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 in supported healthcare facilities. This objective will be pursued through collaborative efforts involving multiple stakeholders across various Ministries, Departments, and Agencies (MDS)—including the Smog, Spicas, DMA/CMS, and healthcare facilities—as well as key partners such as FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI, among others. The project’s long-term goals include ensuring reliable last-mile delivery (LMD) of MNH commodities to facilities, strengthening state-level capacity to plan, finance, and implement LMD operations, digitalizing state-level logistics management information systems (LUIS) for real-time logistics data visibility, enabling consumption-driven forecasting and quantification of MNH bundle commodities, and reinforcing drug revolving fund (DRF) programs to guarantee a steady resupply of these essential commodities.
The initiative seeks to ensure equitable access to these essential maternal, newborn, and child health (MNCH) services by utilizing established government and donor-funded financing models designed to shield women and their families from economic hardship. These mechanisms encompass national and state-level health insurance programs, complimentary or subsidized MNCH services incorporated under BHCPF 2.0 and the HOPE-PHC initiative, as well as state-specific free MNCH programs where applicable.
The position involves overseeing key operational aspects to drive efficiency and effectiveness within the team. Core responsibilities include managing workflows, coordinating cross-functional projects, and ensuring alignment with organizational goals. Additionally, the role requires collaborating with stakeholders to identify opportunities for improvement and implementing strategic initiatives to enhance performance. Qualifications include a proven track record in a similar capacity, strong analytical and problem-solving abilities, and exceptional communication skills to liaise with teams at all levels. The ideal candidate will demonstrate leadership in fostering a collaborative culture while maintaining a results-driven approach.
The Senior MEL Officer will spearhead strategic and operational guidance for the development, execution, and ongoing enhancement of the project’s Monitoring, Evaluation, and Learning framework.
The incumbent will serve as a pivotal integrator, connecting data systems such as NHL MIS and program dashboards with strategic programmatic decision-making at both the central and state levels across the five focus states.
The position will provide direct supervision to the MEL Analyst and State Logistics Data Analyst, in addition to overseeing indirect reports from State Technical Assistants.
The position will be responsible for ensuring that all obligations are fulfilled and objectives are met. This includes overseeing processes to guarantee compliance with established standards and verifying that deliverables align with project requirements. Additionally, the role will monitor progress to address any deviations promptly and maintain alignment with strategic goals.
Accurate, up-to-date, and dependable data sourced from the electronic Logistics Management Information System (Ellis), program performance dashboards, and field implementation reports is essential for informed decision-making and operational success.
We continuously monitor project performance to ensure alignment with the established results framework targets.
Evidence generation plays a pivotal role in shaping program design, informing policy engagement, and facilitating strategic scale-up initiatives.
Continuous learning and adaptive program management are essential to ensure ongoing improvement and responsiveness to evolving challenges. This role requires a commitment to staying current with industry trends, best practices, and emerging technologies to enhance program effectiveness. Responsibilities include evaluating current processes, identifying opportunities for optimization, and implementing innovative solutions to drive efficiency and results. Strong adaptability and a proactive approach to change management are critical to successfully navigating dynamic environments and achieving strategic objectives.
Offer expert technical support to SODA and STA’s regarding data utilization and reporting practices.
Collaborate effectively with partner Monitoring, Evaluation, and Learning (MEL) teams, including C4SD, FIELD Intelligence, and service delivery partners.
Craft compelling performance visualization decks and supporting materials for donor updates and government stakeholder presentations.
Oversee and execute critical duties encompassing strategic planning, operational execution, and performance optimization to ensure organizational objectives are met efficiently. Develop and implement policies, procedures, and systems that enhance productivity, compliance, and overall effectiveness. Lead cross-functional teams, foster collaboration, and drive continuous improvement initiatives to maintain a competitive edge. Analyze key performance indicators, identify trends, and recommend data-driven solutions to mitigate risks and capitalize on opportunities. Ensure adherence to industry regulations, quality standards, and ethical guidelines while promoting a culture of accountability and excellence.
