About this role
Data Science & AI Manager
This is a hands-on technical leadership role for a data professional who combines strong technical expertise with analytical thinking, sound judgement, and the ability to translate complex data into actionable insights.
Responsibilities: Lead data science and AI initiatives, including predictive analytics and AI-enabled solutions. Build and oversee data pipelines, models, and analytics across complex, multi-source datasets. Conduct statistical and machine learning analyses to generate actionable insights. Develop decision-focused dashboards using Power BI or Tableau. Lead, mentor, and develop data scientists and data engineers. Partner with programme teams to translate data into practical recommendations and decisions. Provide technical input into proposals, partnerships, and data-driven solutions. Support responsible AI, data governance, data quality, and security standards. Present technical findings clearly to senior management, clients, funders, and other stakeholders.
Requirements: Six to eight years' experience in Data Science, Data Engineering, AI/ML, or Applied Analytics. Advanced SQL and strong Python skills. Proven experience in machine learning, statistical analysis, and predictive modelling. Proficiency in Power BI or Tableau and advanced Excel. Working knowledge of Microsoft Azure or AWS. Strong analytical and problem-solving skills, with the ability to independently interrogate and interpret data. Experience leading or mentoring technical teams. Excellent communication skills, with the ability to translate technical insights for non-technical audiences. A postgraduate qualification in Data Science, Computer Science, Statistics, or a related field is preferred. Experience in digital health, public health, development, responsible AI, health systems data, or emerging market is an added advantage