About the MNH-ASSIST Project
The MPH-ASSIST initiative is designed to enhance the seamless availability, accessibility, utilization, monitoring, and reporting of Maternal and Newborn Health (MNH) bundle commodities across health facilities. This will be accomplished through collaborative efforts involving multiple Ministries, Departments, and Agencies (MDS)—including the Smog, Spicas, DMA/CMS, and health facilities—as well as key partners such as FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI. The project’s long-term objectives include: establishing an efficient last-mile delivery (LMD) system for MNH commodities to facilities; strengthening state-level capabilities in planning, financing, and implementing LMD; digitizing state-level logistics management information systems (LUIS) to enable real-time logistics data visibility; implementing consumption-driven forecasting and quantification of MNH bundle commodities; and reinforcing drug revolving fund (DRF) programs to ensure the continuous replenishment of essential MNH commodities.
The initiative is designed to ensure cost-effective availability of these bundled Maternal, Newborn, and Child Health (MNCH) services to beneficiaries by utilizing established government and donor-funded financing frameworks that safeguard families from financial hardship. These frameworks encompass national and state-level health insurance programs, complimentary or subsidized MNCH services incorporated into the BHCPF 2.0 and HOPE-PHC initiatives, as well as state-specific free MNCH programs where applicable.
The position involves overseeing key operational duties while collaborating closely with cross-functional teams to achieve strategic objectives. Candidates must possess a minimum of five years of relevant experience, strong analytical skills, and proficiency in industry-specific software. Responsibilities include managing project timelines, ensuring compliance with regulatory standards, and providing leadership to a team of professionals. The ideal applicant will demonstrate exceptional problem-solving abilities, adaptability in dynamic environments, and a commitment to continuous improvement. Advanced communication skills and a results-driven mindset are essential for success in this role.
The Senior MEL Officer will lead the project’s Monitoring, Evaluation, and Learning system with strategic vision and operational expertise, overseeing its design, execution, and ongoing enhancement.
The incumbent will serve as a pivotal liaison, bridging data systems—including the National Health Logistics Management Information System (NHL MIS) and program dashboards—with strategic programmatic decision-making at the central level and across the five priority states.
The position will provide direct supervision to the MEL Analyst and State Logistics Data Analyst, as well as oversee indirect reports from State Technical Assistants.
The position will be responsible for ensuring that all required tasks and objectives are consistently met, while maintaining adherence to established policies and procedures. It will oversee critical processes to guarantee compliance with industry standards and regulatory requirements, fostering an environment of efficiency and accountability. Additionally, the role will monitor performance metrics to identify areas for improvement and implement strategic solutions to enhance operational effectiveness.
We require accurate, up-to-date, and dependable data sourced from the electronic Logistics Management Information System (Ellis), program dashboards, and field implementation reports.
We monitor performance continuously to ensure alignment with the project’s results framework targets.
To develop evidence that informs program design, policy engagement, and scaling initiatives.
Continuous learning and adaptive program management are essential to this role, requiring professionals to stay current with industry trends and best practices while effectively overseeing program initiatives. The position demands a commitment to ongoing professional development and the ability to pivot strategies in response to evolving challenges or opportunities. Strong adaptability and a proactive approach to learning are critical for success in this dynamic environment.
Offer expert technical assistance to SODA and STA’s regarding data utilization and reporting protocols.
Collaborate extensively with partner Monitoring, Evaluation, and Learning (MEL) teams, including the Countering Serious Crimes Division (C4SD), FIELD Intelligence, and service delivery partners.
Develop compelling performance visualization decks and supporting materials tailored for donor updates and government stakeholder presentations.
Oversee and execute a range of critical duties to ensure operational excellence and organizational success. Lead and manage cross-functional teams to drive project completion, fostering collaboration and accountability. Develop and implement strategic initiatives that align with company objectives, enhancing efficiency and productivity. Analyze performance metrics to identify trends, address challenges, and optimize processes for continuous improvement. Maintain compliance with industry regulations and internal policies while promoting a culture of transparency and integrity. Serve as a key liaison between departments, stakeholders, and senior leadership to facilitate seamless communication and decision-making.
Strategic Monitoring, Evaluation, and Learning (MEL) leadership encompasses the design, implementation, and oversight of robust systems to track progress, assess impact, and inform decision-making across programs and initiatives. This role demands expertise in developing MEL frameworks, establishing performance indicators, and ensuring data-driven insights guide strategic adjustments. Responsibilities include coordinating with stakeholders to align MEL activities with organizational goals, managing data collection and analysis, and fostering a culture of continuous improvement through evidence-based practices. Candidates must possess strong analytical skills, proficiency in MEL methodologies, and the ability to translate complex findings into actionable recommendations for diverse audiences.
