About the MNH-ASSIST Project
The MPH-ASSIST project is designed to enhance the consistent availability, accessibility, utilization, monitoring, and reporting of Maternal and Newborn Health (MNH) bundle commodities across participating health facilities. This initiative will be executed through collaborative partnerships involving multiple Ministries, Departments, and Agencies (MDS), including the State Ministry of Health (Smog), State Primary Health Care Development Agencies (Spicas), Drug Management Agency/Central Medical Stores (DMA/CMS), health facilities, as well as key partners such as FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI. The project’s core objectives include ensuring reliable last-mile delivery (LMD) of MNH commodities to facilities, strengthening state-level capabilities for planning, financing, and implementing LMD operations, digitizing Logistics Management Information Systems (LUIS) to provide real-time visibility of logistics data, implementing consumption-driven forecasting and quantification for MNH bundle commodities, and reinforcing Distribution and Replenishment Facility (DRF) programs to maintain a steady supply of essential MNH commodities.
To further enhance accessibility, the initiative seeks to provide cost-effective bundled Maternal, Newborn, and Child Health (MNCH) services to beneficiaries through the utilization of established financing mechanisms—both government and donor-funded—designed to mitigate financial risks for women and their families. These mechanisms encompass national and state health insurance schemes, complimentary or subsidized MNCH services integrated within the BHCPF 2.0 and HOPE-PHC initiatives, as well as state-specific free MNCH programs, where applicable.
Role Summary
The Senior MEL Officer will lead the strategic and operational development of the project’s Monitoring, Evaluation, and Learning (MEL) system, ensuring its design, implementation, and ongoing enhancement meet established objectives.
They will serve as a vital liaison, connecting data systems such as the NHL MIS and program dashboards with strategic programmatic decision-making at the central level and across the five focus states.
The position will provide direct oversight of the MEL Analyst and State Logistics Data Analyst, in addition to overseeing indirect reports from State Technical Assistants.
The position will encompass the responsibility of guaranteeing that all key deliverables are achieved in accordance with established timelines and quality standards, while maintaining alignment with organizational objectives. This will involve overseeing critical processes, monitoring progress, and implementing corrective measures as necessary to mitigate risks and enhance operational efficiency. Additionally, the role will require collaboration with cross-functional teams to ensure seamless integration of initiatives and adherence to regulatory and compliance requirements.
Delivering 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.
Monitoring performance against the established project results framework targets is conducted actively to ensure alignment with planned objectives.
Evidence generation plays a pivotal role in shaping program design, enhancing policy engagement, and facilitating scalability.
Continuous learning and the ability to adaptively manage programs are essential components of this role.
Offer expert technical counsel to SODA and STA’s regarding data utilization and reporting methodologies.
Collaborate effectively with partner Monitoring, Evaluation, and Learning (MEL) teams—including C4SD, FIELD Intelligence, and service delivery partners—to ensure cohesive and integrated program implementation.
Develop compelling performance visualization decks and supporting materials tailored for donor updates and government stakeholder meetings.
Oversee and execute critical duties encompassing strategic planning, operational management, and cross-functional collaboration to drive organizational objectives forward. Serve as a pivotal liaison between senior leadership and departmental teams, ensuring seamless communication and alignment with company-wide goals. Lead initiatives that enhance productivity, streamline processes, and foster innovation while maintaining adherence to industry regulations and best practices. Responsible for monitoring performance metrics, analyzing data trends, and implementing corrective actions to optimize efficiency and achieve measurable outcomes. Actively contribute to talent development programs, performance evaluations, and succession planning to cultivate a high-performing workforce.
Strategic Monitoring, Evaluation, and Learning (MEL) leadership involves designing, implementing, and overseeing comprehensive MEL systems to ensure data-driven decision-making and continuous improvement in program effectiveness. This role requires establishing clear performance indicators, methodologies for data collection and analysis, and robust reporting mechanisms to track progress toward objectives. Additionally, it entails fostering a culture of learning within the organization by facilitating regular reflections, adaptive management strategies, and evidence-based adjustments to strategies. Strong leadership skills are essential to guide teams, align stakeholders, and ensure MEL frameworks support organizational goals and accountability.