Strategic Monitoring, Evaluation, and Learning (MEL) Leadership encompasses the design, implementation, and oversight of robust MEL systems to drive data-informed decision-making, enhance program effectiveness, and ensure accountability. This role requires a forward-thinking approach to developing and refining MEL frameworks, methodologies, and tools tailored to organizational objectives and stakeholder needs. Responsibilities include establishing clear performance indicators, conducting rigorous impact assessments, and fostering a culture of continuous learning and adaptive management. Additionally, the position demands collaboration with cross-functional teams to integrate MEL findings into strategic planning, reporting, and resource allocation processes, ensuring alignment with overarching goals and compliance with best practices in the field.
Spearhead the creation, enhancement, and implementation of the project’s Monitoring, Evaluation, and Learning (MEL) framework, its underlying theory of change, and the comprehensive results measurement strategy.
Ensure MEL systems comply with donor specifications and align with national reporting frameworks, maintaining accuracy and consistency in all data management processes.
Foster seamless alignment among data streams pertaining to supply chain operations, financing initiatives, and service delivery mechanisms.
Design and implement robust system architectures and data frameworks, ensuring scalability, efficiency, and reliability across integrated platforms. Collaborate with cross-functional teams to define data models, optimize database structures, and establish data governance policies that align with organizational objectives. Leverage advanced technologies and best practices to design high-performance systems capable of handling large-scale data processing while maintaining security and compliance standards.
Craft, develop, and implement comprehensive data systems from initial design through full deployment, ensuring seamless integration and operational efficiency throughout the entire lifecycle.
Data collection encompasses a dual approach, utilizing both digital instruments and traditional paper-based methods to gather essential information efficiently.
We are seeking a skilled professional to design, develop, and maintain tracking dashboards for program indicators, ensuring real-time data visualization and performance monitoring. The role involves creating intuitive and interactive dashboards to display key metrics, trends, and insights, facilitating data-driven decision-making. Proficiency in dashboard development tools, such as Tableau, Power BI, or similar platforms, along with strong analytical and visualization skills, is required. Additionally, the candidate must have experience working with data sources, performing data cleaning and transformation, and generating reports. Excellent communication skills are essential to present findings clearly to stakeholders and collaborate effectively with cross-functional teams.
Design and implement cutting-edge real-time dashboards and performance tracking systems to provide immediate visibility into key operational metrics. Develop interactive interfaces that enable stakeholders to monitor progress, identify trends, and make data-driven decisions efficiently. Ensure these systems deliver accurate, up-to-date information with minimal latency, supporting continuous performance evaluation and strategic adjustments.
Ensure the flawless integration of the system with NHL MIS and Ellis platforms.
Data Management and Quality Assurance involves ensuring the accuracy, integrity, and reliability of organizational data through systematic processes and rigorous validation techniques. This role is responsible for implementing and maintaining data governance frameworks, establishing standardized procedures for data collection, storage, and analysis, and verifying data consistency across systems. Additionally, it entails performing regular audits to identify discrepancies, applying corrective measures to resolve issues, and documenting all quality control activities. The position requires a strong attention to detail, proficiency in data management tools and software, and a commitment to upholding high standards of data excellence.
Develop and enforce comprehensive data governance frameworks to ensure consistent compliance and standards organization-wide.
Conduct comprehensive Data Quality Assessments (Dias) and execute rigorous validation exercises.
Perform regular, unannounced audits and on-site evaluations to ensure compliance and accuracy at designated locations.
Ensure comprehensive data triangulation by systematically cross-referencing multiple sources, including the Logistics Management Information System (LUIS), facility registers, and financial records.
Performance metrics evaluation and data reporting, including the collection, analysis, and presentation of key performance indicators to assess operational effectiveness and identify areas for improvement. This role requires proficiency in data visualization tools, advanced Excel skills, and the ability to interpret complex datasets to generate actionable insights. Strong written and verbal communication is essential for conveying findings to stakeholders clearly and persuasively.
