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 in supported health facilities. This initiative will be executed through cross-sectoral partnerships involving key 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. The project’s core objectives include ensuring sustainable last-mile delivery (LMD) of MNH commodities to facilities, strengthening state-level planning, financing, and execution of LMD, digitizing state-level Logistics Management Information Systems (LUIS) for real-time logistics data visibility, implementing consumption-driven forecasting and quantification of MNH bundle commodities, and reinforcing Drug Revolving Fund (DRF) programs to guarantee uninterrupted replenishment of essential MNH supplies.
The initiative seeks to enhance affordability of these bundled Maternal, Newborn, and Child Health (MNCH) services for beneficiaries by utilizing established government and donor-funded financing mechanisms designed to mitigate financial risks for women and their families. These mechanisms encompass national and state-level health insurance programs, complimentary or subsidized MNCH services integrated into the Basic Health Care Provision Fund (BHCPF) 2.0 and the HOPE-PHC project, as well as state-specific free MNCH initiatives where applicable.
Role Summary
The Senior MEL Officer will lead the strategic and operational direction of the project’s Monitoring, Evaluation, and Learning (MEL) system, overseeing its design, implementation, and ongoing enhancement.
The individual will serve as a pivotal integrator, connecting data systems such as the 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 to the MEL Analyst and State Logistics Data Analyst, as well as oversight of indirect reports including State Technical Assistants.
The position will be responsible for ensuring that all deliverables are completed accurately and on schedule while maintaining strict adherence to quality standards and regulatory requirements. This includes overseeing project timelines, coordinating cross-functional teams, and implementing best practices to optimize efficiency and mitigate risks. Additionally, the role will require close collaboration with stakeholders to gather requirements, provide regular updates, and address any potential issues proactively. Candidates must possess relevant experience in [specific field/industry], strong analytical and problem-solving skills, and the ability to manage multiple priorities in a fast-paced environment.
We ensure the delivery of accurate, up-to-date, and dependable data sourced from the Ellis system, program dashboards, and field implementation reports.
Actively monitor performance to ensure alignment with the project results framework targets.
We develop and analyze evidence to guide the design of programs, inform policy discussions, and support scalability efforts.
Continuous improvement and agile program management are essential to this role, requiring a commitment to ongoing professional development and flexible oversight of initiatives.
Offer expert technical support to 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.
Craft compelling presentations and visual materials to showcase performance metrics and achievements for donor updates and key engagements with government stakeholders.
Oversee and execute critical duties encompassing strategic planning, team leadership, and operational efficiency to ensure organizational objectives are met. Lead cross-functional initiatives, fostering collaboration and innovation while maintaining high performance standards. Develop and implement policies and procedures to streamline processes and enhance productivity. Monitor key performance indicators to assess progress and drive continuous improvement. Serve as a primary liaison between senior management and departmental teams, facilitating clear communication and alignment with company goals. Ensure compliance with industry regulations and internal policies, mitigating risks and upholding accountability. Provide mentorship and professional development opportunities to cultivate a high-performing workforce.
Strategic Leadership in Monitoring, Evaluation, and Learning (MEL):
Direct the creation, enhancement, and implementation of the project’s Monitoring, Evaluation, and Learning (MEL) framework, theory of change, and results measurement strategy to ensure alignment with organizational objectives and stakeholder needs.
Ensure MEL systems are fully compliant with donor specifications and integrated with national reporting frameworks.
Ensure seamless coordination among supply chain, financing, and service delivery data streams.
Design and develop scalable system architectures and data frameworks to optimize performance, reliability, and efficiency. Establish robust data models, integration pipelines, and storage solutions to support business operations. Ensure adherence to industry best practices and compliance standards in data governance, security, and privacy. Collaborate with cross-functional teams to translate business requirements into technical solutions, aligning system designs with organizational objectives.
Spearhead the development and implementation of comprehensive data systems, overseeing the entire lifecycle from design through deployment.
Data collection methods encompass both digital platforms and traditional paper-based formats, ensuring comprehensive and flexible data acquisition across various operational contexts.
