About the MNH-ASSIST Project
The MPH-ASSIST project is designed to enhance the seamless provision, accessibility, utilization, monitoring, and reporting of Maternal and Newborn Health (MNH) bundle commodities within supported health facilities. This objective will be pursued through strategic multi-stakeholder partnerships spanning key Ministries, Departments, and Agencies (MDS), including the Smog, Spicas, DMA/CMS, health facilities, and collaborating organizations such as FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI, among others. The project’s overarching goal is to establish sustainable improvements in the following areas: efficient last-mile delivery (LMD) of MNH commodities to health facilities, strengthened state-level planning, financing, and execution of LMD initiatives, digitalization of state-level logistics management information systems (LUIS) to enable real-time logistics data visibility, adoption of consumption-driven forecasting and quantification for MNH bundle commodities, and reinforcement of Drug Revolving Fund (DRF) programs to ensure uninterrupted replenishment of essential MNH supplies.
The initiative seeks to enhance affordability of these integrated MNH services for beneficiaries by utilizing established government and donor-supported financing mechanisms designed to shield women and their families from financial hardship, such as national and state-level health insurance programs, free or subsidized MNCH services incorporated into BHCPF 2.0 and the HOPE-PHC initiative, and state-specific free MNCH programs where applicable.
Role Summary
The Senior MEL Officer will spearhead the strategic and operational direction of the project’s Monitoring, Evaluation, and Learning framework, overseeing its design, execution, and ongoing enhancement.
The incumbent will serve as a pivotal liaison, connecting data systems—including the 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, as well as indirect oversight of State Technical Assistants.
The position will involve guaranteeing that all assigned tasks are executed with precision and adherence to established standards. It will require maintaining consistent oversight of workflows to confirm compliance with regulatory and organizational protocols. Additionally, the role will be responsible for verifying the accuracy and completeness of deliverables before submission to stakeholders.
Delivering precise, promptly accessible, and dependable data from Ellis, program dashboards, and field implementation reports is essential.
The role involves ongoing evaluation of performance relative to the established project results framework targets to ensure alignment with strategic objectives.
Evidence generation serves as the foundation for shaping program design, informing policy engagement strategies, and facilitating successful scale-up initiatives.
Continuous learning and adaptive program management are essential to ensure ongoing growth and responsiveness in dynamic environments. This role demands a commitment to refining skills and methodologies to effectively oversee and adjust programs as circumstances evolve. Candidates must demonstrate proficiency in evaluating performance, identifying areas for enhancement, and implementing adaptive strategies to meet evolving objectives. Strong analytical abilities and a proactive approach are critical to navigating challenges and driving continuous improvement in program execution.
Offer expert technical support to both 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.
Craft compelling performance visualization decks and supporting materials tailored for donor updates and government stakeholder engagements.
Oversee and execute core duties encompassing strategic planning, operational management, and cross-functional collaboration to advance organizational objectives. Develop and implement policies, procedures, and performance metrics to ensure efficiency, compliance, and measurable outcomes. Lead and mentor teams through clear communication, delegation, and professional development initiatives. Monitor industry trends, competitive landscapes, and internal processes to identify opportunities for innovation, cost reduction, and growth. Serve as a liaison between departments, stakeholders, and senior leadership to align efforts and drive cohesive decision-making. Prepare and present reports, analyses, and presentations to inform executive leadership and stakeholders of progress, risks, and strategic recommendations.
Provides strategic leadership in Monitoring, Evaluation, and Learning (MEL) to drive organizational growth and effectiveness. Oversees the design, implementation, and management of MEL frameworks, ensuring alignment with program objectives and donor requirements. Guides teams in data collection, analysis, and utilization to inform evidence-based decision-making. Develops and maintains robust MEL systems, including performance indicators, data management protocols, and reporting mechanisms. Collaborates with stakeholders to foster a culture of continuous learning and adaptive management. Ensures MEL activities comply with best practices, ethical standards, and regulatory frameworks. Facilitates capacity-building initiatives to strengthen MEL competencies across the organization.
Spearhead the creation and ongoing enhancement of the project’s Monitoring, Evaluation, and Learning (MEL) framework, theory of change, and results measurement strategy to ensure alignment with objectives and measurable outcomes.
