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 supported health facilities. This will be accomplished through collaborative efforts involving multiple stakeholders, including government agencies such as the Smog, Spicas, DMA/CMS, health facilities, and partners including FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI, among others. The initiative aims to sustainably achieve key objectives such as: ensuring efficient last-mile delivery of MNH commodities to facilities, strengthening states’ capacity to plan, finance, and implement last-mile distribution, digitizing state-level logistics management information systems (LUIS) to enable real-time visibility of logistics data, implementing consumption-driven forecasting and quantification of MNH bundle commodities, and reinforcing drug revolving fund (DRF) programs to guarantee the continuous replenishment of MNH commodities.
The initiative seeks to enhance affordability of bundled Maternal, Newborn, and Child Health (MNCH) services for target populations by utilizing established public and donor-funded financing frameworks that safeguard women and families from financial vulnerabilities. These mechanisms encompass national and subnational health insurance programs, complimentary or subsidized MNCH services integrated within the BHCPF 2.0 and HOPE-PHC initiatives, as well as state-level free MNCH programs where applicable.
In this role, you will be responsible for [specific responsibilities mentioned in the original] while ensuring adherence to [specific requirements from the original]. The ideal candidate will possess [key qualifications from the original], along with a proven ability to [relevant skills from the original]. Your primary duties will include [job duties from the original], with a focus on [specific goals or outcomes from the original]. Collaboration with [teams or departments from the original] will be essential to achieve [stated objectives from the original]. Additionally, you will be expected to [any additional responsibilities from the original], demonstrating expertise in [specific area from the original].
The Senior MEL Officer will lead the strategic and operational aspects of the project’s Monitoring, Evaluation, and Learning (MEL) system, overseeing its design, implementation, and ongoing enhancement.
This role requires serving as a pivotal liaison, establishing seamless connections between data systems, including the National Health Logistics Management Information System (NHL MIS) and program dashboards, with strategic programmatic decision-making at both the central and state levels across the five designated focus states.
The position will provide direct oversight of the Monitoring, Evaluation, and Learning (MEL) Analyst and the State Logistics Data Analyst, in addition to indirect supervision of State Technical Assistants.
The position will be responsible for guaranteeing that all objectives are consistently met, with a strong emphasis on precision and efficiency. Key responsibilities include upholding high standards of quality, managing critical processes, and delivering results that align with organizational goals. The successful candidate will need to demonstrate proficiency in relevant tools and methodologies, as well as the ability to identify and address potential challenges proactively. Additionally, the role requires a commitment to continuous improvement and adherence to established policies and procedures.
High-quality, accurate, and up-to-date data sourced from Ellis, program dashboards, and field implementation reports are essential for maintaining robust monitoring and evaluation. Dependable reports generated from these systems support informed decision-making and ensure program effectiveness, with timely data access being critical for operational success.
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The individual will be responsible for continuously monitoring project progress to ensure alignment with the established results framework targets.
Evidence generation serves as the foundation for informing program design, driving policy engagement, and facilitating scalable solutions.
Continuous learning and adaptive program management are essential to ensure ongoing improvement and flexibility in program execution. Professionals in this role must stay current with industry trends and best practices while adjusting strategies to meet evolving needs. They oversee program development, implementation, and evaluation to drive efficiency and achieve strategic objectives.
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 performance visualization decks and supporting resources tailored for donor updates and government stakeholder engagements.
Oversee critical operational duties encompassing strategic planning, team leadership, and performance optimization to drive organizational success. Execute comprehensive project management, ensuring alignment with company objectives while fostering innovation and efficiency. Collaborate cross-functionally to implement best practices, mitigate risks, and enhance productivity across departments. Monitor key performance indicators (KPIs) to assess progress, identify gaps, and implement corrective measures. Develop and maintain robust policies, procedures, and reporting frameworks to ensure compliance and accountability.
