This position is remote-based. Applicants from marginalized or underrepresented groups and those based in the Asia, Africa, Europe/Eurasia, Latin America and Caribbean, and Middle East/North Africa regions are highly encouraged to apply. *
FHI 360 is recruiting a Senior Monitoring, Evaluation Learning Officer for the Inclusive Development and Equitable Assistance (IDEA) Leader with Associates. The purpose of this award is to respond to the needs and priorities of MUGVPs and communities of all diverse identities and experiences and build the capacity of organizations that serve MUGPVs to help them meet their goals.
This potential full-time position is eligible for remote work. The position is expected to begin after October 1, 2023. Employment is contingent upon successful award of the project to FHI 360, as well as USAID approval of the finalist.
Position Description:
The Senior Monitoring, Evaluation will provide technical leadership to gather program intervention results, ensure high-quality, timely, valid and verifiable data collection and analysis, and develop and implement a learning agenda to inform policy makers and other collaborators of the lessons learned. The MEL Manager shall be responsible for the knowledge management aspect of the project, collecting and aggregating methods, lessons, and results from across Associate Awards and partner organizations. The MEL Manager will provide technical guidance by designing and developing ME&L systems and procedures for funded activities. This includes establishing key components of an ME&L system including data collection, analysis, and reporting on key output, outcome and impact indicators for the mechanism.
Duties & Responsibilities:
Lead development and dissemination of evidence-based tools, materials, reports, papers, and interventions within the project.
Develop and maintain the MEL information system that can demonstrate impact and program accountability and progress.
Perform data analytics and intelligence, data visualization and analysis.
Oversee and directly support to the development and implementation of ME&L tools and systems to improve ability to collect, interpret and aggregate data that demonstrate impact and program accountability and progress.
Develop and lead the design and implementation of end of project evaluations, surveys and other components of the program ME&L system.
Develop high quality quantitative and qualitative methods and participatory methodologies to supervise program quality for performance and results.
Provide training to staff, primary collaborators, and implementing partners on ME&L components in project design; such as monitoring plan, assessments, reviews, surveys and evaluations.
Design and lead the program learning plan and organize trainings in ME&L and program learning goals, objectives, and findings to consortium partners and collaborators.
Identify best practices for documentation as success stories, technical reports, or peer review publications and reviews surveillance, research and evaluation publications prior to release to collaborators.
Provide ongoing oversight and technical assistance to national partners in designing and implementing evaluation activities for capacity strengthening.
Provide quality and timely submission of all required project reports.
Perform other duties as assigned.
Qualifications:
A masterโs degree (or higher) required in a relevant field, or equivalent combination of education and work experience in a relevant competency area, including statistics, international development, economics, or other areas.
At least 12 years' experience to include:
Five (5) years prior experience leading monitoring and evaluation research teams in large international programs; and
Five (5) years prior experience conducting quantitative and qualitative research in field-based positions.
Five (5) years prior experience in developing and using knowledge management platforms to support data analysis, monitoring and evaluation of development programming.
Proficient with Microsoft Tools, including Excel and PowerPoint, and possess advanced computer skills for data extraction, manipulation, visualization and analysis.
Proficient with database management systems. PowerBI experience preferred