About the MNH-ASSIST Project
The Maternal and Newborn Health Accelerated Scale-Up of Sustainable Supply Chain Interventions and Systems Transformation (MPH-ASSIST) project is designed to enhance the consistent availability, accessibility, utilization, monitoring, and reporting of Maternal and Newborn Health (MNH) bundle commodities within supported health facilities. This objective will be pursued through strategic partnerships involving multiple Ministries, Departments, and Agencies (MDS) such as the Smog, Spicas, DMA/CMS, health facilities, and collaborating organizations including FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI, among others. The project’s long-term goals encompass optimizing last-mile delivery (LMD) of MNH commodities to facilities, strengthening state-level capabilities in planning, financing, and implementing LMD operations, modernizing state logistics management information systems (LUIS) to enable real-time logistics data visibility, implementing consumption-driven forecasting and quantification of MNH bundle commodities, and fortifying Drug Revolving Fund (DRF) programs to ensure uninterrupted replenishment of essential MNH supplies.
To further enhance accessibility, the project endeavors to provide cost-effective bundled Maternal, Newborn, and Child Health (MNCH) services to beneficiaries by utilizing established government and donor-funded financing frameworks designed to mitigate financial burdens on women and their families. This approach encompasses national and state-level health insurance schemes, complimentary or subsidized MNCH services integrated into initiatives such as BHCPF 2.0 and the HOPE-PHC project, as well as state-specific free MNCH programs where applicable.
Role Summary
The Senior MEL Officer will lead strategically and operationally, overseeing the design, execution, and ongoing enhancement of the project’s Monitoring, Evaluation, and Learning framework.
The incumbent will serve as a pivotal liaison, facilitating seamless integration of data systems—including NHL MIS and program dashboards—with strategic programmatic decision-making at the central level and across the five designated focus states.
The position will provide direct supervision for the MEL Analyst and State Logistics Data Analyst, as well as indirect oversight of State Technical Assistants.
The position will be responsible for ensuring that all specified objectives and deliverables are consistently met, while maintaining adherence to established policies, procedures, and quality standards. It will require verifying compliance with regulatory requirements, conducting thorough reviews, and implementing corrective actions as needed. The role will also oversee performance metrics, track progress against benchmarks, and provide timely reporting to stakeholders. Additionally, the incumbent will collaborate with cross-functional teams to align efforts with organizational goals and foster continuous improvement initiatives across all operational areas.
High-quality, timely, and reliable data from eLMIS, program dashboards and field implementation reports
Diligently monitoring progress to ensure alignment with the established project results framework and predetermined targets.
To develop evidence that guides program design, informs policy engagement, and supports scaling efforts.
Continuous learning and adaptive program management are essential for maintaining relevance and effectiveness in evolving professional landscapes. They necessitate staying abreast of industry trends, refining methodologies, and adjusting strategies in response to feedback and changing circumstances. This approach fosters innovation, enhances decision-making, and ensures sustained progress toward organizational objectives.
Offer expert technical support to the SODA and STA’s regarding data utilization and reporting procedures.
Collaborate effectively with partner Monitoring, Evaluation, and Learning (MEL) teams—including C4SD, FIELD Intelligence, and service delivery partners—to ensure seamless alignment and execution of initiatives.
Develop compelling performance visualization materials, including decks and supplementary resources, for donor updates and government stakeholder engagements.
Oversee and execute critical duties essential to the role, including but not limited to managing project timelines, coordinating team efforts, and ensuring alignment with organizational objectives. Responsible for analyzing data to drive informed decision-making, overseeing budget allocations, and maintaining compliance with industry regulations. Accountable for fostering collaboration across departments, mentoring junior staff, and implementing process improvements to enhance operational efficiency. Requires strong leadership skills, adaptability in dynamic environments, and a commitment to delivering measurable results while upholding the highest standards of professionalism and integrity.
Strategic MEL Leadership involves spearheading Monitoring, Evaluation, and Learning (MEL) frameworks that drive organizational effectiveness and decision-making. This role requires expertise in designing and implementing robust MEL systems, ensuring data-driven insights align with strategic objectives. Responsibilities include overseeing performance tracking, impact assessments, and adaptive learning initiatives to enhance program effectiveness. Proficiency in data analysis tools, stakeholder engagement, and clear reporting is essential. Collaboration with cross-functional teams ensures MEL strategies integrate seamlessly with broader organizational goals.
