About the Job
The MEL & Digital Health Systems Manager oversees the design, development, and enhancement of IC RHK’s data ecosystem, ensuring it effectively supports high-quality program monitoring, research, and organizational learning. Positioned at the nexus of monitoring and evaluation, digital health, and data engineering, this role guarantees that IC RHK maintains robust, scalable, and interconnected systems capable of streamlining data collection, enabling real-time analytics, and informing evidence-based decisions across all programs. By bridging fragmented, project-specific data systems, the incumbent will drive the organization toward a unified, interoperable, and forward-thinking data infrastructure.
We are seeking a highly organized professional to oversee daily operations and ensure seamless workflow efficiency. The ideal candidate will coordinate with cross-functional teams, manage project timelines, and maintain meticulous records of all activities. Responsibilities include implementing process improvements, resolving operational challenges, and ensuring strict adherence to company policies and regulatory standards. Strong analytical and problem-solving skills are essential, along with the ability to multitask in a fast-paced environment. Proficiency in relevant software and tools, as well as excellent communication and leadership capabilities, are required to drive productivity and team success.
MEL Systems Design & Management involves the strategic planning and oversight of Maintenance, Engineering, and Logistics systems to ensure operational efficiency and reliability. This role requires expertise in system architecture, lifecycle management, and adherence to industry regulations. Responsibilities include designing robust maintenance frameworks, managing engineering projects, and optimizing logistics processes. Candidates must possess a strong technical background, problem-solving skills, and the ability to collaborate with cross-functional teams. Proficiency in relevant software tools and methodologies is essential for successful execution of duties.
Spearhead the design, implementation, and ongoing enhancement of digital Monitoring, Evaluation, and Learning (MEL) systems spanning multiple programs and research initiatives.
Transform program and research needs into clear, actionable system specifications and intuitive data solutions. Develop functional requirements that bridge the gap between technical implementation and user accessibility, ensuring seamless integration and efficient data management.
Responsible for managing the configuration and deployment of digital data collection tools, including mobile-based platforms and electronic registries.
Ensure 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 spearhead the design and implementation of robust data architecture and infrastructure solutions. The ideal candidate will be responsible for establishing scalable, secure, and efficient data frameworks that support organizational objectives while ensuring compliance with industry standards and best practices. This role involves collaborating with cross-functional teams to assess data requirements, develop data models, and optimize infrastructure for performance and reliability. Additionally, the position demands expertise in cloud platforms, data warehousing, and modern data integration techniques to enable seamless data flow and analytics capabilities. Strong problem-solving abilities, technical proficiency in data technologies, and a strategic mindset are essential for success in this role.
Develop and oversee a cohesive data architecture framework that seamlessly integrates diverse data sources, such as program, research, and administrative systems, to ensure unified data flow and accessibility.
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 the ingestion, cleansing, validation, and reporting of data.
To maintain peak system performance, reliability, and thorough documentation of data structures and processes.
Responsible for establishing seamless data integration and ensuring interoperability across systems, the incumbent will streamline information flow between disparate platforms. This role demands proficiency in data mapping, transformation techniques, and adherence to industry standards to facilitate accurate data exchange. Key responsibilities include designing, implementing, and maintaining integration solutions that enhance operational efficiency and data accuracy. The ideal candidate will possess strong analytical skills, experience with ETL processes, and a deep understanding of APIs, databases, and data governance frameworks. Collaboration with cross-functional teams is essential to align integration strategies with business objectives and technical requirements.
Ensure seamless interoperability among diverse platforms and systems, including MEL tools, national health information systems, and research databases.
Design, construct, and deploy APIs and integration protocols as needed to facilitate seamless system connectivity and functionality.
Ensure compliance with nationally and internationally recognized digital health standards and frameworks.
Promote smooth and efficient data sharing among internal teams and external stakeholders to ensure cohesive collaboration and transparency.
