Director, Strategic Research & Evidence
2026-09-30T13:22:07+00:00
World Vision Kenya
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_8131/logo/wv.png
https://www.wvi.org/kenya
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Nonprofit, and NGO
Management, Business Operations, Social Services & Nonprofit, Science & Engineering
2026-10-14T17:00:00+00:00
8
World Vision is an international Christian relief, development and advocacy organisation working in almost 100 countries world-wide to create lasting change in the lives of children, families and communities to overcome poverty and injustice.
Director, Strategic Research & Evidence
Job TypeFull Time
QualificationMBA/MSc/MA
Experience12 years
LocationNairobi
Job FieldProject and Program Management
JOB PURPOSE.
Lead World Vision's applied research, evidence generation and learning translation function, using child data across the partnership - Annual Impact Measurement (AIM/AIM+), programme monitoring, evaluations, operational research and commissioned studies - to produce decision-useful, externally credible evidence. The role commissions and leads applied research, evidence synthesis and university partnerships; translates findings into actionable learning and strategic insight; and ensures evidence informs programme quality, fundraising, policy influence and senior leadership decisions. Child Data Analytics & Insights retains ownership of analytics, dashboards, data products and analytical services.
KEY RESPONSIBILITES
Applied Research, Evidence Synthesis & Child Data Insights
- Lead applied research and evidence synthesis using child data from AIM/AIM+, programme monitoring, evaluations, operational research, commissioned studies and other evidence sources.
- Deliver the annual AIM/AIM+ insight narrative as a research/learning product, translating WVI’s Global Strategy - Our Promise, Phase 3 (OP3) and senior-leadership questions into answerable research questions, data stories and decision-use products.
- Commission and/or lead secondary analyses of the 400,000+ household AIM data set and other datasets to generate cross-country insights across child wellbeing, resilience, vulnerability, equity and integrated sector outcomes.
- Set interpretation standards for child-data research, including methods, uncertainty, claim boundaries, reproducibility and responsible use of sensitive data.
- Coordinate with Design Monitoring Evidence Accountability and Learning (DMEAL) and data governance on data availability, quality, extracts and analytical constraints.
OP3 Applied Research Portfolio & Commissioned Studies
- Translate the OP3 research agenda into a sequenced portfolio of studies across Integrated Child Wellbeing Pathways, Christian Faith/Spiritual Nurture/Child Flourishing, Climate Stress and Child Resilience, Long-Term Community Transformation, and Local-to-Global Systems Transformation.
- Commission, scope, lead and quality assure research studies, evidence syntheses, secondary analyses, mixed-methods, ex-post/longitudinal and quasi-experimental or comparative designs.
- Ensure research designs address cross-sector programming questions across health, nutrition, WASH, livelihoods, child protection, resilience, climate, faith and development, systems transformation, and humanitarian/nexus contexts.
- Develop or approve research questions, theories of change, protocols, TORs/RFPs, analysis plans, sampling approaches, ethics/IRB pathways, data-use agreements, publication plans, technical review processes and acceptance criteria.
- Coordinate with Field Office and Regional Office (FO/RO) teams, Support Offices, sector leads, Grants Acquisition and Management (GAM), Advocacy and External Engagement (A&EE), Disaster Management (DM), universities and external researchers so commissioned studies are rigorous, feasible, field-grounded and operationally usable.
REQUIRED EDUCATION, TRAINING, LICENSE, REGISTRATION, AND/OR CERTIFICATION.
- Master’s degree or equivalent in Statistics, Biostatistics, Epidemiology, Public Health, Data Science, Economics, Social Sciences, International Development, Evaluation, Implementation Science, or a related research-intensive discipline.
- Formal training in quantitative methods, research design, evaluation, data analysis, or equivalent professional experience.
REQUIRED PROFESSIONAL EXPERIENCE.
- At least 12 years of progressive experience in applied research, evidence synthesis, impact evaluation, statistics/biostatistics, epidemiology, public health, economics, data science, or development/humanitarian evidence roles, including senior multi-country leadership responsibilities.
- Demonstrated ability to lead a research and evidence agenda or portfolio across multiple countries, sectors, stakeholders and evidence products.
- Proven technical expertise in quantitative and/or mixed-methods research using large household survey or programme datasets, including sampling, weighting, variance estimation, subgroup/equity analysis, trend or change analysis, and clear articulation of what claims evidence can and cannot support.
