, and automation, including AI-enabled solutions, to improve data quality, reporting speed, and scalability.
- Lead improvements to financial systems, dashboards, reporting infrastructure, KPI standards, and analysis processes.
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