Senior Manager, Monitoring, Evaluation & Learning

KEY RESPONSIBILITIES.

  1. 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.
  1. Implement Monitoring and Evaluation Activities:
  • Oversee the implementation of M&E plans, including data collection, analysis, and reporting processes.
  • Coordinate with teams to ensure timely and accurate data collection and reporting.
  • Oversee regular monitoring and evaluation to support implementation of systems.
  1. 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.
  1. 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 independent, accountable and 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.
  1. Capacity Building and Training:
  • Lead the capacity building of 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.
  1. 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.
  1. 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.
  1. 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.
  1. DAILY RESPONSIBILITIES: NOT MORE THAN 5 OF THE MOST TYPICAL
  • Facilitate the use of project data with partners, staff, and other stakeholders to inform decision-making and to identify lessons learned and promising practices.
  • Provide guidance to ensure quality assurance is maintained at all levels of programmatic work and particularly at results level by offering technical support.
  • Support project M&E leads in reporting, compliance and data quality checks.
  • Work with other project leads to support relationships, networks and synergies within and outside the organization to promote the use of information and evidence for strategic decision-making.

MINIMUM POSITION QUALIFICATION REQUIREMENTS

Academic & Professional

Particulars Detail Specific Field or Qualification Need Type
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

 

 

 

Total Minimum No of Years Experience Required

 

 

8

 

Detail Minimum No of Years Need Type
Programme Monitoring, Evaluation & Learning 8 ES
Programme/project design 6 ES
Grant management 5 ES
Benefits realization 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

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