Develop and maintain dynamic dashboards to visualize program indicator metrics, ensuring real-time monitoring and analysis of performance data. Design interactive reports that highlight key trends, deviations, and achievements to support data-driven decision-making. Collaborate with cross-functional teams to align dashboard functionalities with program objectives and stakeholder needs. Validate data accuracy and integrity through systematic checks and quality assurance protocols. Provide regular updates to stakeholders, delivering clear insights and actionable recommendations based on dashboard findings.
Develop and maintain real-time dashboards and performance tracking systems to provide immediate visibility into key metrics and operational efficiency.
Facilitate the smooth and efficient integration of the system with NHL MIS and Ellis platforms.
Data Management & Quality Assurance: Responsible for ensuring accurate, consistent, and reliable data integrity across systems, databases, and reporting mechanisms, implementing robust validation protocols to mitigate errors and inconsistencies. Develops and enforces standardized data governance policies, including metadata management, data lineage tracking, and compliance with regulatory standards. Conducts thorough audits and quality checks to identify discrepancies, correct anomalies, and enhance overall data reliability. Collaborates with cross-functional teams to establish best practices for data collection, storage, and processing, ensuring alignment with organizational objectives and industry benchmarks.
Develop and enforce robust data governance frameworks to ensure consistency and compliance across all organizational tiers.
Conduct comprehensive Data Quality Assessments (Dias) and execute validation exercises to ensure accuracy and integrity of data.
Perform regular on-site inspections and verification visits to ensure compliance and accuracy.
Verify the consistency and reliability of data across multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Performance monitoring involves tracking and analyzing key performance indicators to assess the effectiveness and efficiency of operations. This includes generating comprehensive reports that provide insights into performance trends, identifying areas for improvement, and ensuring alignment with organizational goals. Strong analytical skills and attention to detail are essential for interpreting data accurately and presenting actionable findings.
Track and monitor critical program metrics to assess performance and identify trends, ensuring data-driven decision-making and continuous improvement. This involves analyzing key indicators meticulously to evaluate effectiveness, pinpoint areas requiring attention, and support strategic initiatives with actionable insights.
MNH commodity stock levels, consumption patterns, and stock out rates are meticulously monitored to ensure optimal inventory management and supply chain efficiency. This involves analyzing real-time data to identify trends, forecast demand, and mitigate potential shortages. By tracking these metrics, the role aims to maintain adequate stock levels, reduce waste, and enhance operational responsiveness. Regular reporting and data-driven insights will support strategic decision-making to align supply with demand.
Ensure high order fill rates, accurate facility reporting, and efficient order turnaround times to maintain operational excellence and customer satisfaction.
Ensures DRF budgeting and replenishment activities align with established targets, tracking performance and reporting outcomes consistently.
Adoption, utilization, reporting completeness, and timeliness of NHL MIS across states must be ensured to maintain high standards of data integrity and operational efficiency.
Prepare monthly, quarterly, and annual reports to provide comprehensive insights and performance metrics.
Prepare comprehensive donor updates, technical briefs, and executive dashboards to support informed leadership decision-making.
Facilitates ongoing learning initiatives, adapts strategies to evolving requirements, and oversees the management of organizational knowledge to enhance efficiency and innovation.
Conduct quarterly data review and learning sessions in collaboration with technical partners, including FIELD and C4SD.
Produce practical recommendations to inform program modifications, advocate for policy changes, and optimize resource distribution.
Document and share effective strategies, key insights, and practical examples to reinforce organizational learning and continuous improvement.
Conduct thorough evaluations and research to gather, analyze, and interpret data, ensuring informed decision-making and strategic insights.
Lead and oversee the strategic direction and operational execution of all project activities, ensuring seamless collaboration across teams and departments. Serve as the primary point of contact for stakeholders, facilitating clear communication and alignment to meet organizational goals. Manage resources, timelines, and deliverables with precision to drive project success and maintain high performance standards.
Baseline, intermediate, and final evaluations are conducted to measure progress and outcomes throughout the project lifecycle. These assessments ensure that data-driven insights are gathered at critical stages, enabling informed decision-making and strategic adjustments as needed. Each evaluation phase involves thorough data collection, analysis, and reporting assessing performance against established benchmarks and objectives.