Strategic Monitoring, Evaluation, and Learning (MEL) Leadership involves spearheading the design, implementation, and oversight of robust MEL frameworks to drive data-informed decision-making across programs. This role demands expertise in establishing performance indicators, conducting rigorous assessments, and ensuring alignment with organizational objectives. Responsibilities include cultivating partnerships with stakeholders, fostering a culture of continuous improvement, and translating complex data into actionable insights. Qualified candidates will possess advanced analytical skills, proficiency in MEL methodologies, and a proven track record in leading strategic initiatives that enhance program effectiveness and accountability.
Spearhead the creation and continuous enhancement of the project’s Monitoring, Evaluation, and Learning (MEL) framework, theory of change, and results measurement plan.
Ensure MEL systems are fully compliant with donor stipulations and harmonized with national reporting frameworks.
Ensure seamless integration of data streams spanning supply chain operations, financial processes, and service delivery mechanisms.
Design and implement scalable system architectures and data frameworks, ensuring they meet both current and future business requirements. Develop robust data models and structures that optimize performance, reliability, and security while supporting efficient data flow and integration across diverse platforms. Collaborate with cross-functional teams to define technical specifications, establish data governance policies, and align architectural solutions with organizational objectives. Stay abreast of emerging technologies and industry trends to drive innovation and enhance data-driven decision-making processes.
Spearhead the architecture, development, and implementation of comprehensive data systems from inception to deployment, ensuring seamless integration and operational efficiency throughout the entire lifecycle.
Data collection tools, including both digital and paper-based formats, are utilized to gather necessary information efficiently and accurately.
We are seeking a skilled professional to oversee the development and maintenance of program indicator tracking dashboards, ensuring accurate data representation and real-time monitoring of key performance metrics. This role involves designing intuitive, user-friendly interfaces to facilitate data interpretation for stakeholders, as well as configuring automated data pipelines to streamline reporting processes. Proficiency in dashboard development tools (e.g., Power BI, Tableau) and strong analytical skills are essential, along with the ability to collaborate with cross-functional teams to align dashboards with organizational objectives. Responsibilities include data validation, trend analysis, and generating actionable insights to support data-driven decision-making across programs. Candidates must have prior experience in similar roles, with a deep understanding of data visualization best practices.
Develop and oversee dynamic dashboards and real-time performance monitoring tools to provide immediate insights into key metrics and operational efficiency. Ensure these systems deliver accurate, up-to-the-minute data visualization and analytics to support informed decision-making across the organization. Implement robust tracking mechanisms to monitor progress, identify trends, and highlight areas for improvement, enabling proactive adjustments and strategic planning. Maintain the integrity, accessibility, and usability of these platforms to empower stakeholders with actionable intelligence.
Oversee the flawless incorporation of NHL MIS and Ellis to maintain uninterrupted functionality and data synchronization across integrated systems.
Data Management & Quality Assurance involves ensuring the accuracy, consistency, and reliability of organizational data through meticulous validation, standardization, and governance processes. This role demands a keen attention to detail to identify discrepancies, implement corrective measures, and uphold data integrity across systems. Proficiency in data quality tools, methodologies, and best practices, along with a strong understanding of database structures and compliance standards, is essential. Additionally, the position requires collaboration with stakeholders to establish data quality frameworks, monitor performance metrics, and drive continuous improvement initiatives to support informed decision-making.
Develop and enforce comprehensive data governance frameworks to ensure consistent compliance at every organizational level.
Conduct thorough Data Quality Assessments (Dias) and validation exercises as part of your responsibilities.
Perform regular, ad hoc inspections and validation visits to ensure compliance and accuracy.
Verify the alignment and consistency of information across multiple data sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Oversee the tracking and analysis of performance metrics to ensure alignment with organizational goals, compiling data into comprehensive reports for stakeholders to evaluate progress and make informed decisions.
Monitor and evaluate essential program metrics, encompassing vital performance indicators, to assess progress against established benchmarks and derive actionable insights for strategic decision-making.
MNH commodity stock levels, consumption patterns, and stock out rates are monitored and analyzed regularly to ensure optimal inventory management and supply chain efficiency.