Spearhead the design, enhancement, and implementation of the project’s Monitoring, Evaluation, and Learning (MEL) framework, theory of change, and results measurement strategy.
Align MEL systems to comply with donor specifications and align them with national reporting frameworks.
Ensure seamless integration among supply chain, financing, and service delivery data streams.
Designs scalable system architectures and data frameworks to ensure seamless integration, performance optimization, and robust data management. Establishes foundational structures for databases, data pipelines, and storage solutions while aligning with business objectives and technological advancements. Collaborates with cross-functional teams to define data models, APIs, and infrastructure requirements, ensuring alignment with security, compliance, and scalability standards. Evaluates emerging technologies and tools to enhance system efficiency, reliability, and future-readiness.
Spearhead the development and execution of comprehensive data systems spanning from initial design through full deployment, ensuring seamless integration and operational efficiency throughout the entire lifecycle.
Data collection tools, encompassing both digital platforms and traditional paper-based methods, are utilized to gather and document information accurately and efficiently. These tools facilitate the systematic acquisition of data, ensuring comprehensive and reliable records for analysis and decision-making processes. Proficiency in utilizing a variety of data collection instruments is essential to maintain consistency and integrity in the information obtained.
Develop and maintain dynamic tracking dashboards designed to monitor and visualize program indicators, ensuring accurate and timely data representation for stakeholders. These dashboards will aggregate key performance metrics, facilitate trend analysis, and support informed decision-making across various program areas. Proficiency in data visualization tools and strong analytical skills are essential to interpret complex datasets and present insights effectively. Additionally, the role requires collaboration with cross-functional teams to gather requirements, validate data accuracy, and refine dashboard functionalities based on user feedback.
Develop and maintain dynamic dashboards and performance monitoring systems to provide real-time insights.
Ensure flawless integration with both the National Health Logistics Management Information System (NHL MIS) and the electronic Logistics Management Information System (Ellis).
Data Management & Quality Assurance involves overseeing the accuracy, consistency, and reliability of organizational data while implementing robust quality control measures. Responsibilities include validating data integrity, identifying discrepancies, and ensuring compliance with regulatory standards. Additionally, this role requires proficiency in data cleansing techniques, error detection methodologies, and the maintenance of comprehensive documentation. Candidates must possess strong analytical skills, meticulous attention to detail, and the ability to troubleshoot data-related issues efficiently.
Develop and enforce comprehensive data governance frameworks to ensure consistency and compliance throughout the organization.
Conduct comprehensive Data Quality Assessments (Dias) and execute rigorous validation exercises to ensure data integrity and reliability.
Perform periodic, on-site spot-checks and verification visits to ensure compliance and accuracy.
Verify the consistency and reliability of data by cross-referencing multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Monitor and analyze performance metrics to generate accurate and timely reports, ensuring data-driven insights are provided for strategic decision-making and operational improvements. Track key performance indicators (KPIs) regularly, identify trends or anomalies, and communicate findings effectively to stakeholders at all levels. Utilize reporting tools and methodologies to present data clearly, enabling informed assessments of business performance and facilitating continuous enhancement of processes and outcomes.
Monitor and evaluate critical program metrics, such as:
Monitoring commodity stock levels, analyzing consumption patterns, and evaluating stock out rates remain essential responsibilities to ensure effective inventory management.
We monitor and report on order fulfillment rates, facility performance metrics, and the efficiency of order processing timelines to ensure operational excellence.
Delivers DRF budgeting and replenishment outcomes in alignment with established targets.
Adoption rates, usage patterns, reporting completeness, and timeliness of NHL MIS implementation across states must be monitored and evaluated systematically.
Compose monthly, quarterly, and annual reports to ensure comprehensive data analysis and performance tracking.
Prepare donor updates and reports, technical briefs, and executive dashboards to support leadership in making informed decisions.
