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Education
• Master’s degree in Monitoring & Evaluation, Entrepreneurship, Economics, Statistics, Data Science or related fields. A PhD is an added advantage.
• Relevant certifications (e.g., RBM, Impact Evaluation, Data Use/Analytics) are an advantage.
Professional Experience
• Minimum 8 years of experience in monitoring, evaluation, learning, and impact management, performance management, data and data use for decision making.
• Demonstrated experience leading MEAL systems in large donor-funded programmes with strict compliance and reporting requirements (e.g., Mastercard Foundation, World Bank, USAID, EU, AfDB or equivalent).
• Demonstrated experience working in African contexts (required).
• Proven experience designing and implementing results frameworks, performance measurement systems, and evaluation methodologies.
• Demonstrated experience managing programme reporting, data quality assurance, and audit-ready systems.
• Experience engaging with multi-stakeholder environments, including development partners and senior government officials.
• Experience in digital economy, ICT, or innovation ecosystem programmes is an asset.
• Experience in gender-responsive programming and inclusion-focused data analysis is an asset.
Technical Competencies
• Strong expertise in results-based management, indicator development, and performance measurement frameworks.
• Experience in data analysis, interpretation, and visualisation (e.g., dashboards, Excel, Power BI or similar tools).
• Strong knowledge of monitoring and evaluation methodologies, including baseline, midline, endline, and impact evaluations.
• Experience in designing and implementing data quality assurance (DQA) systems and verification processes.
• Strong reporting, documentation, and compliance tracking skills aligned with donor requirements.
• Experience aligning programme performance data with financial disbursement and reporting requirements.
• Strong risk identification, analysis, and escalation capabilities related to programme performance and data integrity.
• Experience working with digital data collection tools (e.g., Kobo, ODK) is an advantage.
Attributes
In addition to technical qualifications, candidates must demonstrate the following behavioural competencies:
• Strong analytical and strategic thinking skills with the ability to translate data into actionable insights.
• High level of attention to detail and rigour in data management and reporting.
• High level of professionalism, ethical judgment, and confidentiality.
• Strong accountability, structured problem-solving, and decision-making abilities.
• Ability to work effectively in dynamic, multi-country and multi-stakeholder environments.
• Strong communication, facilitation, and stakeholder engagement skills.
• Strong diplomatic skills and emotional intelligence.
• Ability to anticipate, manage, and escalate risks appropriately.
• Ability to meet strict reporting timelines and manage multiple priorities.
• Commitment to continuous learning, innovation, and professional growth.
Language Requirement
• Fluency in both English and French.
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