Key Responsibilities

M&E System Design and Strengthening

• Support clients in setting up, deploying, and strengthening MEL functions.
• Design and strengthen MEL strategies, frameworks, policies, guidelines, systems, and tools.
• Develop and refine results frameworks, theories of change, logical frameworks, indicator matrices, learning questions, and performance tracking systems.
• Support the roll-out and operationalisation of MEL systems, tools, and reporting processes within client programmes and institutions.
• Contribute to the design of workflows, user guidance, reporting templates, and data governance arrangements that support effective use of MEL systems.
• Support the integration of learning and adaptive management considerations into MEL system design and implementation.

Evaluations, Verification and Data Quality Assurance

• Lead and contribute to baseline, midline, endline, process, performance, and impact evaluations across public and development sector programmes.
• Design and implement evaluation methodologies, including mixed-methods approaches, sampling strategies, data collection tools, analytical frameworks, and fieldwork plans.
• Support or manage independent verification assignments, including verification design, fieldwork planning, validation, quality assurance, and reporting.
• Conduct data quality assessments, verification exercises, and technical reviews to strengthen the integrity and reliability of programme data.
• Support qualitative and quantitative data collection, including document review, key informant interviews, focus group discussions, surveys, and validation processes.
• Contribute to evidence synthesis and analysis across multiple data sources to generate clear findings, lessons, and actionable recommendations.

Reporting, Analytics and Performance Management

• Support data collection, validation, analysis, and reporting using appropriate monitoring and performance management tools.
• Prepare technical reports, dashboards, presentations, policy briefs, and other client-facing outputs.
• Support development of methodologies and tools for tracking, validating, and reporting programme outputs, outcomes, and impacts.
• Apply data analytics and digital tools to strengthen programme monitoring, reporting efficiency, and performance insights.
• Support the design and use of dashboards, visualisation tools, and digital reporting systems using platforms such as Power BI, Tableau, and other relevant tools.
• Present findings and analysis in clear, concise, and visually effective formats for technical and non-technical audiences.

Learning, Adaptation and Capacity Building

• Support clients and programme teams to document and share lessons learned, best practices, and programme insights.
• Facilitate or support learning and reflection processes that help clients translate evidence into practical programme improvements and adaptive management actions.
• Contribute to knowledge harvesting, evidence synthesis, and sensemaking processes across assignments.
• Build capacity of clients, partners, and implementing teams on MEL systems, data quality, reporting, and use of digital tools.
• Capture, synthesise, and document lessons, insights, and evidence emerging from ongoing and completed assignments.
• Contribute to knowledge products, thought leadership, and internal capability building in MEL and data analytics.
• Lead or support research and knowledge harvesting processes linked to projects delivered by the International Development and Public Sector Consulting team.

Business Development and Stakeholder Engagement

• Support the growth of PwC’s M&E and data analytics portfolio, including opportunity identification, client engagement, and development of concept notes, proposals, and presentations.
• Support project planning, work planning, coordination, stakeholder engagement, and reporting across assignments.
• Represent PwC in technical working groups, consultative meetings, progress reviews, and client engagements where required.
• Contribute to research, portfolio analysis, and internal learning products that support proposition development, thought leadership, and growth of the team’s advisory portfolio.
• Collaborate with multidisciplinary teams across PwC offices within the East Market Area ( Kenya, Tanzania, Uganda, Rwanda, and Zambia).

Preferred Skills and Competencies

• Practitioner experience in designing and strengthening M&E systems within public sector or development programmes.
• Experience in deploying and operationalising M&E systems, tools, and reporting processes in programme or institutional settings.
• Experience in managing programmatic knowledge harvesting and dissemination.
• Demonstrated ability to use digital and AI-enabled tools to improve data analysis, reporting efficiency, and evidence generation.
• Demonstrated ability to deliver evaluations, verification assignments, and data quality reviews.
• Good understanding of results-based management, programme performance, and evidence use.
• Experience using data analytics, dashboards, and digital reporting tools to improve monitoring and decision-making.
• Experience deploying digital M&E systems and data collection tools for monitoring, surveys, verification, and reporting, including platforms such as KoboToolbox, ODK, SurveyCTO, DHIS2, Power BI, Tableau, Python, or similar tools.
• Experience in undertaking research, knowledge harvesting, and learning reviews within development or public sector programmes.
• Ability to capture and synthesise lessons from project delivery into clear knowledge products, insights, and practical recommendations.
• Strong stakeholder engagement and communication skills, with the ability to work effectively with clients, partners, and technical teams.
• Ability to synthesise complex evidence and data into clear, practical insights and recommendations.
• Strong analytical, organisational, and project management skills.
• Ability to work across multiple assignments, sectors, and teams in a dynamic consulting environment.

Qualifications

• Master’s degree in relevant fields such as Data Science, Monitoring and Evaluation, Statistics, Economics, Development Studies, Public Policy, Applied Mathematics, or another relevant field.
• Professional certification in Monitoring and Evaluation, data analytics, or related areas.
• Qualifications or certification in impact measurement frameworks such as IRIS+, GIIN IMP, ISEAL, or Gold Standard.
• Certification or training in AI for M&E or use of digital tools in evidence and learning systems.

