Develop and support collaborative, learning and adaptive (CLA) approaches throughout the entire project to ensure that findings from all monitoring, assessment and survey activities are fed back into the project and disseminated to stakeholders and consortium partners for continuous program adjustments.
Oversee and coordinate data collection activities, including learning assessments and contextual assessments.
Develop high quality quantitative and qualitative methods and participatory methodologies to monitor program quality for performance and results; design appropriate feedback mechanisms to assess whether approaches implemented by the project are effective.
Working closely with the COP, lead team of MERL officers and provide training to staff, primary stakeholders, and implementing partners on MERL components in project design; such as monitoring plan, assessments, reviews, surveys and evaluations.
Provide ongoing oversight and technical assistance to consortium partners implementing monitoring and evaluation system, ensuring data and analysis are of high quality.
Lead data systems strengthening efforts, building the capacity of government and other stakeholders.
Oversee the publication and dissemination of information on successful and promising approaches, lessons learned and other program results to program partners, donors, government counterparts, and other key stakeholders.
Provide high quality and timely submission of all required project reports, including documentation of success stories, analysis of data for indicator calculation, summary of qualitative findings, etc.
Work collaboratively with members of FHI 360's Research & Evaluation team to achieve project MERL goals.
Required Qualifications

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Master's degree in monitoring and evaluation, education, international development, or related field from an accredited university.
At least 12 years of experience related to monitoring, evaluating and reporting on programs related to education in complex, resource-constrained settings.
Experience in design and implementation of MERL systems for USG-funded projects.
Experience with learning assessments; experience with early grade reading assessments preferred.
Experience with Collaborating, Learning and Adapting (CLA) Frameworks and related data utilization.
Strong quantitative and analytical skills and ability to articulate technical information clearly and effectively to both technical and non-technical audiences.
Expertise in education integrating gender equality and social inclusion into MEL systems.
Demonstrated expertise in rigorous quantitative and qualitative education research and analytical methods.
Excellent report writing, analytical, and communication skills, including oral presentation skills.
Demonstrated statistical analysis skills and use of relevant software (Excel, ODK/Kobo, PowerBi, SAS, Stata, SPSS, Epi Info, Atlas).