- Experience synthesising evidence across multiple data sources, including AIM/AIM+, programme monitoring, evaluations, operational research, grant/sponsorship evidence, external datasets and commissioned studies.
- Experience commissioning and overseeing external research studies, including research questions, TORs/RFPs, protocols, analysis plans, quality assurance, ethical review, data-use agreements, publication plans and dissemination plans.
- Demonstrated experience translating evidence for senior leaders, programme teams, donors, boards and external audiences, including technical writing for non-technical decision-makers.
- Proven ability to work across sectors such as health, nutrition, WASH, livelihoods, child protection, climate/resilience, fragile contexts, humanitarian programming, and faith and development, drawing on sector specialists where required.
- Experience building or managing partnerships with universities, research institutes, donors, foundations or external technical partners.
- Strong applied skills in statistical software and/or data pipelines such as R, Python, Stata, SPSS or equivalent; familiarity with business intelligence tools such as Power BI or equivalent.
- Proven experience leading virtual, matrixed and cross-cultural teams and influencing senior stakeholders without relying solely on direct line authority.
LANGUAGE REQUIREMENTS:
- Must be fluent in English.
TRAVEL AND/OR WORK ENVIRONMENT:
- The position requires ability and willingness to travel up to 15% of the time.
- Ability to work effectively in a global, virtual, matrixed environment across time zones.
PREFERRED EXPERIENCE, KNOWLEDGE AND/OR OTHER QUALIFICATIONS.
- PhD or doctoral-level research training, or equivalent record of senior applied research leadership, publication and commissioned research oversight.
- Track record of peer-reviewed publications, externally cited research, donor-facing evidence products, policy/influence products, public learning products or equivalent rigorous technical documentation.
- Experience with child wellbeing, public health, nutrition, WASH, livelihoods/resilience, child protection, faith and development, climate, or humanitarian research.
- Experience with longitudinal, ex-post, quasi-experimental, causal inference, econometric, psychometric, index-development, evidence synthesis, or implementation science methods.
- Experience with responsible data governance, data protection, research ethics, IRB processes, safeguarding, and use of personally identifiable or sensitive data.
- Experience securing or shaping research grants, foundation funding, university co-investment, Support Office co-investment, or publication partnerships.
- Working proficiency in a second WV operational language such as French, Spanish, Portuguese, or Arabic.
Compensation: For positions filled in the United States, the typical salary range for this role is $102,700 to $136,930 USD. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate's skills, qualifications, experience and geographic location.
- Lead applied research and evidence synthesis using child data from AIM/AIM+, programme monitoring, evaluations, operational research, commissioned studies and other evidence sources.
- Deliver the annual AIM/AIM+ insight narrative as a research/learning product, translating WVI’s Global Strategy - Our Promise, Phase 3 (OP3) and senior-leadership questions into answerable research questions, data stories and decision-use products.
- Commission and/or lead secondary analyses of the 400,000+ household AIM data set and other datasets to generate cross-country insights across child wellbeing, resilience, vulnerability, equity and integrated sector outcomes.
- Set interpretation standards for child-data research, including methods, uncertainty, claim boundaries, reproducibility and responsible use of sensitive data.
- Coordinate with Design Monitoring Evidence Accountability and Learning (DMEAL) and data governance on data availability, quality, extracts and analytical constraints.
- Translate the OP3 research agenda into a sequenced portfolio of studies across Integrated Child Wellbeing Pathways, Christian Faith/Spiritual Nurture/Child Flourishing, Climate Stress and Child Resilience, Long-Term Community Transformation, and Local-to-Global Systems Transformation.
- Commission, scope, lead and quality assure research studies, evidence syntheses, secondary analyses, mixed-methods, ex-post/longitudinal and quasi-experimental or comparative designs.
- Ensure research designs address cross-sector programming questions across health, nutrition, WASH, livelihoods, child protection, resilience, climate, faith and development, systems transformation, and humanitarian/nexus contexts.
- Develop or approve research questions, theories of change, protocols, TORs/RFPs, analysis plans, sampling approaches, ethics/IRB pathways, data-use agreements, publication plans, technical review processes and acceptance criteria.
- Coordinate with Field Office and Regional Office (FO/RO) teams, Support Offices, sector leads, Grants Acquisition and Management (GAM), Advocacy and External Engagement (A&EE), Disaster Management (DM), universities and external researchers so commissioned studies are rigorous, feasible, field-grounded and operationally usable.
