Senior Manager, Data - Fundraising and Marketing (Remote)

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.

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, 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 metrics