Director of Strategic Finance

New
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NiftAdtech, marketing
Remote, USAFull-TimeDirector
Salary not disclosed
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Job Details

Experience
7+ years in FP&A or strategic finance.
Required Skills
SQL

Requirements

  • Have 7+ years of experience in FP&A or strategic finance; investment banking or transaction advisory experience may qualify if followed by planning and forecasting ownership in an operating company.
  • Use SQL hands-on to query, join, and reconcile messy data.
  • Have owned full P&L planning at a smaller company or for a division operating like its own business.
  • Master the three financial statements and how the income statement, balance sheet, and cash flow connect.
  • Have built a finance process, model, reporting pipeline, or automation from the ground up.
  • Be able to turn analysis into clear recommendations for a CEO or Board.
  • Experience in performance marketing, adtech, martech, ecommerce, consumer, SaaS, or another data-heavy, variable-cost business is a plus.
  • Cohort, retention, LTV, or unit economics experience is a plus.
  • Finance systems project exposure, including work with engineers and running UAT, is a plus.
  • Board reporting or investor materials experience is a plus.

Responsibilities

  • Run the annual operating plan and build departmental OpEx and headcount templates.
  • Own the operating model and 3-to-5-year long-range plan; reforecast regularly and lead monthly budget-versus-actual reviews.
  • Forecast short- and long-term cash flow, including collections and payment timing.
  • Build monthly reporting packages and Board materials with the Head of Finance.
  • Lead automation of finance workflows, including invoicing and partner payout processes.
  • Partner with an engineer to define requirements and logic, validate results, and run user acceptance testing.
  • Define general-ledger structure and work with accounting on cleanup and coding accuracy.
  • Evaluate and select finance tools, and use AI for recurring reporting, variance commentary, and data validation.
  • Analyze sales investment payback, advertiser and partner cohorts, retention, and spend distribution.
  • Query production data and the finance schema using SQL, and turn analysis into recommendations.
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