Learning, Adaptation, and Knowledge Management: We are committed to fostering a culture of continuous growth and improvement by actively identifying and integrating new insights, best practices, and innovative strategies. Our approach emphasizes the systematic collection, organization, and dissemination of knowledge to enhance decision-making and operational efficiency. This involves leveraging both internal and external resources to ensure our team remains agile, informed, and capable of responding effectively to evolving challenges and opportunities.
Conduct quarterly data review and learning sessions in collaboration with technical partners including FIELD and C4SD.
Develop practical insights to inform program modifications, advocate for policy changes, and optimize resource distribution.
Compile, archive, and distribute best practices, key insights, lessons learned, case studies, and success stories to relevant stakeholders.
Conduct comprehensive evaluations and research initiatives to assess performance, effectiveness, and impact, ensuring data-driven insights guide strategic decision-making and continuous improvement across initiatives.
Lead and oversee the coordination of projects, ensuring alignment with organizational objectives and fostering collaboration among teams to achieve established goals efficiently.
Baseline, midline, and Edline evaluations are essential components of this role, ensuring comprehensive progress tracking and data-driven decision-making throughout program implementation. These assessments involve systematic data collection, analysis, and reporting to measure key performance indicators, identify trends, and evaluate the effectiveness of interventions. The incumbent will be responsible for designing assessment frameworks, developing data collection tools, and overseeing the execution of these evaluations at designated intervals. Strong analytical skills, attention to detail, and proficiency in statistical analysis are critical for interpreting results and generating actionable insights. Familiarity with monitoring and evaluation methodologies, as well as experience with relevant software tools, is required to support accurate and efficient assessment processes.
Routine monitoring initiatives and targeted special studies are conducted to evaluate performance, identify trends, and provide data-driven insights. These efforts ensure compliance with established standards, support strategic decision-making, and facilitate continuous improvement across operations.
Support the execution of project assessments with emphasis on:
We oversee the complete lifecycle of commodity logistics data, from initial collection to final distribution, ensuring accuracy and efficiency at every stage. Our responsibilities include gathering, processing, validating, and analyzing data to support seamless supply chain operations. Proficiency in data management tools and systems is essential, along with a strong understanding of commodity markets and logistics processes. Candidates must demonstrate analytical skills to interpret complex datasets and identify trends that enhance decision-making. Collaboration with cross-functional teams is required to integrate logistics data with broader business strategies.
We specialize in developing and managing metrics related to budgeting, allocation, and replenishment within the DRF framework. Our role encompasses tracking financial performance, optimizing resource distribution, and ensuring timely restocking to maintain operational efficiency. By analyzing expenditure patterns and forecasting needs, we support strategic decision-making to enhance financial sustainability and mitigate risks.
LMIS digitization and uptake
Conduct thorough evaluations of trends and outcomes to ensure meticulous scrutiny and assessment.
Capacity building and mentorship initiatives involve providing training, resources, and guidance to enhance individual and organizational capabilities, fostering long-term growth and effectiveness.
Supervise the enhancement of monitoring and evaluation (M&E) skills among state and local government area (LGA) M&E officials, as well as health facility staff, to strengthen their institutional capabilities.
We are tasked with creating comprehensive training and mentorship resources focused on delivering structured guidance and fostering skill development. These materials will cover essential frameworks, best practices, and actionable strategies to support both individual and team growth. The aim is to ensure clarity, engagement, and measurable outcomes in professional development initiatives.
Responsibilities include gathering and compiling data, as well as preparing accurate reports. Regular analysis of data trends and metrics is also required to identify key insights. Strong attention to detail is necessary to ensure data integrity and consistency. Proficiency in data visualization tools and reporting software is preferred.
To utilize data effectively in the decision-making process, professionals must analyze, interpret, and apply relevant information to drive informed choices. This involves collecting and processing data from various sources, identifying trends and patterns, and transforming insights into actionable strategies. Strong analytical skills, proficiency in data tools, and the ability to communicate findings clearly to stakeholders are essential for success in this role. Additionally, a solid understanding of business objectives and the capacity to translate complex data into practical solutions are critical requirements.
