The Monitoring, Evaluation and Learning (MEL) officer will support the design, implementation, and continuous strengthening of the project's Monitoring, Evaluation and Learning (MEL) system. The incumbent will ensure high-quality data collection, analysis, reporting, and utilization to support evidence-based decision-making, adaptive programme management, accountability, and documentation of project outcomes. The MEL Lead will work closely with the Brihanmumbai Municipal Corporation (BMC), project staff, healthcare facilities, laboratories, and other stakeholders to strengthen surveillance systems, monitor programme performance, and generate operational evidence to support sustainable malaria elimination. 

Duty Station: Mumbai, Maharashtra

Key Responsibilities 

Monitoring and Evaluation 

• Lead the implementation of the project's Monitoring, Evaluation and Learning (MEL) framework in accordance with Results-Based Management (RBM) principles. 

• Develop annual MEL plans, monitoring schedules, indicator tracking tools, and reporting templates. 

• Operationalize the project's Results Framework, including monitoring of outputs, outcomes, and impact indicators. 

• Ensure systematic tracking of project milestones, deliverables, and key performance indicators. 

Data Management and Analysis 

• Strengthen routine data collection, validation, compilation, and management systems across intervention wards. 

• Establish and maintain integrated digital monitoring systems and performance dashboards. 

• Analyze epidemiological, programme, laboratory, surveillance, and vector control data to generate actionable insights. 

• Monitor data quality through routine Data Quality Assessments (DQAs), validation exercises, and supportive supervision. 

• Ensure completeness, accuracy, timeliness, and consistency of project data. 

Surveillance and Programme Performance 

• Monitor malaria surveillance performance, including reporting completeness, timeliness, case notification, diagnosis, treatment initiation, radical cure completion, and vector surveillance indicators. 

• Support integration of public and private sector surveillance data. 

• Develop GIS-based analytical products in collaboration with technical teams to support hotspot identification and programme planning. 

• Generate routine performance reports highlighting trends, achievements, implementation gaps, and corrective actions. 

Learning and Adaptive Management 

• Lead quarterly performance reviews and annual learning workshops. 

• Facilitate data-driven decision-making by presenting programme performance to project leadership and BMC. 

• Document implementation experiences, best practices, innovations, and lessons learned. 

• Support operational research, implementation science initiatives, and dissemination of project evidence. 

• Contribute to the development of policy briefs, technical publications, conference presentations, and knowledge products. 

Reporting 

• Prepare high-quality monthly, quarterly, annual, and donor reports. 

• Ensure timely reporting against project indicators and contractual obligations. 

• Produce data visualization products, dashboards, scorecards, and presentations for management and stakeholders. 

• Maintain project databases and indicator repositories. 

Capacity Building 

• Train project staff, municipal teams, and healthcare workers on monitoring tools, data quality, digital reporting systems, and use of programme data. 

• Build institutional capacity within BMC for routine monitoring, performance review, and evidence-based planning. 

• Mentor ward coordinators and technical staff on data management and reporting. 

Coordination 

• Collaborate closely with the Project Lead, Entomologist, Ward Coordinators, laboratory teams, surveillance officers, and BMC officials. 

• Coordinate with digital health, GIS, and surveillance teams to improve interoperability and programme intelligence. 

• Participate in technical review meetings, supervisory visits, and stakeholder consultations. 

Required Qualifications 

• Master's degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Statistics, Demography, Monitoring and Evaluation, or a related field. 

• Formal training in Monitoring and Evaluation, Health Information Systems, GIS, or Data Analytics is desirable. 

Experience 

• Minimum 5- 7 years of progressively responsible experience in monitoring and evaluation of public health programmes. 

• At least 3 years of experience in malaria, vector-borne diseases, or communicable disease programmes is preferred. 

• Experience working with government health systems, donor-funded programmes, or international development organizations. 

• Demonstrated experience in developing MEL frameworks, indicator tracking systems, digital dashboards, and data visualization. 

• Experience with GIS, epidemiological analysis, and operational research is highly desirable. 

Technical Skills 

• Results-Based Management (RBM) 

• Monitoring and Evaluation framework design 

• Epidemiological data analysis 

• Health Management Information Systems (HMIS) 

• Digital surveillance systems 

• GIS and spatial analysis 

• Data visualization (Power BI, Tableau, DHIS2, or similar platforms) 

• Statistical software (Excel, SPSS, STATA, R, or similar) 

• Data quality assurance and validation 

• Technical report writing 

Core Competencies 

• Analytical and critical thinking 

• Strategic planning 

• Attention to detail 

• Leadership and team management 

• Problem-solving and decision-making 

• Communication and presentation skills 

• Stakeholder engagement 

• Capacity building and mentoring 

• Planning and organizational skills 

Key Performance Indicators (KPIs) 

• ≥95% of reporting facilities submitting complete surveillance reports on time. 

• ≥90% of confirmed malaria cases reported within 24 hours. 

• ≥90% of confirmed malaria cases initiated on treatment within 24 hours. 

• ≥90% of eligible Plasmodium vivax patients completing radical cure. 

• ≥80% of identified malaria hotspots receiving targeted response within seven days. 

• 100% of intervention wards routinely using digital dashboards for programme review. 

• Quarterly Data Quality Assessments completed with documented corrective actions. 

• Monthly, quarterly, and annual reports submitted on schedule. 

• Annual learning reviews and dissemination of lessons learned completed. 

• High-quality data products supporting programme planning, adaptive management, and policy development.