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Project Lead – Research, Monitoring, Evaluation, Assessments & Learning (RMEAL)

  • Company

    Central Square Foundation (CSF)

  • Location

    New Delhi(Delhi)

  • Employment Type

    Full-Time

  • Functional Category

    Monitoring, Evaluation & Learning

  • Experience

    6 - 8 years

About Central Square Foundation (CSF)

Central Square Foundation is a non-profit organisation working with the vision of ensuring quality school education for all children in India. Since 2012, we have been partnering with the government and ecosystem stakeholders to improve the learning outcomes of children, especially from low-income communities. We are driven by our mission to enable the school education system to adopt solutions that are scalable, sustainable and effective, so that all children get equal access to opportunities needed for leading a better life.

Overview of the Role

As Project Lead – RMEAL, you will drive the design, quality assurance, and learning agenda for evidence generation across CSF’s EdTech and AI-enabled initiatives. You will work in close partnership with the EdTech vertical to ensure evaluations are methodologically robust, decision-relevant, and embedded into program and ecosystem strategy.

Job Description

Evidence Design & Methodological Execution:
• Design and review rigorous evaluation approaches (RCTs, quasi-experimental, mixed-methods).
• Review SAPs, tools, and analytical outputs.

Evaluation Quality Assurance & Process Stewardship:
• Guide end-to-end evaluation processes.
• Use structured QA tools and templates.

Learning, Insights & Translation:
• Translate findings into actionable insights and learning products.

Stakeholder & Partner Engagement:
• Support funder, government, and partner engagements.

Team Support & Capability Building:
• Mentor junior team members and support onboarding.
• Planning, Delivery & Portfolio Management:
• Manage timelines, budgets, and reporting.

Required & Preferred Qualifications

Skill

• Strong command of statistical analysis using tools such as Stata, R, or Python.
• Ability to develop and review study plans and Statistical Analysis Plans (SAPs) for experimental and quasi-experimental study designs.
• Ability to work with complex survey data, sampling designs, and weighting.
• Experience working with dashboards or data visualization tools (e.g., Power BI, Tableau, Data Studio) is desirable.
• Familiarity with qualitative analysis tools and mixed-methods research workflows is an added bonus.
• Strong documentation skills (methods notes, technical briefs, learning memos).

Education

Master’s degree in Economics, Public Policy, Education, Statistics, or related field.

Experience

6–8 years of experience in research, evaluation, or evidence-informed program design. Experience with quantitative and mixed-methods evaluations. Ability to translate research into decision-oriented insights.