The organization requires expertise in managing and analyzing data from LUIS (Logistics Management Information Systems) and DRF (Data Reporting Forms) to ensure accurate and timely information flow. Candidates must possess proficiency in these systems, along with the ability to interpret and report on the collected data effectively. Responsibilities include maintaining data integrity, generating insights from the information, and supporting decision-making processes based on LUIS and DRF outputs. Strong analytical skills and attention to detail are essential for this role.
Partner & Stakeholder Coordination: Cultivating and maintaining robust relationships with key partners and stakeholders is essential, requiring proactive engagement, clear communication, and alignment of mutual objectives to drive collaborative success. This role demands the ability to navigate diverse perspectives, resolve conflicts efficiently, and foster trust through transparency and accountability.
Coordinate MEL (Monitoring, Evaluation, and Learning) activities for the project in collaboration with C4SD and FIELD to ensure alignment and maximize impact.
Engage in collaborative data review sessions and cross-functional knowledge-sharing forums to enhance collective insights and best practices.
Deliver expert technical guidance to inform the formulation of policies, drive advocacy initiatives, and evaluate program designs.
Monitoring and assessing performance through measurable Key Performance Indicators (KPIs) is essential to evaluate the effectiveness and efficiency of operations, ensuring alignment with strategic objectives and continuous improvement. These indicators provide quantifiable metrics that track progress toward established goals, enabling data-driven decision-making and accountability across all levels of the organization. Regular evaluation of KPIs highlights areas of success as well as opportunities for enhancement, fostering a culture of transparency and operational excellence.
The timeliness and accuracy of Monitoring, Evaluation, and Learning (MEL) reports are paramount to our operations. These reports must be prepared meticulously to ensure compliance with organizational standards and donor requirements. A strong attention to detail and proficiency in data analysis are essential for generating insightful and reliable findings. Additionally, the ability to meet strict deadlines and prioritize tasks effectively is crucial for maintaining the integrity of our reporting processes.
Ensuring the precision and thoroughness of data across every state is essential.
We are seeking enhancements in critical metrics, including stock out rates, reporting rates, and DRF functionality.
Data utilization for informed decision-making at both state and facility levels is emphasized throughout the organization. Emphasis is placed on leveraging data to drive strategic and operational choices, ensuring alignment with organizational goals and enhancing overall performance.
Enhancing the capabilities of MEL personnel and partners remains a critical focus to drive performance.
A bachelor’s degree in a relevant field or equivalent practical experience is required. Proficiency in specific software or tools pertinent to the role is essential. Strong analytical and problem-solving skills, along with excellent communication abilities, are necessary. Prior experience in a similar position is highly preferred. The ability to work independently and collaboratively within a team environment is crucial. Attention to detail and a commitment to meeting deadlines are also important. Familiarity with industry standards and best practices is advantageous.
Education: Candidates must possess a Bachelor’s degree or higher in a relevant field such as engineering, computer science, or mathematics. Additionally, completion of advanced coursework or certifications in specialized areas is highly preferred. Relevant experience in an academic or professional setting is required to demonstrate proficiency in the core subject.
A Bachelor’s Degree in Statistics, Epidemiology, Public Health, Economics, or a closely related discipline is required for this role.
A master’s degree is essential, or at least highly preferred, for this position.
We seek candidates with a proven track record in relevant fields, showcasing a minimum of [X] years of hands-on experience. Proficiency in [specific skills or tools] is essential, along with a demonstrated ability to deliver measurable results in [specific tasks or projects]. Strong problem-solving skills and adaptability are required to thrive in dynamic environments. Familiarity with [industry standards, regulations, or methodologies] is highly desirable.
Minimum 5 years of progressively responsible experience in monitoring, evaluation, and learning (MEL), including demonstrated leadership in a supervisory capacity.
Seasoned professionals with extensive expertise in administering Monitoring, Evaluation, and Learning (MEL) systems for donor-funded initiatives—including those supported by the Gates Foundation, USAID, and the Global Fund—are sought after for this role.
Accomplished expertise in designing and executing extensive health sector initiatives spanning multiple states or large-scale operations.