Spearhead the design, enhancement, and implementation of the project’s Monitoring, Evaluation, and Learning (MEL) framework, theory of change, and results measurement strategy to ensure robust data-driven decision-making and impact assessment.
You will ensure MEL systems are fully compliant with donor specifications and harmonized with national reporting frameworks. This involves tailoring monitoring, evaluation, and learning processes to align with both donor mandates and country-level systems to maintain consistency and accuracy in reporting.
Ensure seamless alignment and coordination among supply chain, financing, and service delivery data streams to maintain operational efficiency and data integrity.
Design and structure scalable systems and data frameworks to ensure high performance, reliability, and efficiency. Develop and implement robust data architectures that support seamless integration, processing, and analysis. Define clear system requirements, model data flows, and optimize storage solutions to meet business objectives. Collaborate with cross-functional teams to align technical designs with organizational needs while adhering to best practices in scalability, security, and maintainability.
Spearhead the design and implementation of comprehensive, end-to-end data systems by establishing robust architectures, integrating data pipelines, and ensuring seamless deployment across environments to enable efficient data processing, storage, and analytics at scale.
Digital and paper-based data collection tools are utilized for gathering information.
The initiative involves the creation of dynamic dashboards for tracking program indicators, providing real-time insights into performance metrics and progress toward established objectives. These visual tools enable stakeholders to monitor key data points efficiently, facilitating informed decision-making and strategic adjustments as needed. The role requires proficiency in data visualization tools and a strong understanding of performance measurement frameworks to ensure accurate representation and analysis of program outcomes. Responsibilities include designing, updating, and maintaining these dashboards to reflect the most current information while adhering to best practices in data presentation and accessibility.
Develop and maintain dynamic dashboards and performance monitoring frameworks that deliver real-time insights and analytics to stakeholders, ensuring continuous visibility into key operational metrics and KPIs.
Facilitate flawless incorporation with the National Health Logistics Management Information System (NHL MIS) or electronic Logistics Management Information System (Ellis) to maintain operational synchronization and data integrity.
You will oversee data management processes and ensure adherence to rigorous quality assurance standards across all datasets. Your responsibilities include maintaining data integrity, validating accuracy, and implementing consistent procedures to mitigate errors. Additionally, you will monitor compliance with established protocols, identify discrepancies, and recommend improvements to enhance overall data reliability.
Develop and implement robust data governance frameworks to ensure consistent adherence at every organizational tier.
Conduct Data Quality Assessments (Dias) and perform rigorous validation exercises to ensure data integrity and accuracy.
Perform regular on-site inspections and validation checks to ensure compliance and accuracy in operations.
Verify the consistency and accuracy of data by cross-referencing multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Monitoring and reporting performance entails systematically tracking and evaluating key metrics to assess progress toward strategic objectives. This involves collecting, analyzing, and interpreting data to generate actionable insights, ensuring transparency and accountability in operations. Regular reporting keeps stakeholders informed of performance trends, deviations, and opportunities for improvement, enabling data-driven decision-making across the organization.
Monitor and evaluate essential program metrics, comprising critical indicators such as:
The team will analyze commodity stock levels, evaluate consumption patterns, and assess stock out rates to ensure optimal inventory management.
The facility must consistently achieve high order fill rates, submit accurate facility reports promptly, and ensure timely order turnaround times.
Delivers DRF budgeting and replenishment results in alignment with established targets.
The adoption, utilization, and reporting completeness and timeliness of NHL MIS across states are essential elements to evaluate.
Compile monthly, quarterly, and annual reports with precision and consistency to support informed decision-making and strategic planning.
Compile comprehensive donor updates and reports, create detailed technical briefs, and design executive dashboards to facilitate informed leadership decision-making.
Facilitating continuous learning, adaptability, and effective knowledge management initiatives is essential. This involves implementing strategies to enhance organizational learning, fostering an environment conducive to growth, and ensuring knowledge is efficiently captured, shared, and utilized across the organization.
Conduct quarterly data review and learning sessions in collaboration with technical partners, specifically FIELD and C4SD.
Develop data-driven recommendations to inform strategic program modifications, advocate for policy enhancements, and optimize resource distribution.
Document and circulate proven methodologies, key insights, and illustrative examples to share successful strategies and positive outcomes with relevant stakeholders.