Skilled in analyzing, interpreting, and visualizing data to extract meaningful insights and support decision-making processes. Proficient in developing dashboards and reports to communicate findings effectively to stakeholders. Experienced in utilizing tools such as Tableau, Power BI, or similar platforms to create compelling data visualizations. Capable of transforming raw data into actionable recommendations to drive business strategies. Strong analytical skills with a keen eye for identifying trends, patterns, and anomalies in complex datasets. Adept at collaborating with cross-functional teams to understand data requirements and deliver solutions that align with organizational goals.
Spearhead the creation of dynamic dashboards, advanced data visualization solutions, and automated reporting frameworks tailored for both internal stakeholders and external clients.
Facilitate sophisticated analytics initiatives by maintaining well-organized data structures and ensuring seamless accessibility for statistical analysis and modeling efforts.
Work closely alongside the Statistician/Epidemiologist to facilitate precise and insightful data analysis.
Foster a data-driven organizational culture by guaranteeing that systems produce clear, practical insights tailored to user needs.
Ensuring the integrity, confidentiality, and regulatory compliance of data requires meticulous oversight of quality standards, security protocols, and governance frameworks. This role demands a thorough understanding of data management principles, risk mitigation strategies, and adherence to industry best practices to safeguard sensitive information while maintaining operational efficiency. Candidates must demonstrate expertise in identifying data discrepancies, implementing robust security measures, and aligning processes with organizational policies and legal requirements.
Develop and implement robust data quality assurance frameworks encompassing validation rules, periodic audits, and systematic data cleaning procedures.
Design and deploy comprehensive data governance frameworks, encompassing defined data standards, robust access controls, and precise user permission protocols.
Ensure adherence to data protection regulations, ethical guidelines, and established organizational policies.
Enhance data backup protocols, recovery processes, and cybersecurity frameworks to ensure robust protection and resilience against potential threats or disruptions.
We provide capacity building initiatives and specialized technical support to enhance organizational effectiveness and foster sustainable growth.
Offer continuous technical assistance to program and research teams in their utilization of MEL systems and digital tools, ensuring seamless integration and effective application.
Create comprehensive user guides, standard operating procedures (SOPs), and training materials to support end-users and operational teams.
Deliver structured training programs designed to bolster staff proficiency in data collection, management, and utilization practices.
Act as the primary internal resource for resolving system-related problems and spearheading ongoing enhancements.
Driving forward innovation and leading digital transformation initiatives are central to this role. The position requires a strategic vision to identify and implement cutting-edge technologies that enhance operational efficiency and foster growth. Key responsibilities include spearheading digital projects, optimizing processes through technology adoption, and ensuring seamless integration across systems. Candidates must possess a proven track record of managing complex digital transformations, strong leadership skills, and expertise in emerging technologies. Collaboration with cross-functional teams and stakeholders is essential to align technological advancements with organizational goals. A deep understanding of industry trends and a commitment to continuous improvement are vital for success in this dynamic environment.
Explore and integrate cutting-edge technologies and solutions to optimize data infrastructure and operational processes.
Assist in the implementation and integration of digital health solutions and innovative technologies, including cloud platforms, mobile data systems, and AI-driven analytics as applicable.
Play a key role in advancing the company’s digital transformation efforts and shaping its long-term data strategy.
Stay informed about cutting-edge methodologies and advancements in Monitoring, Evaluation, and Learning (MEL) systems, data engineering principles, and digital health solutions worldwide.
Personal Attributes
Proficiency in digital health, health information systems, enterprise systems, or data systems, complemented by additional training or certification, is highly beneficial.
A minimum of five to eight years of relevant experience is required in Monitoring, Evaluation, and Learning (MEL) systems, database design, digital health systems, or data engineering, preferably within development or healthcare sectors.
Experienced in developing and deploying comprehensive data systems and architectures from inception to completion.
Proficiency in managing multi-donor initiatives and navigating intricate data systems—particularly within the realm of Sexual and Reproductive Health—is strongly preferred.
Demonstrated capacity to simplify complex technical information into accessible, actionable insights tailored for audiences lacking specialized knowledge.
Qualifications
BA/BSc/HND
Experience Required
5 - 8 years
