Learning and Impact Associate, Supreme Lifelines Project at Amref Kenya

Job Summary

The Learning and Impact Officer will provide technical and operational support for SUPREME LIFELINES implementation research in Kenya, working closely with the Research lead at headquarters., The role will focus on planning, coordinating, and executing the Kenya research and MEL plan; managing day-to-day research operations; and ensuring high-quality data collection and compliance with ethical and regulatory requirements. The Officer will manage collaborate with technical, national, and county teams to analyze and apply emerging evidence, support adaptive programme improvements, and facilitate the effective uptake and scale-up of research findings across SUPREME Lifelines implementation counties.

Principal Responsibilities

Technical and Research Support

• Support co-creation of learning questions and conceptualization/design of implementation research protocols.
• Provide day-to-day technical support for all SUPREME LIFELINES research activities in Kenya.
• Support research approvals processes.
• Support research assistant training, data collection, and overall study execution.

Data Analytics and Visualization

• Support data cleaning, quality assurance, and integration from multiple sources.
• Perform exploratory and statistical analysis using appropriate software and methods.
• Support the development and design of interactive dashboards and visualizations to communicate findings.
• Support qualitative and mixed-methods data analysis as required.

Evidence Documentation, Sharing and Management

• Support in the documentation and synthetization of evidence into knowledge products (e.g., manuscripts, policy briefs, learning briefs, blogs).
• Support dissemination of findings through webinars, workshops, round-ups, and community/county/national forums.
• Support in the collation and management of knowledge products in Amref’s Knowledge Management Hub.

M&E Implementation

• Support MEL activities, including development of MEL plans, data quality assessments, and project reporting.
• Monitor project implementation to capture results, impacts, best practices, lessons learned, and challenges.
• Ensure data integrity through validation and quality assurance processes.

Evidence Uptake and Scale

• Work with technical and county teams to integrate evidence into service delivery models.
• Support cross-learning and knowledge exchange across counties and at the national level.
• Support advocacy initiatives to inform policy and strategic documents.
• Collaborate with stakeholders to co-create pathways for adoption and scale-up of proven interventions.

Continuous Improvement

• Stay informed about advancements in data analytics techniques, tools, and technologies.
• Identify opportunities for process improvement and optimization through data-driven approaches.
• Contribute to the development of data analytics strategies and initiatives to drive organizational growth and innovation

Collaboration and Capacity Building

• Liaise with internal and external Learning and Impact experts to share best practices.
• Actively participate in Research Community of Practice meetings.
• Conduct field monitoring and mentoring visits to support implementation of the Learning Agenda.
• Support development and review of guidelines and SOPs to institutionalize learning.

Business Development

• Support resource mobilization through proposal development in partnership with technical leads.

Reporting and Integration

• Support production of the Annual Technical Report.
• Support integration of Learning and Impact activities within the broader MEL unit and project structure.

Qualifications

Education and Experience

• Bachelor's degree in Data Science, Information Management, Statistics, Demography, Epidemiology or a health-related field.
• At least 3-5 years of experience as a Research or Impact Officer, Data Analyst or similar role, with a strong track record of data analysis and interpretation, preferably within a health- oriented NGO
• Proven experience in designing and leading implementation research in maternal health will be an added advantage
• Detailed knowledge of key research tools, quality assurance skills, research coordination and management, stakeholder engagement, Writing skills, dissemination and evidence translation, best practices and familiarity and application of Artificial Intelligence (AI).
• Experience working with County devolved health system and thorough knowledge on Kenya Health Information System (KHIS) and Kenya electronic Community Health Information System (eCHIS)
• Proficiency in programming languages such as Python, R, SQL, or similar for data manipulation and analysis.
• Experience in qualitative data analysis and designing mixed methods studies
• Experience with data visualization tools such as Tableau, Power BI, or similar.