(RFP300381) – Senior Research Associate- MEL – Nairobi, Kenya

Support BRAINS project MEL efforts and facilitate evidence-based decision-making.

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Alliance of Bioversity International and CIAT

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Application deadline 1 year ago: Friday 25 Apr 2025 at 00:10 UTC

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Overview

Support BRAINS project MEL efforts and facilitate evidence-based decision-making.

You have:

  • Postgraduate degree in Monitoring and Evaluation, Management, agribusiness, Economics, Development Studies, or related sustainable agriculture fields.
  • A minimum of three years of relevant experience in MEL, preferably within the context of gender-focused agriculture or rural development projects.
  • Familiarity with donor MEL requirements and standards, particularly those related to GAC, is essential.
  • Strong analytical and problem-solving skills, with the ability to interpret and synthesize complex data sets.
  • Proficiency in data management tools such as ODK and analysis software such as Excel, R, SPSS, STATA and programming.
  • Experience working with CGIAR or other international organisations and familiarity with working in Sub-Saharan Africa is desirable but not mandatory.

Job Description

THE ORGANIZATION

The Alliance of Bioversity International & CIAT delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation.

The Alliance works with local, national, and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. The Alliance is part of CGIAR, a global research partnership for a food-secure future, dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services.

About the Project

Building Equitable Climate-Resilient African Bean and Insect Sectors (BRAINS) project is a project funded by Global Affairs Canada (GAC) and implemented by the Pan-Africa Bean Research Alliance (PABRA) within the Alliance of Bioversity & CIAT in partnership with the International Centre for Insect Ecology and Physiology (icipe). BRAINS is an initiative to promote low-carbon, climate-resilient economies in 15 sub-Saharan African (SSA) countries. The project will enhance climate resilience among women, youth farmers, and value chain actors through accelerated delivery of participatory climate-smart technologies/innovation development. It also aims to build enterprises that invest in carbon-neutral, climate- resilient and gender-responsive business development. Beans, fruit trees, and insect value chains offer opportunities for transformative changes in Africa. BRAINS will leverage PABRA and icipe network, products and past investments across Africa to scale up climate adaption impacts across the 15 implementing countries, directly and indirectly, benefiting 10 and 50 million people, respectively.

Job Description

We are seeking to recruit a Senior Research Associate-Monitoring, Evaluation, and Learning (MEL) who will support BRAINS project MEL efforts, oversee collection, analysis, and utilization of data to track project progress, assess impact, and facilitate evidence-based decision-making. The Senior Research Associate-MEL will work closely with the BRAINS project coordination teams, Bean program & PABRA Monitoring, Evaluation, and Learning specialist, NARS and private sector partners, consultants on all MEL activities and reporting.

Responsibilities:

MEL System Development:

  • Under supervision, support the design, development, and implementation of a comprehensive and participatory (partner-centred) MEL framework in alignment with the approved project objectives and donor requirements.
  • Support development of develop digital MEL tools and protocols to guide data collection, analysis, and reporting throughout the project lifecycle.
  • Co-establish data quality assurance procedures to ensure collected data is accurate, reliable, and complete.

    Data Collection and Management:

  • Collect data regularly with partners to measure achievement against the performance indicators. Subsequently, the Senior Research Associate- MEL will update activity dashboards to track project progress against indicators and targets.

  • Maintain and administer the M&E database; analyze and aggregate findings. Ensure continuous updating of the project database and tools.
  • Manage databases and information systems for storing, organising, and analyzing project-related data.
  • Collaborate efficiently with all project partners across the provinces and ensure that everyone involved in the project components can access the database.

    Monitoring and Reporting:

  • Monitor the implementation of the project against planned activities, timelines, indicators, and targets while identifying any deviations and challenges.

  • Under supervision, prepare and share periodic progress reports, dashboards, and presentations on key performance indicators, achievements, and lessons learned for internal and external stakeholders.
  • Ensure timely sharing of MEL reports with project partners, donors, and other relevant stakeholders. Reports should highlight successes, challenges, and recommendations while ensuring accurate communication of project progress.

    Impact Assessment and Learning :

  • Support initiatives to evaluate the transitional impact and effectiveness of the BRAINS project interventions.

