Overview
This role will own strategic finance planning and forecasting end to end and rebuild how finance produces its numbers. The organization is transitioning from spreadsheet-driven processes (including manual uploads and vendor-by-vendor cleanup) to automated, system-to-system workflows supported by finance tools and engineering collaboration.
This is a director-level position designed for a strong senior manager or director who wants full ownership and the ability to build processes and models, rather than managing a large team on day one.
Responsibilities
1) Planning and forecasting (end to end)
- Run the annual operating plan.
- Build departmental OpEx and headcount templates, guide leaders through inputs, and produce one driver-based plan.
- Own the operating model covering revenue, gross profit, OpEx, headcount, EBITDA, working capital, and cash, plus a 3 to 5-year long-range plan.
- Reforecast on a regular cadence and run monthly budget-vs-actual reviews with department heads to track pacing before quarter end.
- Own short- and long-term cash flow forecasting, including collections and payment timing.
- Build the monthly reporting package and Board materials with the Head of Finance, including clear explanations for variances (for example, how R&D spend is under plan).
2) Finance systems, automation, and process
- Lead the transition from spreadsheet-driven finance operations to automated workflows between systems.
- Partner with engineering on the product team:
- Write requirements
- Define logic
- Check the numbers
- Run user acceptance testing until finance needs are met
- Define general ledger structure so leadership gets cost visibility by team, function, and initiative (not just broad categories).
- Partner with accounting on cleanup and on keeping new entries coded correctly.
- Evaluate and select finance tools (including a planning platform) based on demonstrated value.
- Use AI for time savings where it applies, including variance commentary, data validation, and recurring reporting.
3) Analysis that drives decisions
- Measure payback on sales investment by team (enterprise and mid-market) in months.
- Build advertiser/partner cohort, retention, and spend-distribution analysis by segment.
- Develop methodologies to answer open-ended questions and explain the data-backed story (examples include determining whether a campaign is working, modeling a new business line, or showing investor partner stickiness).
- Write your own SQL using production data (read access) and a finance schema without relying on a data team for pulls.
First-year expectations
- First 90 days: Own the operating model and annual plan; run the first monthly close review with accounting; deliver the first reporting package and Board pack.
- By month 6: Deliver a driver-based plan and rolling forecast leaders actually use; establish a monthly cadence with predictable book close timing and explained variances; ensure at least one manual workflow (invoicing or partner payouts) runs system-to-system.
- By month 12: Produce trusted cash forecasting; implement a ledger structure that answers “what does this team cost?” without manual rework; run sales payback and cohort analysis on a regular rhythm; enable a finance function that can operate without the Head of Finance doing day-to-day work.
Requirements
Must-haves
- 7+ years in FP&A or strategic finance. Investment banking or transaction advisory is acceptable if you have since owned planning and forecasting in an operating company.
- Strong, hands-on SQL capability; ability to query, join, and reconcile messy data directly. Using AI to help write queries is fine, but it does not replace understanding the intended logic.
- Full ownership of P&L planning for either a smaller company or a division operating like its own business, including building and owning the entire model.
- Mastery of the three statements and how the income statement, balance sheet, and cash flow connect.
- A track record of building something new in finance (process, model, reporting pipeline, or automation).
- Ability to translate analysis into clear recommendations for a CEO or Board.
Nice-to-haves
- Experience in performance marketing, adtech, martech, ecommerce, consumer, SaaS, or another data-heavy, variable-cost business.
- Cohort, retention, LTV, and unit economics experience.
- Exposure to finance systems projects such as invoicing, payables, planning tools, or an ERP rollout, including working with engineers and running UAT.
- Experience with board reporting or investor materials.
What this role is not
- Accounting: Accounting runs the close, AP/AR, payroll, and audit relationship. Partnership includes close reviews, audit schedules, and data quality, but this role will not run the books.
- Deal-focused: The organization is profitable, not raising right now, and M&A is limited. Support for Board and investors is included, but transaction modeling is not the primary focus.
- A team-management role on day one: Work will be built and run by the role holder; a team may come as the function grows.
Compensation & Benefits
- Not specified in the provided description.
Location
- Not specified in the provided description.