Experience

• A minimum of 3 years of relevant practitioner experience in Monitoring and Evaluation, data analytics, development research, or related areas.
• Demonstrated experience working with development partners, public sector programmes, NGOs, financial institutions, or international development organisations.
• Proven experience in:
  • designing, deploying, and implementing M&E frameworks, systems, and methodologies
  • supporting baseline, midline, endline, and impact evaluations
  • managing or supporting independent verification assignments
  • strengthening performance reporting and data quality assurance systems
  • using digital tools and platforms to support M&E delivery, reporting, and analysis
  • leading or supporting research, knowledge harvesting, or learning exercises linked to programme or project delivery
  • facilitating stakeholder consultations, validation workshops, or learning sessions
• Experience using statistical and analytical tools such as Python, Power BI, Tableau, or similar platforms.

• Support clients in setting up, deploying, and strengthening MEL functions.
• Design and strengthen MEL strategies, frameworks, policies, guidelines, systems, and tools.
• Develop and refine results frameworks, theories of change, logical frameworks, indicator matrices, learning questions, and performance tracking systems.
• Support the roll-out and operationalisation of MEL systems, tools, and reporting processes within client programmes and institutions.
• Contribute to the design of workflows, user guidance, reporting templates, and data governance arrangements that support effective use of MEL systems.
• Support the integration of learning and adaptive management considerations into MEL system design and implementation.
• Lead and contribute to baseline, midline, endline, process, performance, and impact evaluations across public and development sector programmes.
• Design and implement evaluation methodologies, including mixed-methods approaches, sampling strategies, data collection tools, analytical frameworks, and fieldwork plans.
• Support or manage independent verification assignments, including verification design, fieldwork planning, validation, quality assurance, and reporting.
• Conduct data quality assessments, verification exercises, and technical reviews to strengthen the integrity and reliability of programme data.
• Support qualitative and quantitative data collection, including document review, key informant interviews, focus group discussions, surveys, and validation processes.
• Contribute to evidence synthesis and analysis across multiple data sources to generate clear findings, lessons, and actionable recommendations.
• Support data collection, validation, analysis, and reporting using appropriate monitoring and performance management tools.
• Prepare technical reports, dashboards, presentations, policy briefs, and other client-facing outputs.
• Support development of methodologies and tools for tracking, validating, and reporting programme outputs, outcomes, and impacts.
• Apply data analytics and digital tools to strengthen programme monitoring, reporting efficiency, and performance insights.
• Support the design and use of dashboards, visualisation tools, and digital reporting systems using platforms such as Power BI, Tableau, and other relevant tools.
• Present findings and analysis in clear, concise, and visually effective formats for technical and non-technical audiences.
• Support clients and programme teams to document and share lessons learned, best practices, and programme insights.
• Facilitate or support learning and reflection processes that help clients translate evidence into practical programme improvements and adaptive management actions.
• Contribute to knowledge harvesting, evidence synthesis, and sensemaking processes across assignments.
• Build capacity of clients, partners, and implementing teams on MEL systems, data quality, reporting, and use of digital tools.
• Capture, synthesise, and document lessons, insights, and evidence emerging from ongoing and completed assignments.
• Contribute to knowledge products, thought leadership, and internal capability building in MEL and data analytics.
• Lead or support research and knowledge harvesting processes linked to projects delivered by the International Development and Public Sector Consulting team.
• Support the growth of PwC’s M&E and data analytics portfolio, including opportunity identification, client engagement, and development of concept notes, proposals, and presentations.
• Support project planning, work planning, coordination, stakeholder engagement, and reporting across assignments.
• Represent PwC in technical working groups, consultative meetings, progress reviews, and client engagements where required.
• Contribute to research, portfolio analysis, and internal learning products that support proposition development, thought leadership, and growth of the team’s advisory portfolio.
• Collaborate with multidisciplinary teams across PwC offices within the East Market Area ( Kenya, Tanzania, Uganda, Rwanda, and Zambia).

• Practitioner experience in designing and strengthening M&E systems within public sector or development programmes.
• Experience in deploying and operationalising M&E systems, tools, and reporting processes in programme or institutional settings.
• Experience in managing programmatic knowledge harvesting and dissemination.
• Demonstrated ability to use digital and AI-enabled tools to improve data analysis, reporting efficiency, and evidence generation.
• Demonstrated ability to deliver evaluations, verification assignments, and data quality reviews.
• Good understanding of results-based management, programme performance, and evidence use.
• Experience using data analytics, dashboards, and digital reporting tools to improve monitoring and decision-making.
• Experience deploying digital M&E systems and data collection tools for monitoring, surveys, verification, and reporting, including platforms such as KoboToolbox, ODK, SurveyCTO, DHIS2, Power BI, Tableau, Python, or similar tools.
• Experience in undertaking research, knowledge harvesting, and learning reviews within development or public sector programmes.
• Ability to capture and synthesise lessons from project delivery into clear knowledge products, insights, and practical recommendations.
• Strong stakeholder engagement and communication skills, with the ability to work effectively with clients, partners, and technical teams.
• Ability to synthesise complex evidence and data into clear, practical insights and recommendations.
• Strong analytical, organisational, and project management skills.
• Ability to work across multiple assignments, sectors, and teams in a dynamic consulting environment.

• Master’s degree in relevant fields such as Data Science, Monitoring and Evaluation, Statistics, Economics, Development Studies, Public Policy, Applied Mathematics, or another relevant field.
• Professional certification in Monitoring and Evaluation, data analytics, or related areas.
• Qualifications or certification in impact measurement frameworks such as IRIS+, GIIN IMP, ISEAL, or Gold Standard.
• Certification or training in AI for M&E or use of digital tools in evidence and learning systems.