- Strong applied skills in statistical software and/or data pipelines such as R, Python, Stata, SPSS or equivalent; familiarity with business intelligence tools such as Power BI or equivalent.
- Proven experience leading virtual, matrixed and cross-cultural teams and influencing senior stakeholders without relying solely on direct line authority.
- Master’s degree or equivalent in Statistics, Biostatistics, Epidemiology, Public Health, Data Science, Economics, Social Sciences, International Development, Evaluation, Implementation Science, or a related research-intensive discipline.
- Formal training in quantitative methods, research design, evaluation, data analysis, or equivalent professional experience.
- At least 12 years of progressive experience in applied research, evidence synthesis, impact evaluation, statistics/biostatistics, epidemiology, public health, economics, data science, or development/humanitarian evidence roles, including senior multi-country leadership responsibilities.
- Demonstrated ability to lead a research and evidence agenda or portfolio across multiple countries, sectors, stakeholders and evidence products.
- Proven technical expertise in quantitative and/or mixed-methods research using large household survey or programme datasets, including sampling, weighting, variance estimation, subgroup/equity analysis, trend or change analysis, and clear articulation of what claims evidence can and cannot support.
- Experience synthesising evidence across multiple data sources, including AIM/AIM+, programme monitoring, evaluations, operational research, grant/sponsorship evidence, external datasets and commissioned studies.
- Experience commissioning and overseeing external research studies, including research questions, TORs/RFPs, protocols, analysis plans, quality assurance, ethical review, data-use agreements, publication plans and dissemination plans.
- Demonstrated experience translating evidence for senior leaders, programme teams, donors, boards and external audiences, including technical writing for non-technical decision-makers.
- Proven ability to work across sectors such as health, nutrition, WASH, livelihoods, child protection, climate/resilience, fragile contexts, humanitarian programming, and faith and development, drawing on sector specialists where required.
- Experience building or managing partnerships with universities, research institutes, donors, foundations or external technical partners.
JOB-6abd0cff96802
Vacancy title:
Director, Strategic Research & Evidence
[Type: FULL_TIME, Industry: Nonprofit, and NGO, Category: Management, Business Operations, Social Services & Nonprofit, Science & Engineering]
Jobs at:
World Vision Kenya
Deadline of this Job:
Wednesday, October 14 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Wednesday, September 30 2026, Base Salary: Not Disclosed
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JOB DETAILS:
World Vision is an international Christian relief, development and advocacy organisation working in almost 100 countries world-wide to create lasting change in the lives of children, families and communities to overcome poverty and injustice.
Director, Strategic Research & Evidence
Job TypeFull Time
QualificationMBA/MSc/MA
Experience12 years
LocationNairobi
Job FieldProject and Program Management
JOB PURPOSE.
Lead World Vision's applied research, evidence generation and learning translation function, using child data across the partnership - Annual Impact Measurement (AIM/AIM+), programme monitoring, evaluations, operational research and commissioned studies - to produce decision-useful, externally credible evidence. The role commissions and leads applied research, evidence synthesis and university partnerships; translates findings into actionable learning and strategic insight; and ensures evidence informs programme quality, fundraising, policy influence and senior leadership decisions. Child Data Analytics & Insights retains ownership of analytics, dashboards, data products and analytical services.
KEY RESPONSIBILITES
Applied Research, Evidence Synthesis & Child Data Insights
- Lead applied research and evidence synthesis using child data from AIM/AIM+, programme monitoring, evaluations, operational research, commissioned studies and other evidence sources.
- Deliver the annual AIM/AIM+ insight narrative as a research/learning product, translating WVI’s Global Strategy - Our Promise, Phase 3 (OP3) and senior-leadership questions into answerable research questions, data stories and decision-use products.
- Commission and/or lead secondary analyses of the 400,000+ household AIM data set and other datasets to generate cross-country insights across child wellbeing, resilience, vulnerability, equity and integrated sector outcomes.
- Set interpretation standards for child-data research, including methods, uncertainty, claim boundaries, reproducibility and responsible use of sensitive data.
- Coordinate with Design Monitoring Evidence Accountability and Learning (DMEAL) and data governance on data availability, quality, extracts and analytical constraints.
OP3 Applied Research Portfolio & Commissioned Studies
- Translate the OP3 research agenda into a sequenced portfolio of studies across Integrated Child Wellbeing Pathways, Christian Faith/Spiritual Nurture/Child Flourishing, Climate Stress and Child Resilience, Long-Term Community Transformation, and Local-to-Global Systems Transformation.
