About the Job
The MEL & Digital Health Systems Manager will spearhead the design, development, and enhancement of IC RHK’s data ecosystem, ensuring it delivers high-quality program monitoring, research, and organizational learning. Positioned at the nexus of monitoring and evaluation, digital health, and data engineering, this role will establish robust, scalable, and unified systems that facilitate seamless data collection, real-time analytics, and evidence-driven decision-making across all initiatives. By driving this transformation, the position is pivotal in evolving IC RHK’s data infrastructure from disjointed, project-specific frameworks into a cohesive, interoperable, and forward-looking architecture.
Oversee and execute a wide range of organizational duties, ensuring seamless operations and adherence to established protocols. Develop, implement, and monitor strategies to achieve departmental objectives, fostering efficiency and productivity. Collaborate with cross-functional teams to align projects with company goals while maintaining high standards of performance. Prepare comprehensive reports, analyze data, and present actionable insights to senior leadership to support informed decision-making. Maintain compliance with industry regulations and internal policies, mitigating risks and promoting accountability. Additionally, lead initiatives to enhance team capabilities through training, mentorship, and resource allocation, driving continuous improvement.
MEL Systems Design & Management involves the strategic planning, development, and oversight of Measurement, Evaluation, and Learning systems tailored to organizational needs. This role requires expertise in designing frameworks that ensure data accuracy, relevance, and usability for decision-making processes. Professionals in this field are responsible for integrating diverse data sources, implementing analytical tools, and maintaining robust systems to track performance metrics. They must collaborate with cross-functional teams to align systems with business objectives while ensuring compliance with industry standards and best practices. Additionally, they play a key role in training stakeholders on system usage and interpreting data insights to drive continuous improvement.
Drive the design, development, and iterative enhancement of digital Monitoring, Evaluation, and Learning (MEL) systems across programs and research initiatives.
Develop clear, actionable system specifications and intuitive data solutions that directly support program and research objectives.
Responsible for managing the setup and implementation of digital data collection solutions, including mobile-based platforms and electronic registries.
Ensure that systems are designed to scale efficiently, adapt seamlessly to changing program requirements, and remain fully aligned with evolving operational demands.
We are seeking a skilled professional to design and implement robust data architecture and infrastructure solutions. The ideal candidate will develop scalable frameworks to support data storage, processing, and analytics while ensuring integration with existing systems. Responsibilities include establishing data governance policies, optimizing performance, and collaborating with cross-functional teams to align technical solutions with business objectives. Requirements encompass expertise in database design, cloud platforms, and big data technologies, along with strong analytical and problem-solving skills to address complex data challenges effectively.
Develop and sustain a cohesive data architecture framework that integrates various data sources, such as program, research, and administrative systems.
Design and oversee centralized databases and data warehouses to facilitate streamlined data storage, retrieval, and analytical processes.
Design and implement robust data pipelines and automated workflows to streamline data ingestion, ensure rigorous cleaning and validation, and generate accurate reporting outputs efficiently.
Guarantee the highest levels of system performance, dependability, and comprehensive documentation of all data structures and operational processes.
Data Integration and Interoperability specialists focus on ensuring seamless data flow and compatibility across systems. They design, implement, and maintain frameworks to enable smooth data exchange between diverse platforms and applications. Responsibilities include developing integration solutions, monitoring performance, troubleshooting issues, and ensuring compliance with industry standards. Requirements typically involve expertise in ETL processes, APIs, middleware, and data governance, along with proficiency in programming languages such as Python or Java. Strong problem-solving skills and the ability to collaborate with cross-functional teams are essential for success in this role.
Facilitate seamless integration and functionality across diverse platforms and systems, including MEL tools, national health information systems, and research databases.
Design and deploy APIs as well as integration protocols wherever necessary.
Assist in ensuring compliance with national and international digital health standards and frameworks.
Streamline communication and data sharing between internal departments and external collaborators to ensure smooth, efficient workflows.
Skilled in analyzing data, creating visual representations, and leveraging insights for informed decision-making are essential for this role. Proficiency in data analytics tools and techniques, along with the ability to transform complex datasets into clear and compelling visualizations, is required. Strong analytical skills and attention to detail are necessary to derive meaningful insights from data. Experience with visualization software and platforms is a must. The position involves interpreting data trends, identifying patterns, and presenting findings to stakeholders to support strategic initiatives.
