GiveDirectly is the first - and largest - nonprofit that lets donors like you send money directly to the world’s poorest. We believe people living in poverty deserve the dignity to choose for themselves how best to improve their lives - cash enables that choice. We are seeking a Senior Manager, Data - Fundraising and Marketing to lead our data strategy for fundraising and growth efforts.
Core Responsibilities
Data Product and Metrics Ownership
- 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.
- Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics).
- Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting.
- Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership.
- 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.
Strategic Fundraising and Marketing Analytics
- 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.
Donor & Revenue Insights
- 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 and quasi-experimental methods).
- Translate complex analyses into clear recommendations for non-technical stakeholders.
- Surface high-leverage opportunities to improve conversion, retention, and revenue durability.
Data Infrastructure & Platform Contribution
- 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.
- Contribute to the long-term roadmap for fundraising data architecture and adopt new capabilities like conversational analytics.
- Maintain high standards of analytical rigor, documentation, and reproducibility.
Qualifications
- 8+ years of experience in analytics, data science, or quantitative strategy roles, with a track record of driving growth or fundraising performance.
- Experience setting vision and priorities for data products from significant ambiguity.
- Strong systems thinking and experience designing measurement systems.
- Advanced SQL skills and 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 (A/B testing, quasi-experimental methods).
- Ability to navigate ambiguity and independently shape how data informs organizational strategy.
- A Bachelor's degree (BA/BSc/HND) is required.
How to Apply
Interested and qualified candidates should apply online via the Greenhouse application portal: GiveDirectly Application Link
