The Senior Manager, Data - Fundraising and Marketing will serve as the primary strategic data partner to GiveDirectly’s fundraising and marketing teams, combining deep fundraising context with strong technical expertise to define key questions, establish durable metrics, and build scalable data products. This role is critical in transforming manual fundraising analytics into automated, compounding systems that drive global scaling of direct cash transfers.
What You'll Do
- Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams
- Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals
- Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually
- Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions
- Identify recurring analytical needs and convert them into scalable, automated data products
- Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders
- Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer
- Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time
- Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion
- Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation
- Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis
- Proactively surface decision-relevant insights, even when questions are not fully formed
- Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance
- Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing)
- Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements
- Surface high-leverage opportunities to improve conversion, retention, and revenue durability
- Collaborate with data engineers and analytics peers to improve data quality, access, and trust
- Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling
- Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time
- Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics
- Maintain high standards of analytical rigor, documentation, and reproducibility
What We're Looking For
- 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics
- Strong experience setting vision and priorities for data products from significant ambiguity
- Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction
- Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
- Strong Python proficiency
- Experience building forecasting models (e.g., revenue, LTV, retention)
- Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation)
- Ability to navigate ambiguity and independently shape how data informs organizational strategy
Technical Stack
- AWS
- Databricks
- Tableau
- SQL
- Python
Team & Environment
- Global team of ~150, and country operations teams of ~650
- Non-hierarchical, global, spanning 21 countries and 69 languages
Benefits & Compensation
- Flexible paid time off
- Allowances for desk set-up
- Allowances for learning and development
- Annual Benefits Stipend: $21,393
- Robust health benefits plan (exact details will vary by country)
- Travel 2–3 times per year for team retreats or planning sessions
- Opportunities for advancement
- Demonstrated commitment to helping all staff develop and grow
- Base Salary: $129,000 (US); for non-US applicants, estimated salary benchmark will be shared during hiring process based on location and cost of living
- Bonus at Target Performance: 10% (~$12,900, with potential for upside; $15,093 in 2025 based on current performance multiplier)
- Estimated Total Compensation at Target: $141,900+
Work Mode
- Remote (must overlap with East Africa timezone by at least 3 hours)
- Travel 2–3 times per year for team retreats or planning sessions
- Fully remote with high ownership and flexibility; no sponsorship of employment Visas in the U.S. or U.K.
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