Ensure MEL systems comply with donor-specific requirements and align with national reporting frameworks.
Facilitate seamless coordination and alignment among supply chain, financing, and service delivery data streams to enhance operational efficiency and data integrity.
Design and architect robust system frameworks and data infrastructures to ensure optimal performance, scalability, and reliability. Develop comprehensive data models, schemas, and pipelines to facilitate efficient data processing, storage, and retrieval. Implement strategies for data governance, quality assurance, and security to maintain integrity and compliance with organizational standards. Collaborate with cross-functional teams to align system designs with business objectives and technical requirements.
Spearhead the conception, architecture, and implementation of comprehensive data systems from inception to deployment, ensuring seamless integration and operational readiness.
Data collection tools encompass both digital and paper-based formats, serving as essential instruments for gathering and recording information efficiently and accurately. These tools facilitate the systematic acquisition of data, ensuring that information is captured in a structured manner for subsequent analysis and decision-making purposes.
We are seeking a results-driven individual to oversee the development and maintenance of our Program Indicator tracking dashboards, ensuring real-time data visibility and actionable insights. The role requires a meticulous professional with strong analytical skills, proficiency in data visualization tools, and the ability to translate complex metrics into clear, strategic reports. Key responsibilities include designing user-friendly interfaces, monitoring dashboard performance, and collaborating with cross-functional teams to align data outputs with organizational goals. Candidates must possess a minimum of three years of experience in dashboard development, a degree in a data-related field, and expertise in tools such as Tableau, Power BI, or similar platforms.
Dynamic, real-time performance monitoring dashboards and tracking systems are developed and maintained to provide actionable insights and continuous visibility into operational metrics, ensuring stakeholders can make informed, data-driven decisions promptly.
Ensure the flawless integration of NHL MIS and Ellis systems.
Oversee the integrity, accuracy, and consistency of data assets, ensuring adherence to established standards and protocols. Implement and maintain robust quality assurance frameworks to validate data inputs, transformations, and outputs across systems. Identify discrepancies, resolve anomalies, and enforce data governance policies to mitigate risks and enhance reliability. Collaborate with cross-functional teams to define data quality metrics, establish validation procedures, and drive continuous improvement initiatives.
Develop and enforce comprehensive data governance standards at every organizational tier to ensure consistent compliance and alignment.
Conduct Data Quality Assessments (Dias) and perform comprehensive validation exercises to ensure data integrity and accuracy.
Perform regular, unannounced spot-checks and verification visits to ensure compliance and accuracy.
Verify the consistency and accuracy of data by cross-referencing multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Performance monitoring and reporting involves systematically tracking and analyzing key performance indicators to evaluate progress toward organizational objectives. This role requires compiling data, generating insightful reports, and presenting findings to stakeholders to support data-driven decision-making. Proficiency in analytical tools, attention to detail, and strong communication skills are essential to ensure accurate and timely reporting. Responsibilities include identifying trends, measuring performance against benchmarks, and recommending improvements based on data insights.
Track and monitor essential program metrics, assessing their performance and identifying trends to ensure data-driven decision-making. Evaluate critical indicators to measure progress, efficiency, and effectiveness, providing actionable insights to stakeholders. This role requires a meticulous approach to data collection, analysis, and reporting, ensuring accuracy and relevance in all evaluations.
Monitoring MNH commodity stock levels, analyzing consumption trends, and evaluating stock out rates are critical tasks to ensure the availability of essential reproductive health supplies.
Achieving high order fill rates, ensuring timely facility reporting, and maintaining efficient order turnaround times are critical priorities for this role. Consistently meeting these performance metrics will be essential to supporting operational excellence and customer satisfaction. The position requires a commitment to accuracy, adherence to established timelines, and the ability to deliver measurable results in a fast-paced environment.
Delivers DRF budgeting and replenishment performance in alignment with established targets.
NHL MIS implementation, utilization, reporting completeness, and timeliness must be ensured across all states.
Compile comprehensive monthly, quarterly, and annual reports to provide detailed insights and data-driven summaries for stakeholders.
Prepare executive-level dashboards, technical briefs, and donor updates or reports to support leadership in making informed decisions.
