Head of Research, Monitoring and Evaluation - Harare,Zimbabwe

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Coordinates the development of Data Driven Project Documents including M&E frameworks. Informing Programming using Data and Evidence.
Leads project teams in the development and implementation of M&E systems and oversee routine program monitoring activities.
Ensure the quality and relevance of the project’s monitoring and evaluation design.
Develops and implements databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Support circulation and promote dialogue of monitoring results with a range of internal and external stakeholders.
Manages critical analysis of strengths and weakness of the processes, lessons learned, and guiding principles.
Ensure that performance indicators for the projects are appropriate to their respective hierarchical level along the results chain.
Develops baseline data for each project component and for all project indicators.
Develops a plan for project-related capacity-building on M&E and for any computer-based support that may be required.
Ensures the quality of M&E related data to be collected throughout the program implementation.
Crafts dashboards for monitoring and evaluation framework.
Assist the Team Leads in preparing other relevant reports, concepts informed by data. Act as a focal point to organise and manage monitoring reviews, evaluations and/or data analytics.
Manages and develops data collection systems, data analytics frameworks and other strategies that optimize statistical efficiency and quality.
Interprets data and analyze results using statistical techniques and provide ongoing reports.
Analysing spatial data through the use of mapping software, discovering patterns and trends through spatial mapping of data, designing digital maps with geographic data and other data sources.
Engages internal and external stakeholders on data analytics and identify opportunities for synergies on data needs.
Works with teams to define key priority research questions, identify priority sectors specific to projects, and working with teams in formulating research designs.
Design and run evidence-based experiments respective projects – providing feedback to teams on new products and models. Designing trials, executing trials and conclusively developing scaling methodology of successful products.
Meets with M&E staff, discusses and agrees medium and short term objectives and develops work plans.
Provide supervision, advisory support and feedback to M&E staff.
Carries out on-going evaluation of M&E staff, identifies performance strengths and deficiencies, and arranges for necessary action.

Key Skills
Attention to detail
Negotiation skills
Excellent written and oral communication skills
Presentation Skills
Decision Making Skill
Monitoring and Evaluation Framework's
Strong technical skills, including ability to process and analyze qualitative and quantitative data using one or more statistical software packages, including at least one of the following: SPSS, Epi-Info, STATA, SAS, R, Python, Excel and MS Access.
Possess experience with relevant electronic data collection and management system.