Supply Chain Data Management Officer at Management Sciences for Health (MSH)

The Management Sciences for Health (MSH), a global health nonprofit organization, uses proven approaches developed over 40 years to help leaders, health managers, and communities in developing nations build stronger health systems for greater health impact. We work to save lives by closing the gap between knowledge and action in public health.

We are recruiting to fill the position below:

Job Title: Supply Chain Data Management Officer

Job Requisition ID: R4967
Location: Kwara
Job type: Full-time

Overview

• The Supply Chain Data Management Officer will work in close collaboration with the state-based SCMS Specialist, project partners and the State LMCU on all aspects of malaria health products data collection, validation and reporting for the Global Fund Grant supported by MSH at the state level.
• S/he will assist the Specialist in ensuring that MHP LMIS Data Management functions efficiently, providing oversight of all MHP LMIS data management activities in supported health facilities in the state.
• S/he will assist with logistics processes in MSH Data management-related activities.
• Additionally, s/he will assist the SCMS Specialist in ensuring that all technical activities under the project are implemented in a timely and effective manner.
• S/he assists the specialist in providing oversight to LGA-level routine activities. E.g. LGA data validation meetings, data entry, supply chain data collection, training, and so on.

Tasks and Responsibilities

• Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data by eliciting and gathering requirements from technical teams within the organization, and organizing, analyzing, translating, and simplifying the requirements.
• Develop management procedures to ensure the adequacy, accuracy, and legitimacy of data.
• Take the lead in developing data capturing tools to be used on mobile devices, field-testing, and data collection processes.
• Design data collection, storage, analysis, reporting, and security procedures.
• Support the maintenance of LMIS database that includes sites covered, distances, rates, GPS points, and other key data points.
• Responsible for developing mobile-based data collection instruments, develop and maintain database, develop data abstraction algorithm, ensure data abstracted and collected is uploaded, and perform preliminary data cleaning.
• Design, implement, and track queries; coordinate with other technical staff to resolve data problems.
• Program, test, maintain and update data entry applications for manual data entry or electronic data capture.
• Collaborate and coordinate with technical teams to determine requirements for data warehousing, reporting, and analytical solutions.
•  Design and manage user-friendly dashboards, virtual maps, and interactive reporting tools to increase visibility and improve data-driven decision-making for project activities.
• Manage analytics dashboards and databases to develop and refine KPIs to measure LMIS performance and support the logistics team to ensure that performance management of LMIS is driven by data and evidence.
•  Provide support in managing security mechanisms and data access governance. Create and enforce guidelines for effective data management. Ensure digital databases and archives are protected from security breaches and data loss.
• Any other task assigned by the supervisor.

Requirements

• Candidates should possess a minimum of a Bachelor’s Degree in Pharmacy
• Minimum of two years’ experience in malaria project implementation, public health or health systems strengthening is required.
• Proven capacity to support and strengthen state governments’ supply chain sustainability structures such as LMCUs and LLMCUs.
• Proven experience in LMIS data validation and entry; data analytics, particularly, supply chain data.
• Proven experience using the national supply chain data management platform -the NHLMIS.
• Strong numeric skills and attention to detail and quality.                                            
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Packages- Excel, Word, PowerPoint.
• Excellent writing and presentation skills in English are essential.
• Training development and facilitation skills.
• Data Management skills.

Application Closing Date
4th January, 2026.