With a focus on fostering continuous learning, flexibility, and the efficient management of organizational knowledge, this role emphasizes the importance of staying current with industry trends, embracing change, and leveraging insights to drive informed decision-making 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.
Capture and circulate key insights, effective methodologies, proven strategies, and impactful success narratives to foster organizational growth and collective learning.
Conduct comprehensive evaluation and research initiatives to analyze performance metrics, identify trends, and assess program effectiveness, ensuring data-driven insights inform strategic decision-making and continuous improvement efforts.
Lead and coordinate:
We conduct baseline, midline, and Edline assessments to evaluate progress and measure outcomes at key stages of our programs. These structured evaluations provide critical data to assess initial conditions, track advancements, and determine final results, ensuring accountability and continuous improvement in our initiatives.
Routine monitoring and special studies encompass the systematic collection, analysis, and evaluation of data to ensure operational efficiency and compliance with established standards. These activities involve identifying trends, assessing performance metrics, and conducting in-depth investigations as needed to address specific challenges or opportunities. Professionals in this role must possess strong analytical skills, attention to detail, and the ability to interpret complex information accurately. Additionally, they are responsible for documenting findings, presenting insights to stakeholders, and recommending evidence-based solutions to enhance processes or mitigate risks.
Support the execution of project evaluations with a focus on:
We oversee the complete lifecycle of commodity logistics data, ensuring seamless integration and accuracy from origin to destination. This involves managing data collection, processing, validation, and analysis to provide reliable insights for decision-making. Strong proficiency in data management systems, analytical tools, and a keen eye for detail are essential. Additionally, experience in commodity trading, logistics coordination, or related fields is highly valued. Responsibilities include maintaining data integrity, generating reports, and collaborating with cross-functional teams to optimize supply chain efficiency.
Responsibilities include overseeing budgeting, allocation, and replenishment metrics within the DRF framework to ensure optimal financial management and resource utilization.
LUIS digitization and implementation are essential for enhancing the efficiency and reach of information systems. This initiative involves converting traditional, paper-based systems into digital formats to streamline data management, improve accuracy, and facilitate quicker decision-making. Key responsibilities include overseeing the transition process, ensuring data integrity, and training staff on new digital tools. Proficiency in data management software and a strong understanding of digital transformation principles are required. Applicants should also demonstrate experience in system integration and the ability to drive user adoption across multiple departments.
Conduct thorough evaluations of trends and outcomes to ensure comprehensive analysis.
Capacity strengthening and mentorship entail empowering individuals and organizations through targeted guidance, skill development, and support to enhance their operational effectiveness and long-term sustainability. This involves designing and implementing tailored training programs, offering one-on-one coaching sessions, and fostering peer learning networks to build institutional and individual capabilities. The role requires a deep understanding of capacity development principles, experience in designing impactful learning interventions, and the ability to measure and evaluate progress to ensure meaningful outcomes. Responsibilities include assessing needs, delivering customized capacity-building initiatives, and cultivating collaborative partnerships to drive continuous improvement and innovation.
Supervise the enhancement of monitoring and evaluation capabilities among state and local government area officials, as well as health facility staff.
Design and create comprehensive training and mentorship resources covering a wide range of topics to support professional growth and skill development.
Data gathering and analysis, along with the preparation of comprehensive reports, are essential duties associated with this position.
Data is leveraged to inform and enhance decision-making processes, ensuring strategic choices are supported by accurate, timely, and relevant insights. Analyzing trends, metrics, and performance indicators enables more informed judgments, reduces uncertainty, and drives operational efficiency. This role emphasizes the critical role of data in shaping policies, optimizing resource allocation, and achieving organizational objectives through evidence-based approaches. Proficiency in data interpretation, visualization tools, and analytical frameworks is essential to translate complex datasets into actionable recommendations.
The successful candidate will manage and maintain the LUIS and DRF data systems, ensuring accuracy, efficiency, and compliance with established protocols. This role requires proficiency in data entry, analysis, and reporting, along with the ability to troubleshoot technical issues and implement system improvements. The incumbent will collaborate with cross-functional teams to optimize data integrity and support informed decision-making processes. Strong analytical skills and attention to detail are essential, as is the ability to work under deadlines and prioritize tasks effectively. Familiarity with relevant software platforms and adherence to data security policies are mandatory requirements for this position.