Track and monitor essential program metrics to evaluate performance and identify trends. Analyze collected data to assess progress toward established objectives and determine areas for improvement. Ensure accurate documentation of findings to support informed decision-making and strategic planning.
Analyze MNH commodity stock levels, consumption patterns, and stock out occurrences to evaluate inventory performance and identify potential supply chain risks.
We maintain high order fill rates, ensure accurate facility reporting, and achieve efficient order turnaround times to meet operational excellence standards.
Delivers budgeting and replenishment performance metrics in alignment with established DRF targets.
The successful candidate will ensure the adoption, utilization, reporting completeness, and timeliness of the NHL MIS across all states.
Prepare monthly, quarterly, and annual reports to ensure accurate and timely financial and operational data is compiled and presented.
Craft comprehensive donor updates and reports, technical summaries, and executive dashboards to facilitate informed leadership decisions.
Facilitates the continuous enhancement of organizational learning, adaptation, and knowledge management processes.
Conduct quarterly data review and learning sessions in collaboration with technical partners, specifically FIELD and C4SD.
Produce data-driven recommendations to inform strategic modifications, advocacy initiatives, and resource distribution.
Capture, organize, and share proven methodologies, key insights, and illustrative examples, including case studies and success narratives, to enhance organizational knowledge and drive continuous improvement.
Conduct thorough evaluations and research to assess performance metrics, identify trends, and generate data-driven insights for strategic decision-making.
Lead and coordinate:
Baseline, midline, and Edline evaluations will be conducted to systematically measure progress and outcomes at key intervals throughout the initiative. These assessments will establish initial benchmarks, track developmental changes, and assess final achievements against predefined objectives. Accurate and timely data collection will be essential to inform decision-making and ensure alignment with strategic goals.
Routine monitoring activities and targeted special studies are conducted to ensure comprehensive data collection and analysis. This involves systematic oversight of operational performance along with in-depth investigations to address specific inquiries or challenges. The role requires meticulous attention to detail, adherence to established protocols, and the ability to interpret findings accurately. Responsibilities include maintaining accurate records, generating insightful reports, and collaborating with cross-functional teams to support informed decision-making.
Support the execution of project evaluations with a focus on meticulously analyzing performance metrics, ensuring alignment with strategic objectives, and identifying key areas for enhancement. This role involves collaborating with cross-functional teams to gather comprehensive data, applying rigorous assessment methodologies, and delivering actionable insights to stakeholders. Strong analytical skills and attention to detail are essential to accurately interpret findings and recommend improvements that drive project success. Familiarity with evaluation frameworks and experience in project management are highly desirable.
We oversee the complete lifecycle of commodity logistics data, from initial collection and validation through to final analysis and reporting. This role requires proficiency in data management systems and a meticulous approach to ensuring accuracy at every stage. Responsibilities include gathering, processing, and maintaining high-quality logistics data, as well as identifying trends and generating actionable insights to optimize supply chain operations. Strong analytical skills and attention to detail are essential, along with the ability to work collaboratively with cross-functional teams to support decision-making processes.
DRF budgeting, allocation, and replenishment metrics encompass the processes for managing financial resources, distributing funds across departments or projects, and ensuring adequate inventory levels to meet operational demands. These metrics provide critical insights into financial performance, resource utilization, and supply chain efficiency, enabling data-driven decision-making to optimize expenditures and maintain fiscal discipline.
LMIS digitization and uptake
Conduct thorough evaluations of trends and outcomes to ensure precision and insightfulness in all assessments.
Capacity Building and Mentorship: Enhancing organizational capabilities and providing expert guidance to drive sustainable development and operational excellence.
Supervise the enhancement of monitoring and evaluation (M&E) skills among state and local government area (LGA) officials, as well as health facility staff, to strengthen their capacity in these critical areas.