Professional Experience in Health Systems Strengthening or Supply Chain/Commodity Program Operations
Professionals in this role bring expertise in enhancing health system frameworks or managing the logistics and distribution of essential medical supplies and commodities.
Technical Expertise: Demonstrates in-depth knowledge and hands-on experience in relevant technologies, methodologies, and tools pertinent to the role. Applies specialized skills to analyze complex systems, troubleshoot issues, and implement solutions efficiently. Requires proficiency in industry-standard software, programming languages, or frameworks, as well as a strong understanding of best practices in system design, security, and performance optimization. Familiarity with emerging technologies and continuous learning to adapt to evolving industry standards are essential.
Proficiency in using advanced software applications and tools relevant to the role is essential. Candidates must demonstrate a strong command of industry-standard technologies and possess the ability to quickly adapt to new systems. Familiarity with data analysis, project management, or specialized platforms may be required, depending on the position. The ideal applicant will exhibit technical expertise alongside problem-solving skills to efficiently navigate complex digital environments.
Professional candidates will possess proficiency in data analytics and visualization tools—including, but not limited to, Microsoft Excel, Power BI, and Tableau—as well as the ability to translate complex datasets into clear, actionable insights for stakeholders across diverse teams.
DHIS2 serves as the foundation for the National Health Logistics Management Information System (NHL MIS) and the electronic Logistics Management Information System (Ellis), providing essential data management capabilities to support healthcare logistics and supply chain operations.
Mobile data collection platforms such as OK, KoboToolbox, and Comm Care are essential for streamlining field data gathering, enabling efficient survey administration, and ensuring accurate data management in diverse operational environments. These tools facilitate real-time data submission, offline functionality, and seamless integration with analytics software, making them indispensable for organizations prioritizing data-driven decision-making. Proficiency in utilizing such platforms is often required to enhance data collection efficiency, accuracy, and scalability.
Strong expertise in the relevant field is essential, along with a deep understanding of its core principles and applications. Candidates must possess a robust skill set and the ability to apply theoretical knowledge effectively to practical scenarios. Proficiency in key tools, methodologies, and industry best practices is required to meet the demands of the role. Additionally, excellent problem-solving abilities and a commitment to continuous learning are critical for success in this position.
Designs and implements results frameworks while systematically monitoring and tracking key performance indicators to evaluate program effectiveness and progress towards established objectives.
We implement and oversee methodologies for data quality assurance to ensure accuracy, consistency, and reliability across all datasets. These methodologies encompass systematic processes for validating, cleansing, and monitoring data integrity, as well as identifying and rectifying discrepancies. Our approach includes the development of standardized procedures, automated checks, and performance metrics to maintain high standards of data quality. Additionally, we collaborate with cross-functional teams to establish best practices and align data governance frameworks with organizational objectives.
DRF systems and analytics related to health financing are highly desirable qualifications for this role.
Core proficiencies encompass a range of essential skills and qualifications required for excellence in the role. Candidates must demonstrate strong analytical abilities, proficiency in project management, and exceptional communication skills to collaborate effectively with cross-functional teams. The ideal applicant will exhibit adaptability, problem-solving acumen, and a commitment to continuous learning to drive innovation and operational efficiency. Key responsibilities include developing strategic initiatives, overseeing implementation phases, and ensuring alignment with organizational objectives while maintaining high performance standards. Experience in [specific industry or field, if applicable] and a track record of achieving measurable results are highly desirable. Proficiency with [relevant tools or software] and adherence to industry best practices are mandatory.
Demonstrates exceptional aptitude for analytical reasoning and strategic planning.
Proven expertise in analyzing and presenting complex data sets through clear and impactful visualizations is essential.
Maintains a strong commitment to ethical standards and demonstrates meticulous focus on accuracy in all tasks.
Proven expertise in leadership, coaching, and team management is essential for driving performance and fostering a collaborative work environment.
Proven ability to communicate effectively and cultivate meaningful relationships with stakeholders is essential.
Proficient in navigating intricate, collaborative frameworks involving multiple stakeholders and partners.
Qualifications
BA/BSc/HND
Experience Required
5 years