Partner and stakeholder coordination entails establishing and nurturing strong relationships with key individuals and groups both inside and outside the organization. This role requires consistent engagement with clients, vendors, and internal teams to ensure alignment with strategic goals and seamless project execution. Responsibilities include facilitating communication, resolving conflicts, and advocating for mutually beneficial outcomes, all while maintaining a high level of professionalism and adaptability in dynamic environments.
Coordinate MEL (Monitoring, Evaluation, and Learning) activities for the project in collaboration with C4SD and FIELD to ensure cohesive implementation and alignment of objectives.
Engage actively in collaborative data review sessions and interorganizational learning initiatives to foster shared insights and best practices.
Offer expert technical perspectives to inform policy formulation, advocacy initiatives, and evaluations of program designs.
Key performance indicators (KPIs) serve as a measurable framework to evaluate the effectiveness, efficiency, and success of specific objectives within the organization. These metrics provide critical insights into progress toward strategic goals, enabling data-driven decision-making and continuous improvement. Regular monitoring of KPIs helps identify performance gaps, optimize processes, and ensure alignment with overarching business priorities. By tracking quantifiable outcomes, stakeholders can assess whether operational and tactical initiatives are delivering the intended results.
Ensuring the timely and high-quality preparation of MEL (Monitoring, Evaluation, and Learning) reports is essential. This includes maintaining accuracy, relevance, and adherence to deadlines while meeting organizational standards for reporting. The role requires consistent attention to detail, strong analytical skills, and the ability to synthesize data effectively. Proficiency in relevant reporting tools and methodologies is necessary to produce comprehensive and insightful reports. Collaboration with stakeholders is also required to gather necessary information and validate findings.
Ensuring meticulous accuracy and comprehensive coverage of data for all states.
Significant enhancements in critical metrics—including stock out rates, reporting rates, and DRF functionality—are required.
Strengthening data utilization for informed decision-making across state and facility levels represents a critical objective. This endeavor requires systematic analysis and integration of data to enhance strategic planning and operational efficiency. Key responsibilities include identifying data sources, ensuring data accuracy, and implementing mechanisms to translate insights into actionable strategies. Essential requirements encompass proficiency in data management tools, analytical skills, and a commitment to continuous improvement in data-driven processes.
MEL team members and partners will enhance their skills and capabilities.
Qualifications
Education: Applicants must possess a Bachelor’s degree or higher in a relevant field, or an equivalent combination of education and professional experience. A Master’s degree or specialized certification in a related discipline is strongly preferred. Candidates should demonstrate a commitment to continuous learning and professional development.
A relevant Bachelor’s degree in fields such as Statistics, Epidemiology, Public Health, Economics, or a closely related discipline is required.
A master’s degree is either required or strongly preferred for consideration.
Senior-level candidates must demonstrate extensive, hands-on experience in their field, supported by a proven track record of success in similar roles. A minimum of five years of progressive professional experience is required, with at least three years in a leadership or supervisory capacity. Candidates should possess specialized expertise relevant to the position, along with a history of delivering measurable results in complex projects or operational environments. Experience in cross-functional collaboration, stakeholder management, and strategic problem-solving is highly valued.
Applicants must possess a minimum of five years of progressive experience in Monitoring, Evaluation, and Learning (MEL), along with demonstrated leadership in a supervisory capacity.
Seasoned professionals with extensive backgrounds in overseeing Monitoring, Evaluation, and Learning systems on donor-funded initiatives—including those supported by the Gates Foundation, USAID, and the Global Fund—are encouraged to apply.
Accomplished in executing extensive health sector initiatives spanning multiple states or at a broad scale.
Professionals with a background in enhancing health system frameworks or managing supply chain and commodity initiatives are strongly encouraged to apply. Candidates should possess hands-on experience in improving the resilience and efficiency of healthcare systems or overseeing the procurement, distribution, and management of essential medical supplies and products.
