About the Job
The MEL & Digital Health Systems Manager is responsible for the design, development, and optimization of ICRHK's data ecosystem to support high-quality programme monitoring, research, and organizational learning. This role sits at the intersection of monitoring and evaluation, digital health, and data engineering. It will ensure that ICRHK has robust, scalable, and integrated systems that enable efficient data collection, real-time analytics, and evidence-based decision-making across all programmes. The role is critical to transitioning the organization from fragmented, project-based data systems to a cohesive, interoperable, and future-ready data architecture.
Duties & Responsibilities
MEL Systems Design & Management
Lead the design, development, and continuous improvement of digital MEL systems across programmes and research projects
Translate programme and research requirements into functional system specifications and user-friendly data solutions
Oversee configuration and deployment of digital data collection tools (e.g., mobile-based platforms, electronic registries)
Ensure systems are scalable, adaptable, and aligned with evolving programme needs
Data Architecture & Infrastructure Development
Design and maintain integrated data architecture that connects multiple data sources, including programme, research, and administrative systems
Develop and manage centralized databases and data warehouses to support efficient storage, retrieval, and analysis of data
Establish data pipelines and workflows to automate data ingestion, cleaning, validation, and reporting processes
Ensure optimal system performance, reliability, and documentation of data structures and processes
Data Integration & Interoperability
Ensure interoperability between different platforms and systems (e.g., MEL tools, national health information systems, research databases)
Develop and implement APIs and integration protocols where required
Support alignment with national and global digital health standards and frameworks
Facilitate seamless data exchange across internal teams and external stakeholders
Data Analytics, Visualization & Use
Lead the development of interactive dashboards, data visualization tools, and automated reporting systems for internal and external use
Support advanced analytics by ensuring data is structured and accessible for statistical analysis and modelling
Collaborate closely with the Statistician/Epidemiologist to enable high-quality data analysis
Promote a culture of data use by ensuring systems generate actionable, user-friendly insights
Data Quality, Security & Governance
Establish and enforce data quality assurance mechanisms, including validation rules, routine audits, and data cleaning protocols
Develop and implement data governance frameworks, including data standards, access controls, and user permissions
Ensure compliance with data protection regulations, ethical standards, and organizational policies
Strengthen data backup, recovery, and cybersecurity measures
Capacity Building & Technical Support
Provide ongoing technical support to programme and research teams in the use of MEL systems and digital tools
Develop user guides, standard operating procedures (SOPs), and training materials
Conduct training sessions to enhance staff capacity in data collection, management, and use
Serve as the internal focal point for troubleshooting system issues and driving continuous improvement
Innovation & Digital Transformation
Identify and introduce innovative technologies and tools to enhance data systems and workflows
Support the adoption of digital health solutions and emerging technologies (e.g., cloud platforms, mobile data systems, AI-enabled analytics where appropriate)
Contribute to organizational digital transformation initiatives and long-term data strategy
Keep abreast of global best practices in MEL systems, data engineering, and digital health
Personal Attributes
Additional training or certification in digital health, health information system, enterprise system or data system is an added advantage
Minimum of 5 - 8 years of progressive experience in MEL systems, database design, digital health systems, or data engineering within the development or health sector
Demonstrated experience designing and implementing end-to-end data systems and architectures
Experience working with multi-donor programmes and complex data environments especially in Sexual and Reproductive Health is highly desirable
Proven ability to translate technical concepts into practical solutions for non-technical users