Background information about the job or company (e.g., role context, company overview)

Jacaranda Health is a social enterprise and operates as a 501(c)3 in the US. Our mission is to transform maternal health care in East Africa and make pregnancy and childbirth safer for women and newborns. If you are interested in donating or partnering with Jacaranda Health, please visit our Donate page. Jacaranda’s staff is made up of professionals fr...

Responsibilities or duties

Lead Product Learning

Design and implement rapid user research, embedded within Product development lifecycles. This will involve using user data, conducting user research, product analytics, and experimentation to understand engagement, performance, user experience and health outcomes.

Translate evidence into concrete strategies to improve product offerings and implementation.

Lead Implementation Research & Learning

Design and lead implementation research studies that optimize the scale and impact of the organization's solutions These will be mixed methods approaches to understand how product offerings and interventions operate in the real world.

Generate decision-ready insights from implementation research - translate evidence into strategies that inform iteration, adaptation, and scale. Own the Research team’s departmental strategy.

Lead the design of research projects that generate actionable insights and fit a rapid Technology-oriented pace of learning.

Oversee data gathering, analysis, and interpretation, ensuring quality at all levels.

Translate research findings into clear, decision-ready recommendations that guide product iteration, experimentation, partnership, and scale strategies.

Lead and coach teams

Lead and mentor research teams to understand departmental strategy, deliver quality research outputs, and understand how to apply research learnings to product and solution implementation.

Partner with other internal departments, both technical and non-technical, to translate complex findings into action. Communicate complex findings with clarity and influence, translating evidence into compelling narratives for Product managers, Programs teams, senior leadership, donors, and government partners to inform decision-making.

Qualifications or requirements (e.g., education, skills)

Who you are:

What you bring

Master’s degree in public health, social sciences, epidemiology, implementation science, or a related field, with 5–8+ years of experience conducting applied or product/UX-focused research; or a Bachelor’s degree with equivalent hands-on research experience.

Demonstrated mid- to senior-level experience in product, implementation, or applied research, with strong use of qualitative and mixed-methods approaches to answer real-world product and program questions.

Proven ability to design and lead studies that inform product iteration, scale-up, sustainability, and impact within complex health or digital systems.

Strong experience translating research evidence into clear product, programmatic, or policy decisions, influencing roadmaps, feature prioritization, or implementation strategy.

Proficiency in at least one statistical or analytical software package (e.g. STATA or R), with the ability to interpret and communicate quantitative findings for product decision-making.

• Design and implement rapid user research, embedded within Product development lifecycles. This will involve using user data, conducting user research, product analytics, and experimentation to understand engagement, performance, user experience and health outcomes.
• Translate evidence into concrete strategies to improve product offerings and implementation.
• Design and lead implementation research studies that optimize the scale and impact of the organization's solutions These will be mixed methods approaches to understand how product offerings and interventions operate in the real world.
• Generate decision-ready insights from implementation research - translate evidence into strategies that inform iteration, adaptation, and scale. Own the Research team’s departmental strategy.
• Lead the design of research projects that generate actionable insights and fit a rapid Technology-oriented pace of learning.
• Oversee data gathering, analysis, and interpretation, ensuring quality at all levels.
• Translate research findings into clear, decision-ready recommendations that guide product iteration, experimentation, partnership, and scale strategies.
• Lead and mentor research teams to understand departmental strategy, deliver quality research outputs, and understand how to apply research learnings to product and solution implementation.
• Partner with other internal departments, both technical and non-technical, to translate complex findings into action. Communicate complex findings with clarity and influence, translating evidence into compelling narratives for Product managers, Programs teams, senior leadership, donors, and government partners to inform decision-making.

• Qualitative and mixed-methods research
• Quantitative analysis
• Statistical or analytical software package (e.g. STATA or R)
• Communication and influencing
• Mentoring and coaching

• Master’s degree in public health, social sciences, epidemiology, implementation science, or a related field, with 5–8+ years of experience conducting applied or product/UX-focused research; or a Bachelor’s degree with equivalent hands-on research experience.
• Demonstrated mid- to senior-level experience in product, implementation, or applied research, with strong use of qualitative and mixed-methods approaches to answer real-world product and program questions.
• Proven ability to design and lead studies that inform product iteration, scale-up, sustainability, and impact within complex health or digital systems.
• Strong experience translating research evidence into clear product, programmatic, or policy decisions, influencing roadmaps, feature prioritization, or implementation strategy.
• Proficiency in at least one statistical or analytical software package (e.g. STATA or R), with the ability to interpret and communicate quantitative findings for product decision-making.