Role: Lead - LME, Delhi. Experience: 10 to 15 years. Location: New Delhi / Flexible with frequent travel to project sites across India. Reporting to: Director - Research.

Role Overview

We are looking for a data-driven leader to manage our national and state-level Learning, Monitoring, and Evaluation (LME) strategy. This role is responsible for establishing robust M&E; frameworks, managing multi-tier database systems, and building real-time data visualisations to drive adaptive program management and strengthen government partnerships. The ideal candidate will combine strong hands-on technical skills in data collection and analytics with strategic experience in large-scale public systems.

Key Responsibilities

1. Lead & Oversee LME Strategy and Decision-Making

- Framework Development: Design and manage national and state-specific LME frameworks, ensuring core indicators capture reach, dosage, and fidelity of implementation .
- Real-Time Monitoring: Oversee multi-state data collection workflows to ensure accurate, timely, and actionable data on program expansion and field activity.
- Learning Reviews: Lead routine data reflection cycles (every 3-6 months) with leadership and field teams to translate monitoring trends into operational and strategic course corrections.
- Evaluative Studies: Collaborate with research teams and government partners to execute longitudinal and evaluative protocols assessing both individual and system-level outcomes. 2. Systems, Architecture & Dashboard Design

- Tiered Database Management: Build and manage scalable databases structured around multi-tier public administration hierarchies (e.g., School District State National level).
- Tailored Data Visualization: Design dual-purpose visual analytics platforms:
- Detailed Dashboards: Granular,



operational views for internal monitoring and program teams.
- Simplified Dashboards: Executive summaries and clean, high-level views tailored for government officials and school leaders.

- Data Integrity: Implement validation rules and automated workflows to ensure data quality and completeness across large-scale field collections. 3.

Capacity

Building & Field Enablement

- Non-Technical Training: Design and execute practical training programs to help non-technical field staff, trainers, and district coordinators enter, review, and act on data.
- Tool Suitability: Develop and validate contextual assessment tools (e.g., Master Trainer assessment protocols) suited for specific field training contexts. Required Technical Capabilities & Qualifications

1. Data Collection & Field Tools

- Hands-on Expertise: Proficiency in building, deploying, and managing forms on ODK (Open Data Kit) or KoboToolbox .
- Lightweight Workflows: Proven experience integrating Google Forms and Google Sheets (via scripts, formulas, or third-party connectors) for quick deployments with smaller field teams.

- UX for First-Time Users: Demonstrated experience designing digital data collection interfaces for users with low digital literacy (e.g., government school staff, field enumerators). 2.

Analytics & Statistical Modeling

- Advanced Spreadsheet Skills: Expertise in Excel (advanced formulas, Pivot Tables, power queries,



data models).
- Statistical Packages: Hands-on experience executing complex statistical analyses in SPSS, R, or Stata .
- Core Metrics: Deep understanding of tracking implementation metrics, including reach, dosage, and fidelity. 3. Dashboards & Visualization

- BI Platforms: Hands-on experience developing interactive dashboards in Power BI or Tableau .
- Web-Based Analytics: Experience creating lightweight visual reports in Google Looker Studio (Data Studio) .
- Multi-Tier UI Design: Ability to present the same dataset in two distinct layouts: deep-dive operational dashboards vs. high-level executive summaries. 4. Database Architecture & Government Systems Exposure

- Scale & Hierarchy: Track record of managing databases tracking hundreds of schools, districts, and teachers across multiple states.
- Government MIS Familiarity: Direct experience or robust working knowledge of government education management information systems like UDISE+ or similar state/national public databases. Experience & Qualifications

- Experience: 10+ to 15+ years of experience in LME, data systems architecture, or research operations within social development or public systems.
- Education: Masters degree in Economics, Statistics, Public Policy, Social Work, or related quantitative field required; M.Phil/Ph.D. preferred.

Hiring Process

- Step 1: HR Interview Round

- Step 2: Assignment
- Step 3: Technical Round of Interview

- Step 4: Final Interview

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead - LME (New Delhi)
🏢 Ground Zero
📍 New Delhi