Assistant Director, Monitoring, Evaluation, Research & Learning (MERL) - Gates Project at Society for Family Health (SFH)

Job Profile:

This position reports to the Project Director and will provide oversight on all MERL activities for the Gates MNHC project in Gombe, Northeast Nigeria. S/He will be responsible for the design and development of programme specific Performance Monitoring Plans (PMP) as well as monitoring and evaluation plans at SFH and partner levels. S/He will adopt existing SFH monitoring tools; propose new ways of measuring change through the use of both quantitative and qualitative data collection tools. The successful candidate will be responsible for establishing and managing database to track progress towards meeting project goals while taking the lead in aligning, collecting and reporting on relevant programme indicators to the organisation-wide M&E system. S/He will coordinate internal and external reviews and lead the analysis of findings with strong emphasis on learning and review regular programme reports of MNHC project for submission to donor. S/He will finalise the project monitoring and evaluation plan with the donor, manage implementation of the plan, design studies, analyze data, prepare reports, commission studies as needed, provide timely evidence for project decision making, lead data interpretation sessions with programmers and assure use of the most recent and innovative research methodologies.

Qualifications/Experience:

• Must possess a first degree in Statistics/Economics/Medical/Behavioural/Social Sciences or  its equivalent in a relevant field.
• Must possess a minimum of a Masters degree in Demography, Public Health, Epidemiology or Biostatistics/Statistics.
• Must have minimum of between 10-12 years progressive experience in MCH/RH related surveillance and/or research with wide ranging knowledge of research methodologies.
• Must have in-depth experience in preparing research for publications and presenting research findings to public health and policy specialists, media and the general public. The successful candidate must show evidence of published peer reviewed articles in scientific journals.
• Must possess ability to analyze and interpret both quantitative and qualitative data to inform programming.
• Must be proficient in the use of SPSS, STATA, Epi Info or CS Pro.
• Knowledge of DHIS database software will be of added advantage.
• Must have proven experience working in a fast paced non-governmental environment, and also with a variety of donors.
• Must have excellent interpersonal, communication (oral and written) and presentation skills.
• Logistics & Distribution Assistant Manager  (Gates Project) (based in Gombe)

Job Reference Code: Log&DistrGates-ext