Data & Analytics Manager

What You’ll Do:

​​​​​​​Data Product Development & Management

• Lead the end-to-end development of dashboards, datasets, analytical tools, and pipelines that serve internal teams and government partners.
• Translate program needs into technical requirements and clear user stories.Maintain and prioritize a data product roadmap aligned with organizational strategy.Balance short-term outputs with long-term product vision, scalability, and reliability.

Lead Multiple Analytics Workstreams

• Oversee analytics delivery across PROMPTS, MENTORS, HSS, and other programs.
• Scope and plan deliverables, define milestones, and manage timelines.Apply agile project management principles to ensure high-quality and timely outputs.

Strengthen Data Infrastructure & Systems

• Identify gaps in data pipelines and infrastructure; propose and drive improvements.Strengthen data validation, documentation, and governance to ensure accuracy and usability.
• Collaborate closely with Product and Tech teams to streamline integrations and pipeline performance.

Insight Generation & Data Storytelling

• Lead strategic analyses to surface trends, risks, and opportunities across programs.Translate insights into decision-ready dashboards, memos, and presentations.
• Set visual analytics standards to ensure products are clear, intuitive, and impactful.

External Representation & Stakeholder Engagement

• Represent Jacaranda Health in data-related forums with county governments, partners, and donors.
• Contribute insights to proposals, publications, and donor reports.
• Support thought leadership in data-driven public health systems strengthening.

Team Leadership & Capacity Building

• Line-manage and mentor analysts, providing coaching on technical and professional development.
• Foster a culture of documentation, feedback, continuous improvement, and excellence.
• Lead quality assurance processes across data products and analyses.

Other Duties

• Undertake any other tasks assigned to support division and organizational objectives.

Requirements: 

• Bachelor’s or Master’s degree in Data Science, Statistics, Public Health, Information Systems, or related fields.
• At least 7+ years in data product management, analytics, or related fields, ideally within health tech, digital health, or the social impact sector.
• Proficiency in R, Python, STATA, SQL, and data visualization tools such as PowerBI or Tableau.
• Experince designiing dashboards with strong UI/UX and using data collection platforms like KoBoToolbox, ODK, and SurveyCTO.