Spearhead the creation and continuous enhancement of the project’s Monitoring, Evaluation, and Learning (MEL) framework, its theory of change, and the results’ measurement strategy.
Ensure Maintenance, Evaluation, and Learning (MEL) systems comply with donor specifications and align seamlessly with national reporting frameworks.
The professional must facilitate seamless coordination among data flows in supply chain management, financing, and service delivery to ensure cohesive operational alignment.
Design and implement robust system architectures and data frameworks to support scalable, efficient, and secure operations. Establish comprehensive data models, storage solutions, and integration strategies, ensuring alignment with business objectives and technological advancements. Collaborate with cross-functional teams to define requirements, optimize performance, and mitigate potential risks while adhering to industry best practices and compliance standards.
Lead the strategic design, development, and implementation of comprehensive, integrated data systems from inception to full deployment. Oversee the creation of end-to-end solutions that encompass data architecture, infrastructure, and processing frameworks to ensure seamless functionality and scalability. Drive the integration of these systems with existing platforms while maintaining high standards of efficiency, security, and performance.
Data collection tools encompass both digital and traditional paper-based formats, utilized to systematically gather and record information for analysis and reporting purposes. These tools facilitate the accurate and efficient capture of data, ensuring its integrity and usability for various organizational needs.
Develop and maintain tracking dashboards to monitor key program indicators, ensuring accurate, real-time data visualization and accessibility for stakeholders. Collaborate with cross-functional teams to collect, analyze, and interpret performance metrics, translating complex data into actionable insights. Design intuitive dashboard layouts that highlight trends, benchmarks, and anomalies while adhering to best practices in data presentation and usability. Regularly update visualizations to reflect evolving program goals, ensuring alignment with strategic objectives and reporting requirements. Implement robust data validation processes to maintain integrity and reliability of displayed metrics.
Real-time dashboards and performance tracking systems
Ensure seamless integration with NHLMIS / eLMIS
Oversee data management processes and uphold stringent quality assurance standards to ensure data accuracy, consistency, and reliability throughout its lifecycle. Implement and maintain robust data governance frameworks, validate data sources, and conduct regular audits to identify discrepancies or anomalies. Collaborate with cross-functional teams to establish data quality metrics, enforce compliance with regulatory requirements, and optimize data integrity across systems. Additionally, document procedures, resolve data-related issues promptly, and recommend enhancements to improve overall data quality and operational efficiency.
Develop and enforce comprehensive data governance protocols to ensure consistent compliance at every organizational level.
Conduct thorough Data Quality Assessments (Dias) and execute validation exercises to ensure accuracy and reliability.
Perform regular unannounced inspections and follow-up visits to ensure compliance and accuracy.
Verify the alignment and consistency of data across multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
You will be responsible for tracking and analyzing performance metrics, compiling comprehensive reports, and ensuring data accuracy to support strategic decision-making. This role involves developing monitoring frameworks, identifying trends, and presenting insights to stakeholders to drive operational improvements. Proficiency in data visualization tools and reporting software is essential, along with strong analytical skills to interpret complex datasets. Experience in performance management systems and a keen attention to detail are required to deliver actionable recommendations.
Track and monitor essential program metrics to assess performance and progress effectively. Analyze critical indicators to derive insights and identify trends that inform strategic decision-making. This role requires a meticulous approach to data evaluation, ensuring accuracy and reliability in reporting outcomes.
Monitoring commodity stock levels, analyzing consumption trends, and evaluating stock out rates form a critical part of the role. This involves tracking inventory data to ensure adequate supply, identifying usage patterns to optimize procurement, and assessing instances of stock shortages to implement preventive measures.
Achieving optimal order fill rates, consistently maintaining high facility reporting rates, and ensuring prompt order turnaround times are critical performance metrics for this role.
The DRF budgeting and replenishment performance is evaluated against established targets to ensure alignment with organizational objectives and operational efficiency.
NHL MIS’s deployment, utilization, reporting completeness, and timeliness must be consistently monitored and maintained across all states to ensure accurate and up-to-date data management.