Routine monitoring tasks and specialized investigations are conducted to systematically gather and analyze data, ensuring ongoing assessment and evaluation of performance metrics. Additionally, targeted research initiatives are undertaken to delve into specific areas of interest, providing deeper insights and actionable intelligence for informed decision-making and strategic planning.
Facilitate the development and execution of project evaluations with an emphasis on:
We oversee comprehensive commodity logistics data, handling every phase from initial collection to final delivery. This involves meticulously tracking movement, storage, and transactions to ensure seamless operations throughout the supply chain. Our team manages data accuracy, analyzes trends, and generates insights to optimize efficiency and compliance. Strong attention to detail, proficiency in data systems, and the ability to interpret complex logistics information are essential. Additionally, collaboration with cross-functional teams and adherence to regulatory standards are critical to our success.
Professionals in this role are responsible for managing budgeting, allocation, and replenishment metrics within the DRF framework. They will analyze financial data to ensure efficient distribution of resources, forecast replenishment needs, and optimize budget utilization to align with organizational goals. Strong analytical skills and experience in financial planning are essential, along with proficiency in relevant software tools to support data-driven decision-making.
LMIS digitization and uptake
Conduct thorough assessments of trends and outcomes to ensure rigorous analysis.
Capacity building and mentorship initiatives form a core component of this role, focusing on enhancing the skills, knowledge, and competencies of individuals and teams to drive sustainable performance improvements. The position involves designing and delivering tailored training programs, providing one-on-one coaching, and fostering a culture of continuous learning and professional growth within the organization. Responsibilities include assessing development needs, creating customized mentorship plans, and measuring the impact of capacity-building efforts to ensure alignment with strategic objectives. Candidates should possess strong facilitation and interpersonal skills, along with experience in adult learning methodologies and change management to effectively support and empower teams.
Supervise the development of capabilities among state and Local Government Area Monitoring and Evaluation officials and health facility personnel.
Develop comprehensive training and mentorship resources covering the following areas:
Data compilation and dissemination of findings are essential duties within this role. Candidates must possess expertise in gathering relevant information and preparing accurate reports to support organizational decision-making processes. Proficiency in analytical tools and data visualization software is required to ensure clarity and precision in reporting outcomes. Strong attention to detail and the ability to synthesize complex data into actionable insights are critical for success in this position.
Professionals in this role utilize data to inform and guide strategic decisions, ensuring that organizational choices are grounded in empirical evidence and insights. They analyze complex datasets to identify trends, patterns, and key performance indicators, translating these findings into actionable recommendations for leadership and stakeholders. By leveraging advanced analytical tools and methodologies, they enhance decision-making processes, fostering efficiency, accuracy, and competitive advantage. This position requires a strong foundation in data interpretation, critical thinking, and proficiency in relevant software applications to drive informed business outcomes.
The candidate will be responsible for maintaining, updating, and ensuring the accuracy of LUIS and DRF data systems, which are critical for tracking and reporting logistics and supply chain information. Proficiency in navigating these systems, troubleshooting issues, and generating reports is essential to support decision-making processes. Additionally, the role requires a strong attention to detail to verify data integrity and compliance with established protocols. Experience with data management and a solid understanding of supply chain operations are highly desirable.
Liaising with partners and stakeholders represents a critical component of this role, facilitating seamless communication and alignment across all collaborative initiatives.
Coordinate MEL (Monitoring, Evaluation, and Learning) activities for the project in alignment with the C4SD and FIELD initiatives to ensure cohesive implementation and strategic synergy.
Join collaborative data review sessions and cross-learning forums to exchange insights and best practices.
Offer valuable technical expertise to inform the formulation of policies, support advocacy initiatives, and evaluate program design proposals.
Key Performance Indicators (KPIs) are quantifiable metrics employed to evaluate the efficiency and effectiveness of an organization’s processes, projects, or individuals in achieving strategic objectives. These indicators serve as critical benchmarks for measuring performance against predefined targets, enabling data-driven decision-making and continuous improvement across various operational functions. By tracking KPIs, businesses can identify trends, assess progress, and pinpoint areas requiring intervention or optimization to align with broader organizational goals.
