Overview
The MERL Coordinator - SRH Alliance provides overall coordination of MERL planning, implementation, assessments, monitoring and evaluation of the SRH Alliance program. The role leads Monitoring, Evaluation, Researching Learning (MERL) systems for the SRH Alliance programme, ensuring evidence-based, adaptive, and accountable implementation.
Key Responsibilities
- Lead baseline, midline, endline evaluations, assessments, and outcome harvesting.
- Ensure high-quality data management, analysis, visualization, and reporting.
- Strengthen accountability systems, including Community Feedback and Response Mechanisms (CFRM).
- Drive organizational learning by establishing learning agendas, documenting best practices, and promoting adaptive management.
- Build the capacity of staff, partners, and local CSOs in Results-Based Management (RBM), MERL systems, data management, and digital tools.
- Ensure the integration of gender equality, meaningful and inclusive youth participation (MIYP), disability inclusion, conflict sensitivity, and climate adaptation within MERL processes.
- Strengthen centralized information management systems and oversee qualitative and quantitative data collection and analysis.
- Coordinate performance review meetings, disseminate learning products, and support evidence-based program improvement and policy influence.
- Promote meaningful participation of adolescents, youth, and persons with disabilities in monitoring and evaluation processes.
- Represent the SRH Alliance in technical working groups, research forums, and stakeholder platforms, while fostering partnerships.
Required Experience
- A minimum of five years of progressive professional experience in MERL in related Alliance or Consortium programs/projects.
- Demonstrated experience in qualitative and quantitative data collection, tools development and analysis.
- Strong experience in data analysis using statistical and analytical software such as SPSS, RSTATA, Python etc. and good enough in qualitative data analysis tool like Nvivo.
- Experience in the use of Digital Data Collection tools like Kobotool box, CommCare /and data visualization tools like Power BI, Tableau etc.
- Experience in planning, budgeting, and coordinating consortium projects is implied but not explicitly listed.
- Experience in working with similar program and Dutch MoFA funded MEAL framework is preferred
- Experience experience in working on SRH and/or related programs/projects.
- Experience in Results-Based Monitoring and PMERL is an asset.
- Experience in working on consortium projects and with local partners in similar program is an asset.
- Prior experience and expertise in applying MEAL strategies from a gender transformative and inclusive approach is desirable
Qualifications
Bachelor’s degree in Statistics / Economics/ Information Science / Reproductive Health or Public Health/ Development Studies or Sociology and related fields.