  • Carry out evaluations, surveys, and studies to assess changes in knowledge, attitudes, and behaviours among project beneficiaries.
  • Organise learning workshops, reflection sessions, and knowledge-sharing events to encourage continuous improvement and adaptive management.
  • Co-lead impact assessments and evaluations to assess the effectiveness and outcomes of the project interventions.

    Capacity Building and Support :

  • Provide training and technical support to the BRAINS project staff, partners, and stakeholders on MEL concepts, tools, methodologies, and systems to enhance their capacity and understanding of MEL practices.

  • Enhance the ability of BRAINS project partners to collect, analyse, and utilise MEL data for decision-making and accountability.
  • Cultivate a culture of evidence-based learning and data-driven decision-making within the project team and partners to encourage continuous improvement and informed actions.

    Requirements

  • Postgraduate degree in Monitoring and Evaluation, Management, agribusiness, Economics, Development Studies, or related sustainable agriculture fields.

  • A minimum of three years of relevant experience in MEL, preferably within the context of gender-focused agriculture or rural development projects.
  • Familiarity with donor MEL requirements and standards, particularly those related to GAC, is essential, alongside excellent communication and interpersonal skills and the ability to collaborate effectively with diverse teams and stakeholders.
  • Experience in supporting development and implementation of design, M&E systems from project initiation to closeout stages.
  • Strong analytical and problem-solving skills, with the ability to interpret and synthesize complex data sets.
  • Proficiency in data management tools such as ODK and analysis software s​uch as Excel, R, SPSS, STATA and programming.
  • Familiarity with donor MEL requirements and standards, particularly those related to GAC.
  • Experience working with CGIAR or other international organisations and familiarity with working in Sub-Saharan Africa is desirable but not mandatory.

We offer a dynamic and collaborative work environment where you can make a meaningful contribution to the success of aspiring entrepreneurs. If you are a self-driven individual with a passion for business acceleration, we invite you to join our team and help shape the growth of promising startups.

Terms of Employment

This position is a nationally recruited position based in Nairobi, Kenya. The initial contract will be for two years subject to a probation period of 3 months and is renewable depending on performance and availability of resources.

This position is graded at BG07 level, with a minimum basic salary of KES 227,931 in a scale of BG01 to BG14 (BG14 being the highest level according to the Alliance job classification framework policy). We offer a competitive salary and excellent benefits including but not limited to insurance, retirement plan, staff training and development, paid time off and flexible working arrangements.

The Alliance Bioversity-CIAT is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation, contributes to our excellence, and is critical for our mission.

Recruiting and mentoring staff to create an inclusive organization that reflects our global character is a priority. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, marital status, and gender identities. Female candidates are strongly encouraged to apply.

Applications

Applicants are invited to visit https://alliancebioversityciat.org/careers to get full details of the position and to submit their applications. Applications MUST include reference number RFP300381 – Senior Research Associate- MEL as the position applied for. Cover letter and CV should be saved as one document using the candidate’s last name, first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.

Applications closing date**: 25th April 2025**

Please note that email applications will not be considered.

Only short-listed candidates will be contacted.

We invite you to learn more about us at:

http://alliancebioversityciat.org

Potential interview questions

Can you share an example of a MEL framework you have designed in the past? The interviewer wants to evaluate your practical experience in MEL framework development. Discuss the project, the objectives of the MEL framework, and the outcomes.
How do you ensure the accuracy and reliability of data collected? This question assesses your understanding of data quality assurance. Pro members can see the explanation.
Describe a time you had to analyze complex data sets. What tools did you use? Pro members can see the explanation. Pro members can see the explanation.
What strategies do you use for effective stakeholder communication? Pro members can see the explanation. Pro members can see the explanation.
Can you provide an example of a learning workshop you organized? Pro members can see the explanation. Pro members can see the explanation.
How do you handle challenges or deviations from project targets? Pro members can see the explanation. Pro members can see the explanation.
What methodologies do you apply in conducting impact assessments? Pro members can see the explanation. Pro members can see the explanation.
How have you adapted MEL practices to suit local contexts? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: alliancebioversityciat.org