The punctuality and precision of Monitoring, Evaluation, and Learning (MEL) reports are essential to the role, ensuring data-driven insights are delivered promptly and accurately. A strong emphasis is placed on maintaining high standards in report generation, analysis, and interpretation to support informed decision-making. Applicants must demonstrate meticulous attention to detail, adherence to deadlines, and the ability to convey complex information clearly and concisely. Proficiency in relevant software and methodologies for MEL is required to uphold the integrity and utility of the reports produced.
Ensuring data accuracy and completeness across all states is essential. This role requires meticulous attention to detail to validate information and verify that all required data points are captured without omission. Candidates must be proficient in identifying discrepancies and correcting errors to maintain high standards of data integrity.
Significant enhancements are anticipated in critical performance metrics, including stock out rates, reporting rates, and DRF functionality.
Strengthening the utilization of data for informed decision-making at both state and facility levels is essential to enhance operational efficiency and strategic outcomes. This involves systematically collecting, analyzing, and interpreting data to identify trends, measure performance, and address gaps. Effective data use empowers leaders to allocate resources efficiently, implement targeted interventions, and drive continuous improvement in service delivery. By fostering a culture of evidence-based decision-making, organizations can achieve greater accountability and measurable progress toward their objectives.
Experts from MEL (Monitoring, Evaluation, and Learning) and associated partners will focus on enhancing their capabilities to deliver more effective and efficient results.
Seeking a highly skilled professional with a proven track record in [specific field/industry], complemented by a strong educational background in [relevant degree/discipline]. The ideal candidate must possess [X years] of hands-on experience in [key responsibilities], demonstrating expertise in [specific skills/tools]. Proficiency in [additional technical or soft skills] is required, along with the ability to [specific capability, e.g., lead cross-functional teams]. Additionally, candidates should exhibit exceptional problem-solving acumen and a commitment to continuous learning in a dynamic work environment.
Education: Applicants must possess a bachelor’s degree or higher in a relevant field from an accredited institution. Advanced degrees or specialized certifications are preferred for certain roles. Equivalent professional experience may be considered in place of formal education, subject to approval.
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 highly preferred for this position.
With experience in [field/industry], candidates should possess [X] years of relevant expertise, including [specific skills or achievements]. Proficiency in [tools/technologies] is essential, along with a strong background in [relevant areas]. The ideal candidate will demonstrate a track record of [specific accomplishments], such as [example], and exhibit exceptional problem-solving abilities. Familiarity with [industry standards or methodologies] is highly desirable, as is the capacity to work both independently and collaboratively in a fast-paced environment.
With a minimum of five years of progressively responsible experience in Monitoring, Evaluation, and Learning (MEL), including demonstrated leadership in a supervisory capacity, the ideal candidate will bring a strong foundation to this role.
Professionals with a strong track record in overseeing Monitoring, Evaluation, and Learning (MEL) systems for projects funded by prominent donors such as the Gates Foundation, USAID, and the Global Fund are encouraged to apply.
Accomplished professionals with a demonstrated ability to execute extensive health sector initiatives spanning multiple states or large-scale projects are encouraged to apply.
Professionals with a background in enhancing health systems or managing supply chain and commodity programs are encouraged to apply. Expertise in these areas is highly valued for this role, as it involves contributing to the improvement of healthcare delivery and ensuring the efficient distribution of essential medical resources. Candidates should demonstrate relevant experience in designing, implementing, or evaluating initiatives that strengthen health infrastructure or streamline supply chain operations.
Technical Expertise: Demonstrates advanced proficiency in relevant technical domains, including software development, systems engineering, or specialized tool sets. Applies in-depth knowledge of programming languages, frameworks, and methodologies to design, implement, and optimize solutions. Maintains awareness of emerging technologies and industry trends to enhance performance and innovation. Possesses strong analytical skills to troubleshoot complex issues and deliver high-quality technical deliverables. Collaborates effectively with cross-functional teams to ensure alignment with project objectives and technical standards.
