Project Lead (Consultant) – RMEAL

Central Square Foundation; Delhi; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Central Square Foundation in Delhi seeks a Project Lead (Consultant) for RMEAL to drive evidence generation across EdTech and AI initiatives. You will design robust evaluations, ensure quality, and translate findings into learning products while engaging funders and partners.

The role involves mentoring junior staff, managing timelines and budgets, and embedding rigorous methods into program strategy with a focus on ethical evidence and collaboration.

Qualifications

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

Responsibilities

• Design and review rigorous evaluation approaches (RCTs, quasi-experimental, mixed-methods).
• Guide end-to-end evaluation processes and QA.
• Translate findings into actionable insights and learning products.
• Engage funder, government, and partner engagements.
• Mentor junior team members and support onboarding.
• Plan, deliver, and manage portfolios with timelines and budgets.

Skills

Research experience

Evaluation design

Insights translation

Stakeholder engagement

Team mentorship

Project management

Learning agility

Education

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

Tools

Stata

R

Python

Power BI

Tableau

Data Studio

Job description

About The Job Project Lead (Consultant) - RMEAL

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

Location

Delhi

About Central Square Foundation

Central Square Foundation (CSF) is a non-profit philanthropic foundation working to ensure quality school education for all children in India. We believe strong foundational learning outcomes are critical for lifelong learning and equity. CSF focuses on four core areas: Foundational Literacy & Numeracy (FLN), EdTech, Early Childhood Education (ECE), and School Governance.

About RMEAL At CSF

The Research, Monitoring, Evaluation, Assessment & Learning (RMEAL) function at CSF serves as the organization's central evidence and learning spine. RMEAL partners closely with program verticals—including EdTech to design, execute, quality-assure, and translate rigorous evidence into actionable insights for decision-making at scale.

Position Summary

As Project Lead (Consultant) – 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.

Key Responsibilities

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 Qualifications & Experience

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

Technical Skills Required

• 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).

Desired Qualities

• Commitment to rigorous, ethical evidence.
• Strong collaboration and influencing skills.
• Comfort working across ambiguity and multiple workstreams.
• High learning agility.

Compensation

Compensation will be competitive with Indian philanthropy and social-impact sector benchmarks.