Delivery Leader; North America - Measurement & Evaluation
Listed on 2026-06-14
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IT/Tech
Data Scientist, Data Analyst
Overview
Working with governments, foundations, and public sector partners to turn big ideas into real impact on projects within our Measurement & Evaluation practice.
Job DescriptionAs a Delivery Leader focused on Measurement, Evaluation and Digital, you’ll work with leaders in the public sector (government, philanthropy, non-profits) to define their theory of change, build and operate systems for collecting the right data, and assess and evaluate programs to generate evidence that will drive greater impact in their work.
DA works closely with governments at every level, all over the world, to implement policy in a way that translates to real outcomes for everyday people. We do the same for foundations and social impact organizations, helping turn innovative programs into lasting impact.
In short, we help public sector partners get things done. We use a clear methodology to solve problems and help our partners deliver results. We’re successful in part because we master our approach and in part because we are empathetic, resourceful, level-headed, and dedicated to our clients and the people they serve.
- Build relationships: Earn trust and influence among diverse stakeholders, especially in the public sector or nonprofit world.
- Facilitate and coach: Run effective meetings and workshops that drive toward problem solving and consensus.
- Collect, manage and analyze raw data to extract actionable insights and recommendations and visualize it for decision making.
- Model data to identify patterns and forecast future trends: Utilize advanced analytical and statistical techniques and tools to reveal relationships within datasets, enabling prediction of outcomes and informed decision-making
- Write, visualize and communicate clearly: Turn complex problems or insights into clear memos and well-structured slides; speak clearly and concisely in remote and in-person settings. Be able to simplify complexity, translating technical language into digestible narratives that enable great decision making of different audiences.
- Prioritize and manage projects: Bring clear structure and planning to day-to-day work and communication.
- Solve problems: Break down problems and identify root causes before developing hypotheses and solutions.
- Stay focused: Navigate complexity, especially in policy and program implementation, consistently steering large coalitions back to a single-minded focus on priority outcomes.
- Adaptable
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Public sector work is dynamic. Our people are, too. - Analytical
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We identify, dissect, and solve complex problems. - Accountable
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We are a remote team. We work collaboratively but self-sufficiently; oversight is often minimal. - Driven
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Our work is important, so it’s important we do it well. - Curious
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We never stop learning from our clients, colleagues, and partners.
Many of our people have backgrounds in management consulting, public sector implementation, government, philanthropy, non-profits, think tanks / policy research, and international development. Some come from startups and tech. Most have some experience with our major verticals: education, public health, sustainability, economic development, agriculture. But we’ve done this long enough to know that what matters most is your skill set and your mindset.
We’re open to lots of backgrounds as long as you can show us you’re an analytical thinker, a clear communicator, a team player, and an avid learner.
- A minimum of 3 years of relevant, full time work experience in government, consulting, public policy, or tech; previous economics, evaluation, or data scientist experience ideal.
- Quantitative analysis skills, demonstrated experience with statistics, econometrics and/or data science techniques and practices.
- Knowledge of Excel and Google Sheets required; knowledge of programming/econometrics software (R, Python, Stata, etc.) and/or visualization platforms (Tableau, Power BI), preferred.
- Knowledge of data warehousing solutions, big data, machine learning and/or the use of artificial intelligence (AI) tools for data processing.
- Demonstrated comfort using or learning GenAI tools (e.g., ChatGPT, Claude, Gemini) to support…
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