Job Description
Johannesburg – Gauteng – South Africa, Cape Town – Western Cape – South Africa
- Together with the SDI Team Head, drive the design and execution of developmental evaluations and nimble experiments to improve effectiveness and responsiveness.
- Develop and implement fit-for-purpose monitoring and evaluation frameworks that align with strategic goals and learning priorities.
- Establish and refine key performance indicators (KPIs) and feedback mechanisms to track programme progress and impact.
- Support teams to design and implement rapid cycle learning and experimentation processes to test and adapt programme models.
- Ensure that evaluation findings and experimental insights are synthesised into actionable recommendations.
- Together with the SDI Team Head, drive the development and management of monitoring frameworks and tools to track programme performance and network-wide impact.
- Enhance the use of data dashboards and performance reports to support real-time decision-making.
- Enable data collection, analysis, and interpretation across the network.
- Build capacity across teams to engage with performance data, identify gaps, and take corrective action.
- Facilitate alignment between MERL frameworks and funder expectations, reporting needs, and organisational strategy.
- Synthesise data and insights to support leadership in sense-making, decision-making, and action-taking.
- Enable teams to apply systems thinking approaches to understand complex programme dynamics and improve strategic alignment.
- Promote coherence and alignment between monitoring, evaluation, learning, and strategy, seeking to ensure that theory of change is embedded into how decisions are made.
- Collaborate with the Data, Sense-Making, and Insights Team to strengthen data governance, integrity, and accessibility.
- Support the development of data feedback loops that enable real-time learning and adaptation.
- Build team and partner capacity to engage with and interpret data for programme improvement and strategic decision-making.
- Ensure that MERL data is integrated into organisational decision-making and strategy development.
- Co-create the conditions for network-wide rapid learning, iterative experimentation, and collective intelligence.
- Drive the use of insights from MERL activities to inform programme design, scaling decisions, and innovation.
- Develop feedback mechanisms to ensure that insights from experiments and evaluations are used to improve programme models.
- Foster a culture of disciplined innovation and structured experimentation across the network.
- Develop and implement mechanisms for capturing and sharing lessons learned across the organisation and network.
- Facilitate learning exchanges and peer-to-peer knowledge-sharing to build collective intelligence.
- Work closely with the Innovation & Learning Portfolio, Programme Teams, and Development & Partnerships to align MERL activities with strategic priorities.
- Capacity Building: Develop and deliver training on MERL methodologies, adaptive management, and data interpretation.
- Ethics and Integrity: Ensure that MERL activities adhere to data governance, ethical standards, and regulatory requirements.
- Change Management: Support teams and partners in adopting MERL tools, frameworks, and practices.
- Minimum Masters Degree or equivalent in Monitoring & Evaluation, Social Sciences, Public Policy, or a related field.
- At least 5 years of experience in MERL, developmental evaluation, and/or adaptive management in complex organisational contexts.
- Experience conducting experiments/studies/evaluations (e.g. developmental evaluations, rapid-cycle experiments, etc.)
- Excellent English writing skills, with a proven ability to synthesise complex data into actionable insights for strategic decision-making.
- Experience working with social impact organisations, programmes, or networks.
- Expertise in developmental evaluation, adaptive management, and rapid-cycle learning.
- Strong analytical and synthesis skills, with the ability to generate insights from complex data.
- Knowledge of Monitoring, Evaluation, and Learning (MEL) frameworks and tools.
- Capacity to design and facilitate reflective practices, learning loops, and adaptive strategies.
- Familiarity with systems thinking and strategic coherence approaches.
- Strong stakeholder engagement and capacity-building skills.
- Advantageous: Proficiency with data analysis and visualisation tools (e.g., Power BI) and Microsoft Dynamics 365 and/or similar CRM software.
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