Project and Monitoring, Evaluation and Learning (PMEL) OfficerExpiring Soon!

• Translate the approved proposal, budget and develop a results framework into a detailed
• month implementation plan, responsibility matrix, milestone tracker and reporting calendar.
• Support the CAN Coordinator to coordinate delivery across the core Secretariat, five Sub- regional Focal Persons, IAB, ADF, consultants and other partners while maintaining clear operational and oversight roles.
• Facilitate regular Secretariat and focal-person planning meetings; document decisions, responsibilities, deadlines and follow-up actions; escalate delays and dependencies promptly.
• Maintain an integrated tracker covering activities, deliverables, indicators, risks, partner commitments and management actions, and support timely corrective measures to ensure all the planned activities are delivered on time.
• Coordinate the inception process, mid-term reflection, end-of-project learning review.
• Finalise and operationalise a proportionate PMEL framework aligned with Liliane Fonds templates and CAN’s draft M&E framework, including indicator definitions, disaggregation, data sources, frequency, responsibilities and data-quality controls.
• Design and roll out harmonised tools for events, membership engagement, focal-person reporting, network functionality, knowledge products, communication analytics, CAN–ADF outputs, accessibility and institutional capacity.
• Design, conduct and document a light baseline and endline, including CAN’s institutional- capacity self-assessment, and maintain auditable evidence for every reported result.
• Set up and maintain a secure central results database/dashboard and organised means- of-verification archive with version control and restricted access where required.

Qualifications & Experience:

• Bachelor’s degree in Monitoring and Evaluation, Statistics, Economics, Development
• Studies, Project Management, Social Sciences, Public Health or a related field. A postgraduate qualification is an added advantage.
• At least 3 years of relevant professional experience in project coordination and results- based monitoring, evaluation and learning, preferably in a multi-country or network programme.
• Experience managing data from distributed teams and conducting data-quality assurance, verification and means-of-verification audits.
• Arabic or Portuguese is an added advantage.
• Demonstrated ability to develop results frameworks, indicator reference sheets, data- collection tools, dashboards, baselines/endlines, CRM systems, AI knowledge and donor reports.
• Strong quantitative and qualitative research skills, including survey design, data cleaning, descriptive analysis, synthesis and presentation of findings for decision-making.
• Advanced proficiency in Excel and practical competence in one or more data-analysis or visualisation tools such as Power BI, R, Stata, KoboToolbox or equivalent.
• Experience with disability inclusion, OPDs, CBR/CBID, knowledge networks. is a strong advantage.
• Understanding of safeguarding, informed consent, data protection and ethical collection and use of disability-disaggregated information.
• Languages and Core Competencies
• Excellent written and spoken English is required. Professional French is strongly preferred;

Skills & Competencies:

• Bachelor’s degree in Monitoring and Evaluation, Statistics, Economics, Development
• Studies, Project Management, Social Sciences, Public Health or a related field. A postgraduate qualification is an added advantage.
• At least 3 years of relevant professional experience in project coordination and results- based monitoring, evaluation and learning, preferably in a multi-country or network programme.
• Experience managing data from distributed teams and conducting data-quality assurance, verification and means-of-verification audits.
• Arabic or Portuguese is an added advantage.
• Demonstrated ability to develop results frameworks, indicator reference sheets, data- collection tools, dashboards, baselines/endlines, CRM systems, AI knowledge and donor reports.
• Strong quantitative and qualitative research skills, including survey design, data cleaning, descriptive analysis, synthesis and presentation of findings for decision-making.
• Advanced proficiency in Excel and practical competence in one or more data-analysis or visualisation tools such as Power BI, R, Stata, KoboToolbox or equivalent.
• Experience with disability inclusion, OPDs, CBR/CBID, knowledge networks. is a strong advantage.
• Understanding of safeguarding, informed consent, data protection and ethical collection and use of disability-disaggregated information.
• Languages and Core Competencies
• Excellent written and spoken English is required. Professional French is strongly preferred;