Published on
Mar 1, 2026
Senior Manager, Data - Fundraising and Marketing
Company: GiveDirectly
Employment Type: Full-Time
Location: 100% Remote – US (must overlap with East Africa timezone by at least 3 hours; 2-3 trips/year for retreats)
Compensation: $129,000 (USD, base salary)
Category: Data, AI & Analytics
Close date or Apply by date: March 4, 2026 (priority application deadline)
WHY THIS ROLE MADE THE CUT
Fully remote (no hybrid or office requirements)
Full-Time role
Job is listed on company site with a direct link to apply
Legitimate, established company
Posted within the last 14 days OR includes a clear deadline to apply
Clear salary range is disclosed
ROLE SNAPSHOT
GiveDirectly is hiring a Senior Manager, Data (Fundraising & Marketing) to serve as primary strategic data partner to fundraising and marketing teams, combining deep fundraising context with technical expertise to define metrics, establish source-of-truth data, and build leveraged data products. You'll directly own data modeling and transformation work within the data lakehouse, build curated data models powering reporting and forecasting, define and standardize core fundraising KPIs (retention, LTV, revenue forecasting), design robust warehouse data models serving as source of truth, build and maintain revenue forecasts and donor cohort models, conduct deep-dive analyses into donor retention and churn patterns, and collaborate with data engineers to improve data quality and access. This senior IC role requires 8+ years in analytics or data science driving marketing/growth/fundraising performance, advanced SQL skills with production-grade data modeling experience, strong Python proficiency, and experience building forecasting models and running experiments.
KEY WORDS TO INCLUDE IN YOUR RESUME/COVER LETTER IF YOU APPLY:
Fundraising or marketing analytics
Advanced SQL and data modeling
Python proficiency
Revenue forecasting and LTV modeling
Data warehouse (AWS, Databricks)
Donor retention and cohort analysis
A/B testing and experimentation
KPI definition and metrics
Tableau or data visualization
Data product ownership
Keywords are suggested based on the language used in the employer's job description to help applicants align with automated screening systems.
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