Senior Manager, Data - Fundraising and Marketing (Remote)

GiveDirectly•New York, NY

13d•$129,000•Remote

About The Position

GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the world’s poorest. The Brookings Institution estimates that $70B of cash transfers would be required to eliminate the poverty gap; the aid sector currently spends $135B each year, much of it on evidence-free interventions. GiveDirectly wants to change that, establishing cash transfers as a benchmark for foreign aid – as the index fund is a benchmark for the financial industry – and in the process accelerating the end of extreme poverty. GD has raised over $1B since launching in 2011 and delivered cash to more than 2 million people in 15 different countries. We’ve also supported large-scale, experimental research that indicates strong recipient impact of our programs. As a result, GD has been celebrated as one of the most innovative non-profit companies by Fast Company, while the growing cash transfer movement (and GD’s leading role within it) have been featured in the New York Times Magazine, This American Life, Foreign Affairs, and The Economist. Our culture is candid, analytical, agile, and non-hierarchical. Our global team of ~150, and country operations teams of ~650, span 21 different countries and 69 languages. From software engineers to seasoned humanitarian workers, management consultants to public servants, researchers to field operations -- it’s an incredible group of people. Our values are central and deliberately opinionated. We genuinely center the people we serve in our decision-making, and strive to build an ambitious, dynamic and high-performing environment. We strongly encourage you to read through our values carefully, if they reflect how you like to work and energize you, this could be a great fit. We work hard to create an environment in which all our team members can thrive, succeed, and grow. We support high ownership, flexibility, take care of each other, have fun, and create professional growth opportunities. Location: This role is fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Priority Application Deadline: March 4, 2026 or until we receive a critical mass of applications About this Role GiveDirectly’s Fundraising team is responsible for unlocking significant, sustained funding to scale direct cash transfers globally. As we scale, our fundraising systems must become increasingly rigorous, automated, and compounding. Today, many of our core fundraising metrics and analyses require manual effort; this role will help transform that reality. We are hiring a Senior Manager, Data (Fundraising & Marketing) to serve as the primary strategic data partner to our fundraising and marketing teams. You will combine deep fundraising context with strong technical expertise to define the right questions, establish durable source-of-truth metrics, and build leveraged data products that reduce ad hoc work over time. You will function as a senior individual contributor with significant scope and autonomy. You will directly own significant data modeling and transformation work within the data lakehouse. You will be responsible for building the curated data models that power reporting, forecasting, and decision-making. Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. You will primarily use SQL to query data and contribute to data pipelines, and Python notebooks for deeper analysis. This is a full-time, globally remote position with travel 2–3 times per year for team retreats or planning sessions.

Requirements

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

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, 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
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 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
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 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