Craft engaging training and mentorship resources focused on the following key areas:
Responsibilities include gathering and compiling data, as well as preparing accurate reports to support organizational decision-making processes. This role requires meticulous attention to detail to ensure the integrity and reliability of collected information. Additionally, the position involves organizing data into meaningful formats, such as spreadsheets or databases, for easy analysis and retrieval. Strong analytical skills are essential to interpret trends and generate actionable insights from the data.
Professionals in this role will leverage data to inform strategic decision-making processes, ensuring that insights drive organizational outcomes. Responsibilities include collecting, analyzing, and interpreting complex datasets to identify trends, patterns, and actionable recommendations. They must collaborate with cross-functional teams to translate data-driven findings into practical solutions, supporting evidence-based strategies across departments. Proficiency in data visualization tools, statistical analysis, and proficiency with relevant software is essential. The ideal candidate will possess strong analytical skills, attention to detail, and the ability to communicate findings clearly to stakeholders at all levels.
The LUIS and DRF data systems are integral components of our operational infrastructure, designed to streamline data collection, processing, and analysis to support informed decision-making across various departments. These systems enable real-time tracking of inventory levels, supply chain performance, and distribution metrics, ensuring accurate and timely reporting. Professionals working with these platforms must possess proficiency in data management, analytics, and system administration, with a strong emphasis on accuracy and efficiency. Responsibilities include maintaining data integrity, troubleshooting system issues, and generating comprehensive reports to optimize supply chain operations and enhance overall productivity.
The role involves collaborating with partners and stakeholders to ensure effective alignment and communication. Responsibilities include fostering strong relationships, facilitating joint initiatives, and addressing shared objectives to drive mutual success. The position requires adept negotiation skills, the ability to influence decision-making, and a proactive approach to managing diverse interests. Strong interpersonal abilities and a strategic mindset are essential to navigate complex dynamics and achieve cohesive outcomes.
Coordinate the implementation of Monitoring, Evaluation, and Learning (MEL) activities for the project, ensuring seamless collaboration with the Community for Sustainable Development (C4SD) and FIELD teams to maximize impact and alignment with overarching objectives.
Engage in collaborative data review sessions and cross-functional learning forums to enhance shared insights and best practices.
Input technical expertise into the formulation of policies, contribute to advocacy initiatives, and participate in evaluations of program designs.
Monitor and evaluate key performance indicators (KPIs) to assess operational effectiveness and drive continuous improvement. Collect, analyze, and interpret data to identify trends, measure progress against established benchmarks, and generate actionable insights for strategic decision-making. Ensure accurate reporting of performance metrics to stakeholders while collaborating with cross-functional teams to implement data-driven solutions that enhance productivity and efficiency.
The accuracy and punctuality of Monitoring, Evaluation, and Learning (MEL) reports are crucial. These reports must be prepared and submitted promptly while maintaining high-quality standards. The role requires strict adherence to deadlines and a commitment to delivering comprehensive, well-researched, and clearly presented documentation. Strong attention to detail, analytical skills, and proficiency in relevant reporting frameworks are essential to ensure the reports meet organizational and stakeholder expectations.
Ensuring meticulous precision and thoroughness in data collection and verification processes across all states is essential. Attention to detail and commitment to comprehensive data integrity must be maintained throughout all stages of data management.
Significant enhancements are required in essential metrics, including stock out rates, reporting rates, and DRF functionality.
Proficiency in leveraging data effectively to inform decision-making processes at both the state and facility levels is essential.
Enhancing the capabilities of MEL staff and partners is essential.
Qualifications
Education:
A Bachelor’s Degree in Statistics, Epidemiology, Public Health, Economics, or a closely related discipline is required.
A master’s degree is either required or strongly preferred for this position.
With a proven track record in the field, candidates should possess substantial hands-on experience relevant to the role. Prior involvement in similar projects or environments is essential, as is familiarity with industry-standard tools and methodologies. Applicants must demonstrate a minimum of [X] years of professional experience in a comparable capacity, along with the ability to apply this expertise to drive tangible results. Strong problem-solving skills and adaptability to evolving challenges are also required.