Achieving high order fill rates, maintaining accurate facility reporting, and ensuring prompt order turnaround times are critical objectives for this role. The position requires consistent monitoring and optimization of these metrics to enhance operational efficiency and customer satisfaction. Accurate and timely reporting of facility performance is essential, as is the ability to meet or exceed established turnaround time standards.
Tracks DRF budgeting and replenishment performance relative to established targets.
The effectiveness of NHL MIS adoption, utilization, and reporting completeness and timeliness must be ensured across all states.
Develop comprehensive monthly, quarterly, and annual reports to provide detailed insights and data analysis.
Prepare comprehensive donor updates, technical briefs, and executive dashboards to support informed leadership decision-making.
We are seeking a candidate who thrives in environments that demand continuous learning, adaptability, and effective knowledge management. The ideal professional will demonstrate a commitment to personal and organizational growth through ongoing education and the ability to adjust strategies in response to evolving challenges. Responsibilities include capturing, organizing, and disseminating knowledge to enhance team performance and decision-making, ensuring that insights are leveraged to drive innovation and efficiency. The role requires a proactive approach to staying current with industry trends, integrating best practices, and fostering a culture of shared learning within the organization.
Conduct quarterly data review and learning sessions in collaboration with technical partners, including FIELD and C4SD.
Craft data-driven recommendations to inform strategic program modifications, advocate for policy enhancements, and optimize resource distribution.
Compile, share, and promote proven methodologies, key insights, documented experiences, illustrative case studies, and motivational success narratives to drive organizational improvement and knowledge exchange.
Conduct thorough evaluations and research initiatives to assess program effectiveness, gather relevant data, and analyze outcomes to inform strategic decision-making and continuous improvement efforts.
Lead and coordinate:
Conducting comprehensive evaluations at the beginning, mid-point, and conclusion of a program or initiative enables the measurement of progress, impact, and overall effectiveness. These structured assessments provide critical data to inform strategic adjustments, ensure accountability, and demonstrate outcomes to stakeholders. Regular monitoring through baseline, midline, and Edline evaluations helps identify gaps, optimize resource allocation, and validate the success of interventions.
Regularly conducting monitoring activities and performing specialized investigations are essential components of this role.
Support the execution of project evaluations with an emphasis on:
Handle the full lifecycle of commodity logistics data, from initial collection through final delivery, ensuring accuracy, consistency, and compliance with industry standards at every stage.
Our organization is seeking a skilled professional responsible for managing, analyzing, and optimizing budgeting, allocation, and replenishment metrics using Django REST Framework (DRF). This role requires expertise in financial data tracking, resource distribution strategies, and inventory replenishment processes to ensure efficient operations and cost-effective decision-making. The ideal candidate will demonstrate proficiency in Debased systems, data visualization tools, and performance measurement methodologies to provide actionable insights and maintain budgetary control.
LMIS digitization and uptake
Conduct thorough assessments of trends and outcomes to derive meaningful insights and drive informed decision-making.
Capacity-building and Mentorship: You will be responsible for designing, implementing, and evaluating programs aimed at strengthening the skills, knowledge, and capabilities of individuals, teams, and organizations. This involves delivering targeted training sessions, providing ongoing guidance and support, and fostering a culture of continuous learning and development. Additionally, you will mentor colleagues and partners to enhance their professional growth, ensuring alignment with strategic objectives and best practices in the field.
Supervise the enhancement of capabilities for state and local government area monitoring and evaluation personnel, as well as health facility staff.
Devising comprehensive training and mentorship resources encompassing curriculum design, instructional materials, and ongoing support frameworks to facilitate professional growth and skill enhancement.
Data compilation and dissemination of findings are essential duties, requiring meticulous attention to detail and rigorous adherence to accuracy. Proficiency in data management tools and software is mandatory, along with the ability to analyze trends and present insights clearly. Strong organizational skills and the capacity to meet deadlines in a fast-paced environment are critical. Familiarity with reporting standards and regulatory guidelines ensures compliance and reliability in all deliverables.
