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.