Data Manager, , Department of Population Health at Aga Khan University Hospital

Job Summary

The Department of Population Health (DPH) at the Aga Khan University (AKU), Medical College East Africa, is a multidisciplinary academic and research unit engaged in teaching, research, policy engagement, and community service across Kenya and the wider region. In support of this mandate, AKU seeks to appoint a Data Manager to ensure the availability of high-quality, secure, and timely data across multiple research programmes and projects, including multi-site studies. The position is based in Nairobi, Kenya.

Responsibilities

• Lead the design, implementation, and maintenance of department-wide data management systems.
• Develop and manage electronic data capture platforms (e.g. REDCap) and SQL-based databases.
• Establish and maintain secure cloud-based data infrastructure using platforms such as Apache, Microsoft Azure, and AWS.
• Develop and implement data management SOPs covering the full data lifecycle.
• Implement data quality assurance frameworks, routine audits, and reporting.
• Support data availability and analytics by preparing analysis-ready datasets.
• Provide training, mentoring, and technical support to research and data teams.
• Ensure data security, governance, and compliance with ethical and regulatory requirements.
• Coordinate internal and external data governance, reporting, and secure data sharing.

Requirements & Experience

• Master’s degree in Computer Science, Information Technology, Data Science, Medical Informatics, or a related field, with a Bachelor’s degree in a relevant discipline.
• Formal training and experience in REDCap, SQL-based databases, and cloud platforms (Azure, AWS).
• At least five (5) years of progressive experience in data management, preferably in health or population research.
• Demonstrated experience in database development, data quality assurance, data security, and regulatory compliance.
• Experience supporting multi-site or multi-project research programmes is highly desirable.

Personal Characteristics & Behaviours

• Strong attention to detail and commitment to data quality and integrity.
• Excellent analytical, organisational, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to work in multidisciplinary teams.
• Ability to work independently while managing competing priorities.