Data plays a critical role in shaping informed decision-making processes across organizations. Professionals in this field must possess strong analytical skills to interpret complex datasets, identify trends, and derive actionable insights. They are responsible for ensuring the accuracy, integrity, and security of data while adhering to relevant regulations and ethical standards. Collaboration with cross-functional teams is essential to translate data findings into strategic initiatives. Additionally, proficiency in data visualization tools and statistical analysis software is often required to effectively communicate insights to stakeholders.
The successful candidate will be responsible for managing and maintaining the LUIS and DRF data systems, ensuring their accuracy, reliability, and security. This role requires strong technical expertise in data management, proficiency in system administration, and a deep understanding of data reporting frameworks. Key responsibilities include overseeing system performance, troubleshooting technical issues, implementing data integrity measures, and ensuring compliance with organizational and regulatory standards. Additionally, the individual will collaborate with cross-functional teams to optimize system functionality and support data-driven decision-making processes.
Liaising with partners and stakeholders represents a core responsibility, necessitating robust communication and collaborative engagement to align objectives and facilitate seamless operations. This role demands the ability to manage relationships, address inquiries, and ensure alignment with strategic goals across diverse groups. Strong interpersonal and negotiation skills are essential to navigate varying interests and maintain productive partnerships.
Cooperate with C4SD and FIELD to manage MEL activities for the project seamlessly.
Engage in collaborative data review sessions and interdisciplinary learning forums to exchange insights and best practices.
Offer expert technical guidance to inform the formulation of policies, advocacy initiatives, and program design assessments.
Track and measure performance through key performance indicators (KPIs) to evaluate operational efficiency, productivity, and overall business impact. These metrics provide data-driven insights to assess progress toward strategic goals, identify areas for improvement, and ensure alignment with organizational objectives. Regular monitoring of KPIs enables informed decision-making, supports accountability, and drives continuous enhancement of processes and outcomes.
Timely and high-quality preparation of MEL reports is essential for ensuring accurate data collection, analysis, and reporting. Proficiency in maintaining up-to-date records and delivering comprehensive reports within specified deadlines is required. Strong attention to detail and the ability to interpret data effectively are critical for producing reliable and insightful MEL outputs. Experience with MEL frameworks, methodologies, and reporting tools is preferred, along with a commitment to continuous improvement in monitoring and evaluation processes.
Ensures the precision and thoroughness of data across all applicable states.
The enhancement of critical metrics, such as stock out rates, reporting rates, and DRF functionality, is essential to achieving operational excellence.
Enhance the effectiveness of data utilization for strategic decision-making processes at both state and facility levels.
The aim is to enhance the capacity of MEL staff and partners, ensuring they possess the necessary skills and knowledge to fulfill their roles effectively.
Bachelor’s degree in Computer Science, Information Technology, or a related field is required for this role. Candidates must possess at least three years of hands-on experience in software development, with proficiency in programming languages such as Python, Java, or C++. Strong problem-solving abilities and a collaborative mindset are essential for success in this position. Additionally, experience with cloud platforms like AWS or Azure, as well as familiarity with DevOps practices, is highly desirable. Excellent communication skills and the capacity to work effectively in a team-driven environment are also key requirements.
Education:
A Bachelor’s Degree in Statistics, Epidemiology, Public Health, Economics, or a related discipline is required for this role.
A master’s degree is either required or strongly preferred for this position.
Experienced professionals sought to leverage their expertise in a dynamic environment. Candidates must possess a proven track record in their field, with at least [X] years of relevant work experience. Familiarity with industry-standard tools, methodologies, and best practices is essential. Strong problem-solving abilities and adaptability in fast-paced settings are required.
With a minimum of five years of progressively responsible experience in Monitoring, Evaluation, and Learning (MEL), you have demonstrated expertise in this field, including prior leadership in a supervisory capacity.
