Monitoring, Evaluation, and Learning (MEL) Officer at Women, Children’s Health and Community Development (WOCHAD) Initiative

Responsibilities

• Lead the design and implementation of the project’s Monitoring, Evaluation, Accountability, and Learning (MEAL) framework.
• Develop and manage M&E plans, indicator tracking tools, data collection instruments, and reporting templates.
• Ensure accurate, timely collection, verification, analysis, and visualization of project data across all nutrition activities.
• Track progress against output, outcome, and impact indicators in line with donor and national reporting standards.
• Support routine data quality assessments (DQAs) and field-level monitoring visits.
• Generate periodic M&E reports, dashboards, learning briefs, and success stories.
• Support baseline, midline, endline, and special assessments, including surveys and evaluations.
• Collaborate with technical teams to integrate learning and adaptive management into implementation.
• Strengthen the M&E capacity of project staff, community volunteers, and partners through mentoring and training.
• Ensure alignment of project indicators with SPHDA, SMOH, and national nutrition/MNCH reporting systems.
• Support accountability mechanisms, including beneficiary feedback and community scorecards.

Requirements

• Bachelor’s degree (Master’s preferred) in Public Health, Monitoring & Evaluation, Statistics, Social Sciences, Nutrition, or a related field.
• 5–7 years of progressive experience in M&E for donor-funded nutrition, health, or MNCH programs.
• Strong knowledge of results-based management, logical frameworks, and indicator performance tracking.
• Experience with data collection platforms (e.g., DHIS2, KoboToolbox, ODK, CommCare, or similar).
• Proven skills in data analysis, interpretation, visualization, and reporting.
• Familiarity with nutrition indicators, IYCF, CMAM, or community health programming is an added advantage.
• Excellent technical writing, communication, and presentation skills.
• Ability to work collaboratively with government counterparts, community actors, and development partners.
• High level of integrity, attention to detail, and commitment to data quality and learning.