Senior Manager, Data - Fundraising and Marketing (Remote) in London

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.

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.

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.

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.

Core Responsibilities

• 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.
• Identify recurring analytical needs and convert them into scalable, automated data products.
• 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.

Qualifications

• 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.
• Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse.
• Ability to navigate ambiguity and independently shape how data informs organizational strategy.

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. The United States base salary for this role is $129,000, with an additional 10% bonus index.

Why work at GiveDirectly?

• A positive and supportive team with opportunities for advancement.
• A demonstrated commitment to helping all staff develop and grow.
• A competitive salary, including bonus.
• A robust health benefits plan (exact details will vary by country).
• Flexible paid time off.
• Allowances for desk set-up and learning and development.

GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.