Compose comprehensive monthly, quarterly, and annual reports on a consistent schedule.
Prepare comprehensive donor updates, reports, technical briefs, and executive dashboards to facilitate informed leadership decision-making.
Learning, Adaptation, and Knowledge Management entails fostering a culture of continuous improvement through the systematic collection, analysis, and dissemination of insights and best practices. This role demands a proactive approach to identifying emerging trends, capturing valuable lessons from experiences, and ensuring that relevant knowledge is effectively shared across teams to drive informed decision-making and operational excellence.
Conduct quarterly data review and learning sessions in collaboration with technical partners, specifically FIELD and C4SD.
Develop practical insights to inform and drive modifications to programs, advocate for policy changes, and optimize resource distribution.
Capture and share key insights, proven strategies, best practices, and impactful case studies to foster organizational growth and continuous improvement.
Evaluation & Research:
Lead and coordinate:
Baseline, interim, and final evaluations are conducted to measure progress and outcomes throughout the project lifecycle. These structured assessments provide critical data to assess initial conditions, track developmental changes, and evaluate the overall effectiveness of interventions. Comprehensive reports are generated after each phase to inform decision-making and enhance strategic adjustments.
Routine monitoring activities, along with specialized investigations, are conducted to assess performance, identify trends, and ensure compliance with established standards. These efforts involve systematic data collection, analysis of key metrics, and the execution of targeted assessments to address specific operational or compliance-related inquiries. The findings from these activities inform decision-making processes, support continuous improvement initiatives, and facilitate the mitigation of potential risks across the organization.
Facilitate the execution of project assessments with an emphasis on:
We oversee comprehensive commodity logistics data, spanning the entire supply chain journey from origin to destination. This role demands meticulous attention to detail in tracking, analyzing, and reporting on commodity movements, ensuring accuracy and efficiency at every stage. Candidates must possess robust analytical skills, proficiency in data management systems, and the ability to interpret complex logistics information. Responsibilities include managing real-time data updates, identifying trends, and providing actionable insights to optimize logistics operations and mitigate risks. Experience in commodity trading, supply chain analytics, or related fields is highly desirable, along with strong problem-solving capabilities and adaptability to dynamic market conditions.
Experts in budget management, allocation strategies, and inventory replenishment metrics are sought, with a strong emphasis on implementing and maintaining these DRF systems.
The LUIS digitization and enhancement of its adoption represent critical priorities for our organization. This initiative encompasses the modernization of data collection, processing, and dissemination systems to ensure accuracy, accessibility, and usability. Key requirements include proficiency in digital tools, data management software, and analytical techniques to support seamless integration and operational efficiency. Responsibilities entail overseeing the transition from manual to automated processes, training stakeholders on new systems, and monitoring performance metrics to drive continuous improvement. Successful implementation will rely on strong technical expertise, collaboration across departments, and a commitment to fostering data-driven decision-making.
Conduct in-depth evaluations of trends and outcomes to ensure thorough examination.
Capacity building and mentorship initiatives involve enhancing organizational and individual competencies through targeted training, guidance, and support mechanisms to foster sustainable development and effective performance.
Supervise the enhancement of monitoring and evaluation (M&E) capabilities among state and local government area (LGA) officials, as well as health facility staff, to strengthen their operational effectiveness.
Design instructional and mentorship resources covering topics such as:
Data compilation and dissemination of findings are essential duties, involving the systematic gathering, processing, and distribution of accurate information to stakeholders. Responsibilities include maintaining meticulous records, ensuring data integrity, and adhering to established protocols for reporting. Proficiency in data management tools, analytical skills, and attention to detail are required to fulfill these tasks effectively.
Utilizing data effectively to inform and enhance decision-making processes represents a critical operational function, requiring the systematic collection, analysis, and interpretation of information to derive actionable insights. This role entails identifying trends, evaluating performance metrics, and translating complex datasets into clear, strategic recommendations that support informed business choices. Proficiency in data analysis tools, statistical methodologies, and visualization techniques is essential, along with a strong understanding of relevant industry standards and data governance practices. The position demands meticulous attention to detail, problem-solving agility, and the ability to communicate findings to stakeholders across diverse departments. Additionally, ensuring data accuracy, integrity, and compliance with regulatory requirements remains a foundational responsibility.