Proficiency in the use of
Data analytics and visualization tools such as Excel, Power BI, and Tableau
DHIS2, along with NHL MIS or Ellis, serves as a comprehensive platform for health and logistics management, facilitating data-driven decision-making in healthcare systems. This role requires expertise in implementing, configuring, and maintaining these systems to ensure seamless data collection, analysis, and reporting. Candidates must possess proficiency in DHIS2, along with a strong background in health information systems or logistics management, and demonstrate problem-solving skills to address technical challenges. Responsibilities include system administration, user training, and collaboration with stakeholders to optimize system performance and data integrity.
Mobile data collection platforms such as OK, KoboToolbox, and Comm Care are required for this role, with hands-on experience in one or more of these tools being essential. The successful candidate will leverage these platforms to design, deploy, and manage digital surveys, ensuring accurate and efficient data collection in field operations. Proficiency in configuring data forms, troubleshooting technical issues, and training field teams on tool usage will be critical to the position. Additionally, the role involves maintaining data integrity, analyzing collected data, and generating reports to support decision-making processes.
Strong background in and comprehensive understanding of [relevant subject or skill, e.g., software development, financial analysis, project management, etc.] is essential for this role. Proficiency in [specific tools, technologies, or methodologies, e.g., Python, data visualization, Agile/Scrum] is required, along with the ability to apply technical expertise to solve complex problems. Applicants should demonstrate hands-on experience in [key responsibilities, e.g., system design, financial reporting, team leadership] and possess strong analytical and problem-solving skills. Familiarity with [industry standards, regulations, or frameworks, if applicable] is a plus.
The organization will establish and oversee results frameworks and systematically track key performance indicators to measure progress and outcomes effectively. This role involves developing clear metrics and frameworks that align with strategic objectives, ensuring data collection processes are robust and reliable. Responsibilities include monitoring performance against targets, analyzing trends, and providing actionable insights to inform decision-making. Proficiency in data management tools and analytical methodologies is essential to accurately assess and report on organizational achievements.
Data quality assurance methodologies encompass systematic processes and frameworks designed to validate, monitor, and enhance the accuracy, consistency, and reliability of data across various systems and platforms. These methodologies involve establishing standardized procedures for data collection, entry, processing, and storage, alongside implementing validation checks, error detection mechanisms, and corrective actions to mitigate discrepancies. By leveraging tools such as data profiling, cleansing, and enrichment techniques, organizations can identify anomalies, resolve inconsistencies, and ensure adherence to predefined quality benchmarks. Additionally, these approaches often integrate data governance principles, metadata management, and performance metrics to foster continuous improvement and maintain high standards of data integrity throughout its lifecycle.
DRF systems proficiency and expertise in health financing analytics are highly desirable qualifications for this role.
Core competencies include a robust understanding of data analysis principles, exceptional problem-solving abilities, and advanced proficiency in relevant software tools. Candidates must demonstrate strong communication skills to convey complex information effectively and collaborate seamlessly across teams. Leadership qualities are essential for guiding projects, while adaptability ensures success in dynamic environments. Experience in industry-specific methodologies and a commitment to continuous professional development are also required.
Proficient in analytical reasoning and strategic planning are essential for this role, along with the ability to evaluate complex information effectively. Demonstrated capacity for structured problem-solving and forward-thinking decision-making will be critical to success in this position.
Proven expertise in analyzing complex datasets and presenting insights through clear, impactful visualizations is required.
We seek individuals who demonstrate unwavering integrity and meticulous attention to detail in all aspects of their work.
Demonstrates exceptional leadership capabilities, fostering team growth through effective coaching and cohesive management strategies.
Possesses exceptional interpersonal and stakeholder management abilities, enabling effective interaction and collaboration with diverse groups. Demonstrates a keen aptitude for articulating ideas clearly, resolving conflicts diplomatically, and fostering productive relationships to achieve mutual objectives.
Demonstrated capability to function effectively within intricate, multi-party collaborative frameworks.
Qualifications
BA/BSc/HND
Experience Required
5 years
