Assistant Manager - Monitoring and Evaluation

TechnoServe; Mumbai; On-site; INR 900,000 - 1,200,000; Full time

Job summary

TechnoServe in Mumbai is seeking an Assistant Manager for its Monitoring, Evaluation, and Learning (MEL) initiatives. This role involves leading MEL components, developing frameworks, and collaborating with teams to drive strategic decision-making. The ideal candidate should have a Master’s degree and 5–7 years of experience in social sciences research or data analytics. Excellent communication and analytical skills are essential, as well as proficiency with Google Workspace and MS Office. This opportunity is pivotal for using data insights to improve project outcomes.

Qualifications

• Master’s or equivalent degree in economics, statistics, public policy, development studies, management, or a related field applicable to evaluation and data science.
• 5–7 years of experience in social sciences research, data analytics, or consulting.

Responsibilities

• Identify and implement information-gathering approaches.
• Develop and execute data-capture and reporting plans.
• Manage and update the repository of documentation.
• Ensure alignment between the MEL team and stakeholders.
• Scope and outline research questions and data requirements.
• Design baseline, annual, and end-line evaluations.
• Set up mechanisms for data quality checks.
• Analyse and consolidate evaluation findings.
• Support framework and system development for key indicators.
• Provide technical assistance and training to staff.
• Design and lead deployment of dashboards.
• Review monthly, quarterly, and annual monitoring reports.

Skills

Knowledge of standard MEL frameworks

Ability to engage with evaluation approaches

Experience developing rigorous survey instruments

Excellent analytical skills

Ability to interpret data-analysis insights

Experience in field work and collaboration

Excellent communication skills

Proficiency in Google Workspace and MS Office

Education

Master’s degree in relevant field

Job description

Position description - Assistant Manager, MEL: The Assistant Manager will lead the monitoring, evaluation, and learning component for TechnoServe projects under the guidance of a supervisor. This role involves collaborating with TechnoServe teams to develop robust results frameworks and MEL plans, design and operationalize monitoring and evaluation activities, and close the loop on a learning agenda that informs and drives strategic decision‑making.

Responsibilities

• Identify and implement information‑gathering approaches to fill knowledge gaps relevant to project decision‑making.
• Develop and execute data‑capture and reporting plans against project performance indicators and emergent needs.
• Manage and update the repository of documentation associated with the projects’ data systems.
• Ensure alignment between the MEL team and stakeholders on program updates and action items through regular, clear engagement.
• Scope and outline research questions and data requirements, set up research frameworks, and plan implementation studies.
• Design baseline, annual, and end‑line evaluations that track program results and associated logistics.
• Set up mechanisms for data quality checks and monitoring frameworks to review survey data.
• Analyse and consolidate evaluation findings to present actionable insights to stakeholders.
• Support the development of frameworks and systems that track key indicators, including data‑quality and cleaning mechanisms.
• Provide technical assistance and training to program staff in data collection, analysis, review, and use.
• Design and lead deployment of dashboards that summarize the program’s progress toward key indicators.
• Review and provide feedback for improvement on monthly, quarterly, and annual monitoring reports.

Skills and Competencies

• Knowledge of standard MEL frameworks such as theory of change, logical framework, and results framework.
• Ability to engage with and explain evaluation approaches, including familiarity with OECD‑DAC evaluation criteria.
• Experience developing, programming, pre‑testing, and refining rigorous survey instruments and pre‑analysis plans.
• Excellent analytical skills, ability to manage large datasets, and conduct multivariate analysis using standard applications.
• Ability to interpret and explain data‑analysis insights to non‑MEL stakeholders at a high level.
• Demonstrated experience in field work and stakeholder collaboration on quantitative and qualitative research.
• Excellent communication skills (oral, listening, and written).
• Proficiency in Google Workspace and MS Office suite.

Qualification and Experience

• Master’s or equivalent degree in economics, statistics, public policy, development studies, management, or a related field applicable to evaluation and data science.
• 5–7 years of experience in social sciences research, data analytics, or consulting.