- Commission, scope, lead and quality assure research studies, evidence syntheses, secondary analyses, mixed-methods, ex-post/longitudinal and quasi-experimental or comparative designs.
- Ensure research designs address cross-sector programming questions across health, nutrition, WASH, livelihoods, child protection, resilience, climate, faith and development, systems transformation, and humanitarian/nexus contexts.
- Develop or approve research questions, theories of change, protocols, TORs/RFPs, analysis plans, sampling approaches, ethics/IRB pathways, data-use agreements, publication plans, technical review processes and acceptance criteria.
- Coordinate with Field Office and Regional Office (FO/RO) teams, Support Offices, sector leads, Grants Acquisition and Management (GAM), Advocacy and External Engagement (A&EE), Disaster Management (DM), universities and external researchers so commissioned studies are rigorous, feasible, field-grounded and operationally usable.
REQUIRED EDUCATION, TRAINING, LICENSE, REGISTRATION, AND/OR CERTIFICATION.
- Master’s degree or equivalent in Statistics, Biostatistics, Epidemiology, Public Health, Data Science, Economics, Social Sciences, International Development, Evaluation, Implementation Science, or a related research-intensive discipline.
- Formal training in quantitative methods, research design, evaluation, data analysis, or equivalent professional experience.
REQUIRED PROFESSIONAL EXPERIENCE.
- At least 12 years of progressive experience in applied research, evidence synthesis, impact evaluation, statistics/biostatistics, epidemiology, public health, economics, data science, or development/humanitarian evidence roles, including senior multi-country leadership responsibilities.
- Demonstrated ability to lead a research and evidence agenda or portfolio across multiple countries, sectors, stakeholders and evidence products.
- Proven technical expertise in quantitative and/or mixed-methods research using large household survey or programme datasets, including sampling, weighting, variance estimation, subgroup/equity analysis, trend or change analysis, and clear articulation of what claims evidence can and cannot support.
- Experience synthesising evidence across multiple data sources, including AIM/AIM+, programme monitoring, evaluations, operational research, grant/sponsorship evidence, external datasets and commissioned studies.
- Experience commissioning and overseeing external research studies, including research questions, TORs/RFPs, protocols, analysis plans, quality assurance, ethical review, data-use agreements, publication plans and dissemination plans.
- Demonstrated experience translating evidence for senior leaders, programme teams, donors, boards and external audiences, including technical writing for non-technical decision-makers.
- Proven ability to work across sectors such as health, nutrition, WASH, livelihoods, child protection, climate/resilience, fragile contexts, humanitarian programming, and faith and development, drawing on sector specialists where required.
- Experience building or managing partnerships with universities, research institutes, donors, foundations or external technical partners.
- Strong applied skills in statistical software and/or data pipelines such as R, Python, Stata, SPSS or equivalent; familiarity with business intelligence tools such as Power BI or equivalent.
- Proven experience leading virtual, matrixed and cross-cultural teams and influencing senior stakeholders without relying solely on direct line authority.
LANGUAGE REQUIREMENTS:
- Must be fluent in English.
TRAVEL AND/OR WORK ENVIRONMENT:
- The position requires ability and willingness to travel up to 15% of the time.
- Ability to work effectively in a global, virtual, matrixed environment across time zones.
PREFERRED EXPERIENCE, KNOWLEDGE AND/OR OTHER QUALIFICATIONS.
- PhD or doctoral-level research training, or equivalent record of senior applied research leadership, publication and commissioned research oversight.
- Track record of peer-reviewed publications, externally cited research, donor-facing evidence products, policy/influence products, public learning products or equivalent rigorous technical documentation.
- Experience with child wellbeing, public health, nutrition, WASH, livelihoods/resilience, child protection, faith and development, climate, or humanitarian research.
- Experience with longitudinal, ex-post, quasi-experimental, causal inference, econometric, psychometric, index-development, evidence synthesis, or implementation science methods.
- Experience with responsible data governance, data protection, research ethics, IRB processes, safeguarding, and use of personally identifiable or sensitive data.
- Experience securing or shaping research grants, foundation funding, university co-investment, Support Office co-investment, or publication partnerships.
- Working proficiency in a second WV operational language such as French, Spanish, Portuguese, or Arabic.
Compensation: For positions filled in the United States, the typical salary range for this role is $102,700 to $136,930 USD. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate's skills, qualifications, experience and geographic location.
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
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