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.
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.
GK
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