MINIMUM POSITION QUALIFICATION REQUIREMENTS
Academic & Professional
- Education Bachelor’s Degree Statistics/ Public health/ Social Sciences/ Community Development/ Education/ Related Field RQ
- Professional Qualifications Member of a Relevant Professional Body/Relevant Professional Qualification AA
- Masters Degree Statistics/ Public health/ Social Sciences/ Community Development/ Education/ Related Field AA
Experience
Total Minimum No of Years Experience Required
Detail Minimum No of Years Need Type[2]
- Programme Monitoring, Evaluation & Learning 6 ES
- Programme/project design 6 ES
- Grant management 5 ES
- Benefits realisation framework management 3 DE
- Donor management & reporting 5 ES
- M&E Management Information 5 ES
- Data management & analysis 5 ES
- Stakeholder & relationship management 7 ES
- People Management 5 ES
Design and Develop Monitoring and Evaluation Systems:
- Lead the design and implementation of the project monitoring and evaluation framework as well as the implementation and management of the Foundation’s management information system.
- Ensure the establishment of clear indicators, targets, and data collection methodologies aligned with project objectives and donor requirements.
- Develop tools, templates, and guidelines for data collection, analysis, and reporting.
- Collaborate with Project team and partners to identify their M&E related needs and allocate resources accordingly.
Implement Monitoring and Evaluation Activities:
- Oversee the implementation of M&E plans, including data collection, analysis, and reporting processes.
- Coordinate with program teams to ensure timely and accurate data collection and reporting.
- Oversee regular monitoring and evaluation to support implementation of systems.
Data Analysis and Reporting:
- Lead regular and ad-hoc reporting on the performance and impact of KCBF Programs
- Analyse quantitative and qualitative data to assess program effectiveness, identify trends, and generate insights.
- Prepare comprehensive M&E reports for internal and external stakeholders, including donors, government agencies, and partners.
- Communicate findings and recommendations to inform decision-making and program adaptation.
Quality Assurance:
- Provide guidance and mechanisms to ensure quality assurance is maintained at all levels of programmatic work and particularly at results level.
- Lead the development of transparent high quality accountability mechanisms, including beneficiary feedback and response mechanisms, and ensure they are regularly monitored and evaluated.
- Work with peers and other program leads to promote the use of information and evidence for strategic decision-making.
- Ensure quality, consistency and adherence to standards and best practices for M&E across the project, including the data quality use.
Capacity Building and Training:
- Lead the capacity building of program staff on M&E concepts, tools, and methodologies.
- Foster a culture of learning and evidence-based decision-making within the organization.
- Develop learning programs for continuous quality improvement and impact evaluation.
Leadership:
- Provide leadership for M&E team including project M&E staff and support, train, and mentor the ream to effectively M&E functions.
- Establish team goals and objectives by setting clear goals and objectives for the M&E team that is aligned with organizational priorities and programmatic needs.
- Provide ongoing leadership, guidance, and support to the M&E, fostering a collaborative and high-performing work environment.
- Conduct regular performance evaluations, provide constructive feedback, and identify opportunities for professional development and growth for team members.
- Facilitate collaboration and communication between the M&E team, risk and control, finance, program teams and other stakeholders to ensure alignment and synergy in M&E practices.
- Ensure compliance with data governance policies, standards, and regulations, and promote a culture of data ethics and integrity within the organization.
- Lead efforts to continuously review and improve data quality assurance processes, tools, and methodologies to enhance efficiency and effectiveness.
- Engage with internal and external stakeholders to understand their M&E needs, address concerns, and promote a shared understanding of data quality assurance principles and practices.
Knowledge Management:
- Lead Knowledge Management across programs in the Foundation.
- Oversee special studies that inform project performance and management including documentation.
- Facilitate the use of project data with partners, staff, and other stakeholders to inform decision-making and to identify lessons learned and promising practices Manage a centralized repository of program data, reports, and best practices.
- Facilitate knowledge sharing and learning events to promote organizational learning and continuous improvement.
Stakeholder Engagement:
- Collaborate with program managers, donors, government counterparts, and other stakeholders to ensure alignment of M&E activities with program goals and objectives.
- Represent the organization in M&E-related forums, workshops, and conferences.