The successful candidate will be responsible for managing and analyzing data within the LUIS (Logistics Management Information System) and DRF (Data Reporting Framework) systems. Proficiency in these platforms is essential for accurate data collection, processing, and reporting. Key duties include maintaining data integrity, generating insightful reports, and ensuring compliance with established data standards. Additionally, the role requires collaboration with cross-functional teams to support decision-making processes and enhance system efficiency.
Partner & Stakeholder Coordination: You will engage with key partners and stakeholders to build and maintain strong relationships, ensuring alignment with organizational goals. This role requires excellent interpersonal and communication skills to effectively convey objectives, address concerns, and foster collaborative solutions. Additionally, you will identify opportunities for partnership development, negotiate agreements, and oversee the implementation of initiatives to drive mutual success. Experience in cross-functional collaboration, conflict resolution, and strategic planning is essential to thrive in this dynamic environment.
Coordinate MEL (Monitoring, Evaluation, and Learning) activities for the project in collaboration with the C4SD and FIELD teams to ensure cohesive implementation and alignment with program objectives.
Engage actively in collaborative data assessment initiatives and interdisciplinary knowledge-sharing sessions.
Deliver technical expertise to inform policy formulation, advocacy initiatives, and the evaluation of program designs.
Tracked and measured against Key Performance Indicators (KPIs), ensuring alignment with organizational objectives and driving continuous improvement through data-driven insights.
Timeliness and quality are paramount in the preparation of MEL reports. These reports must consistently meet established deadlines while adhering to rigorous quality standards to ensure accurate and actionable insights.
Ensures meticulous accuracy and comprehensive coverage of all state-level data.
Significant enhancements are required in critical performance metrics, including stock out rates, reporting rates, and the functionality of the DRF system.
Enhance the strategic utilization of data at both state and facility levels to drive informed decision-making processes.
Enhance the capabilities and performance of MEL staff and partners to drive measurable improvements in their effectiveness and collaboration.
Bachelor’s degree in a relevant field or equivalent professional experience is required. Five or more years of progressive experience in a similar role is preferred. Proficiency in industry-standard software and tools is essential. Strong analytical and problem-solving skills are necessary. Excellent communication and interpersonal abilities are also required. Ability to work independently and collaboratively within a team environment is expected. Knowledge of best practices and compliance standards in the field is advantageous.
Education: Candidates must hold a bachelor’s degree in a relevant field, such as computer science, engineering, or a related discipline. Advanced degrees or certifications are advantageous but not mandatory. Equivalent professional experience may be considered in lieu of formal education, subject to approval. Proficiency in industry-specific tools, methodologies, or frameworks is essential, and ongoing professional development is encouraged to stay current with technological advancements.
A Bachelor’s Degree in Statistics, Epidemiology, Public Health, Economics, or a closely related discipline is required.
A master’s degree is either essential or highly desirable for this position.
With experience in the field, candidates should possess a proven track record of delivering results in similar roles. A minimum of [X] years of professional experience in [specific industry/field] is required, along with demonstrated expertise in [key skill or area]. Successful applicants will have a strong background in [relevant function or responsibility], ensuring they can immediately contribute to [specific goal or project]. Familiarity with [industry-standard tools or methodologies] is essential, along with the ability to analyze complex data and derive actionable insights. Additionally, candidates must exhibit exceptional problem-solving skills and adaptability in dynamic work environments.
Minimum of five years of progressively responsible experience in Monitoring, Evaluation, and Learning (MEL) is required, along with demonstrated leadership in a supervisory capacity.
Experienced professionals sought with a proven track record in implementing and overseeing Monitoring, Evaluation, and Learning (MEL) systems across donor-funded initiatives, including those supported by prominent organizations such as the Gates Foundation, USAID, and the Global Fund.
Accomplished professional with a demonstrated ability to successfully execute health sector initiatives spanning multiple states or extensive geographic regions.
Seasoned professionals should possess a proven track record in health systems enhancement initiatives or commodity and supply chain management programs.
Technical Proficiency: Possesses advanced knowledge and hands-on experience in specialized technical domains, including but not limited to system architecture, software development, data analysis, or cybersecurity. Demonstrates expertise in applicable programming languages, frameworks, and tools relevant to the role. Applies technical skills to resolve complex issues, optimize performance, and drive innovation within projects or operational frameworks.