Technical Expertise: Demonstrates comprehensive knowledge and hands-on experience in specialized technical domains, including but not limited to system architecture, software development, network infrastructure, cybersecurity protocols, or data management systems. Applicants should possess proficiency in relevant programming languages, tools, and methodologies, along with the ability to troubleshoot complex technical issues efficiently. Familiarity with industry best practices, emerging technologies, and compliance standards is essential for success in this role. Prior experience in designing, implementing, or optimizing technical solutions is highly desirable.
Proficiency in the use of
Proficient in utilizing advanced data analytics and visualization platforms, including Microsoft Excel, Power BI, and Tableau, to extract meaningful insights and present data-driven findings effectively.
DHIS2, alongside NHL MIS/Ellis, serves as a comprehensive health information system designed to enhance data management and decision-making in healthcare settings. This integrated platform facilitates the collection, analysis, and dissemination of critical health metrics, ensuring real-time monitoring and reporting capabilities. Key responsibilities include maintaining system functionality, troubleshooting technical issues, and providing user support to ensure seamless operations. Proficiency in DHIS2 and NHL MIS/Ellis is essential, along with strong analytical skills and a deep understanding of health information systems. Experience in data visualization, database management, and system administration is highly preferred, enabling effective implementation and optimization of the platform to meet organizational needs.
Mobile data collection platforms such as OK, KoboToolbox, and Comm Care are essential tools for the role, requiring hands-on experience in designing, deploying, and managing digital forms to facilitate accurate and efficient data capture in field settings. Proficiency with these platforms is necessary for streamlining workflows, ensuring data integrity, and enabling real-time monitoring and analysis of collected information. Additionally, the ability to troubleshoot technical issues, customize form configurations, and integrate these tools with broader data management systems is critical for optimizing their functionality and supporting organizational objectives.
Strong proficiency in [specific skill or field] is required, along with a solid understanding of [related areas or tools]. Candidates must demonstrate expertise in [specific tasks or processes] and the ability to apply this knowledge effectively in [relevant contexts]. Familiarity with [specific methodologies, frameworks, or technologies] is strongly preferred, as is experience in [related roles or industries]. The ideal applicant will have a proven track record in [key responsibilities] and the capacity to [specific outcome or achievement].
A robust results framework is employed to systematically monitor and evaluate performance indicators, ensuring alignment with established objectives and facilitating data-driven decision-making throughout the initiative.
Data quality assurance specialists develop and implement systematic approaches to evaluate, monitor, and enhance the accuracy, consistency, and reliability of data assets. They design validation frameworks, conduct audits, and apply corrective measures to address discrepancies, ensuring datasets meet established standards and business objectives. Proficiency in data profiling, cleansing techniques, and quality metrics is essential, along with expertise in tools for data validation and metadata management. Strong analytical skills, attention to detail, and the ability to interpret complex datasets are critical for identifying trends, root causes of errors, and opportunities for process improvement. Collaboration with cross-functional teams, including IT, data engineering, and business stakeholders, is often required to align data quality initiatives with broader organizational goals and compliance requirements.
DRF systems expertise and proficiency in health financing analytics are highly desirable qualifications for this role.
Core Proficiencies: Demonstrated expertise in key operational areas, including strategic planning, cross-functional leadership, and data-driven decision-making. Essential qualifications encompass a minimum of five years in a managerial capacity, proficiency with industry-standard software suites, and a proven track record in process optimization and team development. Responsibilities involve overseeing project execution, ensuring adherence to organizational policies, and fostering a culture of accountability and continuous improvement. Strong communication and analytical skills are required to interpret performance metrics, align team objectives with overarching business goals, and drive sustainable growth.
Demonstrates exceptional analytical prowess and strategic acumen, enabling insightful problem-solving and forward-thinking decision-making across complex challenges.
Proven expertise in interpreting data and creating compelling visualizations is required.
Maintains a high standard of integrity and demonstrates meticulous attention to detail in all professional activities.
Proven ability to lead, mentor, and guide teams effectively, fostering a collaborative and high-performing environment through strong leadership and coaching capabilities.
Skilled in fostering clear communication and effectively engaging stakeholders are essential for this role.
Proven capability to navigate intricate, multi-stakeholder environments effectively.
Qualifications
BA/BSc/HND
Experience Required
5 years