Develop, implement, and oversee interactive dashboards, data visualization tools, and automated reporting systems tailored for both internal stakeholders and external clients.
Support the execution of advanced analytics by maintaining data in a structured format and ensuring its accessibility for statistical analysis and modeling initiatives.
Work in close partnership with the Statistician/Epidemiologist to ensure the delivery of rigorous, high-quality data analysis.
Foster a culture of data-driven decision-making by implementing systems that deliver practical, intuitive insights.
We are seeking a professional to oversee data quality, ensure robust security measures, and enforce governance standards. The ideal candidate will implement and maintain policies that uphold data integrity, confidentiality, and compliance with relevant regulations. Responsibilities include monitoring data accuracy, identifying and mitigating risks, and ensuring alignment with organizational and industry-specific requirements. Strong analytical skills, attention to detail, and a deep understanding of data governance frameworks are essential. Experience in data security protocols, regulatory compliance, and process optimization is highly desirable.
Implement robust data quality assurance frameworks, encompassing validation rules, periodic audits, and systematic data cleansing procedures, to ensure accuracy and reliability.
Design and execute data governance frameworks, establishing comprehensive data standards, robust access controls, and precise user permissions to ensure data integrity and security across the organization.
Ensure adherence to data protection regulations, ethical guidelines, and established organizational policies.
Enhance data backup and recovery protocols while fortifying cybersecurity frameworks to ensure robust protection against potential threats.
We deliver specialized capacity-building initiatives and technical support services to enhance organizational capabilities and drive sustainable growth. Our offerings include tailored training programs, strategic advisory, and hands-on assistance to address specific operational, technical, and developmental challenges. Qualified candidates must demonstrate expertise in designing and implementing capacity-building frameworks, along with a proven track record in providing actionable technical guidance. Responsibilities involve collaborating with stakeholders to assess needs, develop customized solutions, and measure impact through data-driven evaluations. Proficiency in relevant tools, methodologies, and industry best practices is essential for success in this role.
Deliver continuous technical assistance to program and research teams in the effective utilization of Monitoring, Evaluation, and Learning (MEL) systems alongside digital tools.
Craft comprehensive user guides, standard operating procedures (SOPs), and training materials to ensure clarity and usability.
Facilitate structured training programs designed to strengthen team capabilities in data collection, management, and utilization.
Act as the primary internal resource for resolving system-related problems and spearheading initiatives aimed at ongoing enhancement.
We seek a dynamic professional to spearhead innovation and digital transformation initiatives, driving the evolution of our technological landscape. Candidates must possess a proven track record of implementing cutting-edge solutions, optimizing operational efficiency, and fostering a culture of continuous improvement. The role demands expertise in leveraging emerging technologies, such as AI, cloud computing, and data analytics, to enhance business performance and customer experience. Responsibilities include developing strategic roadmaps, leading cross-functional teams, and ensuring alignment with organizational goals. Strong leadership, problem-solving skills, and the ability to adapt to rapidly changing environments are essential.
Evaluate and implement cutting-edge technologies and solutions to optimize data systems and operational workflows.
Support the implementation of digital health solutions and cutting-edge technologies, such as cloud-based platforms, mobile data systems, and AI-driven analytics, where applicable.
Drive the organization’s digital transformation efforts and contribute to the development and implementation of the long-term data strategy.
To stay informed about international advancements in Monitoring, Evaluation, and Learning (MEL) systems, data engineering, and digital health.
Personal Attributes
Additional qualifications such as specialized training or certifications in digital health, health information systems, enterprise systems, or data systems would be highly beneficial.
With a minimum of five to eight years of progressively responsible experience, candidates should possess a strong background in Monitoring, Evaluation, and Learning (MEL) systems, database design, digital health systems, or data engineering, specifically within development or healthcare sectors.
Seasoned professionals with a proven track record in developing and deploying comprehensive data systems and architectures from inception to completion are encouraged to apply.
Proficiency in multi-donor initiatives and intricate data systems, particularly within Sexual and Reproductive Health, is strongly preferred.
Exhibits a strong aptitude for simplifying complex technical ideas into clear, actionable solutions that resonate with audiences lacking specialized knowledge.
Qualifications
BA/BSc/HND
Experience Required
5 - 8 years