Professionals with substantial expertise in overseeing Monitoring, Evaluation, and Learning (MEL) frameworks for projects funded by prominent donors such as the Gates Foundation, USAID, and the Global Fund are sought after.
Accomplished professionals with a demonstrated history of designing and executing expansive health sector initiatives spanning multiple states or extensive geographic regions.
Professionals with a background in enhancing health systems or managing supply chain and commodity programs are encouraged to apply. Familiarity with initiatives aimed at improving health infrastructure or optimizing the distribution and availability of health commodities is required.
Technical Expertise: Demonstrates deep knowledge and practical experience in relevant technologies, methodologies, and industry best practices. Requires mastery of specific tools, frameworks, or systems essential to the role, along with the ability to troubleshoot complex issues efficiently. Applicants must show proven expertise in problem-solving, system optimization, and integrating innovative solutions to enhance operational efficiency. Familiarity with emerging trends, compliance standards, and security protocols is also mandatory.
Proficiency in utilizing and navigating various software applications and tools is essential. Familiarity with programming languages such as Python, Java, or C++ is required. Strong problem-solving skills and the ability to troubleshoot technical issues are necessary. Excellent written and verbal communication skills are also mandatory. Teamwork and collaboration are valued, as is the capacity to adapt to evolving technologies and methodologies. A Bachelor’s degree in Computer Science, Engineering, or a related field is preferred. Prior experience in a similar role is advantageous.
Proficient in utilizing advanced data analytics and visualization tools, including Excel, Power BI, and Tableau, to transform raw data into actionable insights.
DHIS2 serves as the foundational platform for both 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, including OK, KoboToolbox, and Comm Care, are required.
Strong expertise in a particular field or discipline is essential. A solid understanding of key concepts and methodologies is required. Proficiency in relevant tools, techniques, and technologies is expected. Familiarity with industry standards and best practices is crucial.
A results framework and indicator tracking system must be developed, implemented, and regularly updated to monitor progress effectively. This role requires proficiency in establishing clear performance metrics, defining measurable indicators, and ensuring data accuracy. Responsibilities include collecting, analyzing, and reporting on key performance data, as well as identifying trends and areas for improvement. Strong analytical skills and attention to detail are essential to maintain the integrity and reliability of the tracking process.
We implement rigorous methodologies to ensure data quality, including validation checks, cleansing processes, and consistency verifications. Our team continuously monitors data integrity, identifies discrepancies, and applies corrective measures to maintain high standards. Additionally, we develop and enforce data governance policies to standardize collection, storage, and reporting practices. Collaboration with cross-functional teams ensures alignment with organizational objectives and regulatory compliance. Proficiency in data quality tools, analytical skills, and attention to detail are essential for success in this role.
DRF systems expertise and proficiency in health financing analytics are strongly preferred qualifications for this role.
Core proficiencies encompass advanced analytical capabilities, strategic problem-solving aptitude, and exceptional communication skills, both written and verbal. A proven track record in project leadership, cross-functional collaboration, and stakeholder management is essential. Proficiency with industry-standard software, data analysis tools, and proficiency in relevant programming languages are required. The ability to adapt to evolving technologies, prioritize tasks effectively, and deliver measurable results under tight deadlines is critical. Demonstrated experience in process optimization, risk assessment, and performance metrics evaluation is highly desirable. Strong interpersonal skills, a customer-centric mindset, and a commitment to continuous professional development are also necessary.
Possesses exceptional analytical prowess and a strategic mindset.
Aptitude for interpreting data with a high degree of accuracy and presenting insights through compelling visualizations serves as a key qualification for this role.
A strong commitment to ethical standards and meticulous attention to detail is required.
Accomplished in guiding teams, fostering leadership development, and cultivating high-performance environments through effective coaching and management strategies.
Proven ability to communicate effectively and engage with stakeholders across various levels is essential.
Demonstrated capability to function effectively within intricate, cross-partner frameworks.
Qualifications
BA/BSc/HND
Experience Required
5 years
