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Monitoring, Evaluation & Learning Manager; Foundation

Job in 411001, Pune, Maharashtra, India
Listing for: Without
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 500000 - 700000 INR Yearly INR 500000.00 700000.00 YEAR
Job Description & How to Apply Below
Position: Monitoring, Evaluation & Learning Manager (Foundation Without)
We're in the early stages of shaping our approach, and we're looking for a  Monitoring, Evaluation & Learning (MEL) Manager  to help us build systems that track progress, evaluate success, and guide our interventions.
Help us create systems that empower marginalized communities to become informed decision-makers, driving their journey toward long-term stability, independence, and self-sufficiency.
This role sits at the intersection of data, research, and field reality. You will help us measure progress, understand what works, and track how households progress across multiple interventions, using a multidimensional understanding of poverty.
You will also play a key role in shaping what graduation and meaningful progress look like in our context. If you can think clearly, analyze deeply, and stay grounded in real-world impact, we want to meet you.

What We Are Looking For :

Experience:

2 to 5 years of experience in MEL, impact measurement, applied research, program learning, or a similar role
Research mindset:  You know how to frame questions, test assumptions, interpret evidence carefully, and avoid shallow conclusions
Measurement understanding:  You understand concepts like multidimensional poverty, household-level change, intervention-level measurement, and output vs outcome tracking
Framework building:  Experience contributing to, strengthening, or building MEL frameworks, indicators, baseline/endline approaches, and progress tracking systems
Data capability:  Strong with Excel / Google Sheets, data structuring, analysis, and turning messy information into usable insights
Quant + qual comfort:  Ability to work with both quantitative data and qualitative insights from the field
Field grounding:  Exposure to community-based work and the ability to translate real-world observations into meaningful indicators and systems
Comfort with ambiguity:  You are able to work in early-stage environments where definitions and frameworks are still evolving, and can help shape clarity over time
AI curiosity and initiative:  Strong interest in applying AI to MEL, research, and data analysis. You are a quick learner who actively experiments with tools to improve the speed and quality of analysis, framework building, and reporting
Respect for people:  You do not see people as case studies, victims, or just data points. You understand that good measurement must remain people-centred
Clarity and honesty:  You care about getting to the truth, not just producing neat reports

Location:

Willingness to spend meaningful time in Pune, with occasional field immersion. This is not a remote-first role

What You'll Do:
Work with the team to  define what should be measured,  not just how it should be measured
Help build MEL systems across individual interventions and overall household journeys, starting from early-stage hypotheses
Support the development of frameworks grounded in a graduation approach, while helping shape what graduation could realistically mean in this context
Analyse data to identify patterns, gaps, and signals of what is driving change
Work across dimensions like livelihoods, health, education, and access to systems
Engage deeply with programme teams and field realities to ensure that what is being measured reflects actual change, not just reported activity
Translate lived realities into meaningful indicators and tracking approaches
Turn insights into learning loops that help teams understand what to continue, stop, or change
Support the creation of monthly, quarterly, donor, and impact reports
Use AI and other tools thoughtfully to support analysis, synthesis, and system building, without losing context or nuance
Contribute to a measurement culture that is rigorous, grounded, honest, and useful

Your Compensation:
Annual CTC:  ₹5 – 7 lakh  (based on experience and fit)
3-month mutual incubation period. Both you and we will have the option to end the agreement after three months if it isn't working out
We provide benefits such as health insurance, flexible work hours (including unmonitored vacation) & paid leaves
A builder-stage role with significant ownership and room to shape systems from early on
We believe in keeping the organizational structure as flat as possible, where nobody really reports to anybody, but instead, we try and hold each other accountable for outcomes and processes

Please apply here to be considered:
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