Proficiency in using Microsoft Office Suite, particularly Word, Excel, and PowerPoint, is a requirement for this position. Strong written and verbal communication skills are essential, along with the ability to work both independently and collaboratively in a team environment. The ideal candidate should possess excellent organizational skills and the capacity to manage multiple priorities efficiently. A minimum of three years of relevant experience in an administrative or support role is preferred, though equivalent qualifications will be considered. Familiarity with project management tools and basic accounting principles is a plus.
Data analytics and visualization platforms, including Excel, Power BI, and Tableau, are essential for this role. Candidates must possess proficiency in these tools to effectively interpret data, generate insights, and present findings through compelling visualizations. Experience with these applications will enable the successful candidate to support data-driven decision-making processes across the organization.
DHIS2, an open-source health management information system, serves as the foundation for the National Health Laboratory Management Information System (NHL MIS) and the electronic Logistics Management Information System (Ellis). These integrated platforms facilitate comprehensive data collection, analysis, and reporting for healthcare and supply chain management, enabling informed decision-making at all administrative levels. The system supports real-time monitoring, inventory tracking, and performance assessment, ensuring efficient resource allocation and operational transparency.
Mobile data collection platforms, including OK, KoboToolbox, and Comm Care, are essential tools for this role. Proficiency in these applications is required to design, deploy, and manage digital surveys efficiently. Additionally, candidates must possess strong analytical and problem-solving skills to troubleshoot technical issues and ensure data integrity. The position demands meticulous attention to detail to accurately capture and process field data while maintaining strict quality control standards.
Demonstrates a deep understanding of the subject, with proven expertise in the relevant field. Exhibits a comprehensive grasp of core principles, methodologies, and best practices essential to the role.
A robust framework for measuring results and diligently tracking key performance indicators is essential to this role. Continuous monitoring and evaluation of progress against established benchmarks are required, along with the systematic collection and analysis of data to assess outcomes. The position involves close collaboration with stakeholders to ensure alignment between strategic objectives and measurable results, while also identifying trends and insights to inform decision-making. Strong analytical skills and attention to detail are necessary to interpret performance metrics accurately and provide actionable recommendations for improvement.
Data quality assurance methodologies encompass structured processes aimed at verifying and maintaining the accuracy, consistency, and reliability of data across systems and workflows. These methodologies include validation checks, error detection techniques, and systematic monitoring to identify discrepancies, anomalies, or inconsistencies. Additionally, they involve implementing corrective measures, documenting findings, and establishing standardized procedures to mitigate risks associated with poor data integrity. Compliance with industry regulations and adherence to best practices in data governance are integral components of these methodologies.
DRF systems expertise and proficiency in health financing analytics are highly desirable.
Core Strengths: Demonstrates proficiency in key functional areas essential to the role. Exhibits strong analytical, problem-solving, and critical-thinking capabilities. Maintains a keen attention to detail and a commitment to accuracy in all tasks. Possesses exceptional organizational skills, enabling efficient management of multiple priorities. Displays effective communication and interpersonal abilities, facilitating collaboration with colleagues and stakeholders. Exhibits adaptability and resilience in dynamic environments, readily embracing change and overcoming challenges. Shows a proactive approach to learning and development, staying current with industry trends and best practices. Upholds high ethical standards and professional integrity in all professional interactions.
Individuals should possess robust analytical capabilities alongside a strategic mindset, enabling them to dissect complex problems and formulate effective solutions. Demonstrated proficiency in evaluating data, identifying trends, and aligning decisions with long-term objectives is essential. The ability to synthesize information from diverse sources and translate insights into actionable strategies is also required.
Proven expertise in interpreting and visualizing complex datasets is essential.
Maintains a steadfast commitment to ethical standards and demonstrates meticulous attention to detail in all tasks and interactions.
Outstanding capabilities in leadership, mentoring, and team development are essential.
Excellent interpersonal and stakeholder management abilities are essential for this role.
Proven capability to function effectively within intricate, collaborative frameworks involving multiple stakeholders.
Qualifications
BA/BSc/HND
Experience Required
5 years