A minimum of five years of progressively responsible experience in Monitoring, Evaluation, and Learning (MEL) is required, along with demonstrated leadership in a supervisory capacity.
Professionals with extensive hands-on expertise in overseeing Monitoring, Evaluation, and Learning (MEL) frameworks within donor-funded initiatives—including those supported by the Gates Foundation, USAID, and the Global Fund—are encouraged to apply.
Demonstrates extensive experience in executing health sector initiatives that span multiple states or operate on a large scale.
Professionals with a background in enhancing health systems or managing supply chain and commodity programs are encouraged to apply. Familiarity with initiatives aimed at strengthening health infrastructure or optimizing the distribution of essential medical supplies is highly valued.
Technical Expertise:
Demonstrated proficiency in specialized technical domains relevant to the role, encompassing a comprehensive understanding of industry-specific tools, methodologies, and best practices. Demonstrated capability to apply technical knowledge effectively to address complex challenges and drive innovative solutions. Familiarity with emerging technologies, frameworks, and evolving trends within the field to ensure alignment with industry advancements. Strong analytical and problem-solving skills to assess technical requirements, identify optimal solutions, and implement efficient processes. Experience in troubleshooting, debugging, and optimizing systems to enhance performance and reliability. Ability to collaborate with cross-functional teams, including engineers, developers, and stakeholders, to deliver cohesive and high-quality technical outcomes.
Proficient in utilizing a range of technical tools and software with a high degree of skill and accuracy.
Professional tools for data analytics and visualization, including Excel, Power BI, and Tableau, are essential for this role.
DHIS2 serves as the foundational platform for the National Health Logistics Management Information System (NHL MIS) and the electronic Logistics Management Information System (Ellis), providing essential data management and analytical capabilities to optimize health supply chains and logistics operations.
Mobile data collection tools such as OK, KoboToolbox, and Comm Care are utilized to streamline field data capture, enhance data accuracy, and improve operational efficiency in research and program management contexts.
Strong expertise in technical or domain-specific areas relevant to the role is a fundamental requirement. Proficiency in specific tools, frameworks, or methodologies is essential for success in this position. Prior experience in similar tasks or environments is highly desirable.
The organization utilizes results frameworks to systematically track and measure key performance indicators, ensuring alignment with strategic objectives and facilitating data-driven decision-making throughout project implementation.
Data quality assurance methodologies encompass systematic processes designed to verify and maintain the accuracy, consistency, and reliability of data throughout its lifecycle. These methodologies involve identifying data anomalies, implementing corrective measures, and establishing standardized procedures to prevent errors. Key responsibilities include conducting thorough data validation, performing routine audits, and documenting quality metrics to ensure compliance with organizational and industry standards. Additionally, professionals in this role collaborate with cross-functional teams to address data integrity issues and promote best practices in data governance.
DRF systems expertise and proficiency in health financing analytics represent highly desirable qualifications.
Core strengths encompass a comprehensive skill set essential for excelling in the role, including advanced proficiency in relevant software applications, exceptional analytical capabilities, and a proven track record in strategic planning. Key requirements involve a minimum of five years of hands-on experience in a related field, along with strong leadership qualities and the ability to collaborate effectively across multidisciplinary teams. Primary responsibilities include leading project initiatives from inception to completion, optimizing operational workflows, and ensuring adherence to industry regulations while driving measurable outcomes. Additionally, the position demands meticulous attention to detail, outstanding communication skills, and a commitment to continuous professional development.
Demonstrates exceptional proficiency in analytical reasoning and strategic planning.
Proven expertise in analyzing and presenting data through advanced visualization techniques and insightful interpretation methods.
We seek a candidate characterized by exceptional integrity and meticulous attention to detail.
Accomplished in guiding teams, fostering leadership, and cultivating high-performance through mentorship and strategic direction.
Proven ability to effectively convey information and collaborate with stakeholders through clear, concise, and persuasive communication.
Proven capability to function effectively within intricate, collaborative frameworks involving multiple stakeholders.
Qualifications
BA/BSc/HND
Experience Required
5 years