Conduct thorough assessments and investigations to analyze data, measure outcomes, and derive actionable insights. Identify trends, assess effectiveness, and recommend improvements based on empirical evidence and systematic analysis. Ensure findings are accurate, relevant, and aligned with organizational objectives.
Lead and coordinate:
Conduct pre-intervention, mid-intervention, and post-intervention evaluations to establish performance benchmarks, track progress, and measure final outcomes.
Conduct regular monitoring activities and perform specialized studies as required to ensure comprehensive data collection and analysis.
Facilitate the execution of project evaluations, with emphasis on:
We provide comprehensive data solutions for commodity logistics operations, spanning all stages from initial procurement to final delivery. Our team requires expertise in managing and analyzing logistics data to ensure seamless end-to-end visibility, efficiency, and compliance throughout the supply chain. Candidates must demonstrate proficiency in data analytics, supply chain management, and regulatory frameworks, along with strong problem-solving and communication skills. Responsibilities include collecting, processing, and interpreting logistics data, identifying trends, and optimizing processes to reduce costs and enhance operational performance.
Experts in budget management are required to oversee financial forecasting, strategic allocation of funds, and systematic replenishment strategies to maintain optimal resource levels.
LMIS digitization and uptake
Conduct thorough evaluations of trends and outcomes to maintain high standards of accuracy and reliability.
Capacity Strengthening & Mentorship: We are seeking a dynamic professional to design and deliver tailored training programs that enhance organizational capabilities and foster leadership growth. The ideal candidate will possess a minimum of five years of experience in training development, facilitation, and adult learning principles, with a proven track record in mentoring individuals and teams. Responsibilities include assessing organizational needs, creating customized learning solutions, and implementing mentorship initiatives to drive sustainable performance improvements. Strong interpersonal skills, cultural sensitivity, and the ability to engage diverse audiences are essential. Experience in the nonprofit, international development, or corporate training sectors is highly desirable.
Supervise the enhancement of monitoring and evaluation capabilities among state and local government area officials, as well as health facility staff.
Devising instructional and mentorship resources encompassing the following domains:
Data gathering and dissemination of findings are integral components of this role, involving the systematic acquisition and analysis of information. Responsibilities include compiling detailed reports, ensuring accuracy and completeness of collected data, and presenting insights derived from analytical processes. Proficiency in data management tools and strong attention to detail are essential for maintaining high-quality records and supporting informed decision-making.
Leveraging data to inform strategic decisions represents a critical component of our operational framework. This role necessitates a commitment to collecting, analyzing, and interpreting data to derive actionable insights that drive informed business choices. Proficiency in data management tools and methodologies, along with a keen analytical mindset, is essential to fulfilling the responsibilities associated with this position. Candidates must demonstrate the ability to transform raw data into meaningful patterns, ensuring decisions are grounded in evidence rather than intuition.
The LUIS and DRF data systems serve as critical tools for collecting, analyzing, and reporting logistics and supply chain information. These systems ensure accurate data management to support inventory tracking, forecasting, and decision-making processes. Professionals utilizing these platforms must possess expertise in data analysis, proficiency with relevant software, and a strong understanding of supply chain operations. Responsibilities include maintaining data integrity, generating reports, identifying trends, and providing actionable insights to optimize system performance and efficiency.
Collaborate with partners and stakeholders to ensure cohesive alignment and effective communication throughout all initiatives.
Coordinate monitoring, evaluation, and learning (MEL) activities for the project in collaboration with C4SD and FIELD to ensure alignment and efficiency in implementation.
Engage actively in collaborative data assessment initiatives and interdisciplinary knowledge-sharing platforms.
Offer valuable technical expertise to inform policy formulation, advocacy initiatives, and program design evaluations.
Monitoring and evaluating key performance indicators (KPIs) is essential to assessing operational efficiency and driving continuous improvement. These metrics provide measurable insights into progress toward strategic objectives, ensuring alignment with organizational goals. Regularly tracking KPIs enables data-driven decision-making, fosters accountability, and highlights areas requiring attention or enhancement. Additionally, they support performance benchmarking, facilitate transparent reporting, and help identify trends that inform future planning and resource allocation.
The precision and punctuality of MEL reports are critical to our operations. These reports must be meticulously prepared and delivered within established deadlines to ensure data-driven decision-making. Accuracy in documenting monitoring, evaluation, and learning activities is essential, as it directly impacts project outcomes and stakeholder confidence. Team members responsible for this task must adhere to strict quality standards and timelines, demonstrating a commitment to excellence in reporting.
Ensure the precision and thoroughness of data integrity for all states.
Enhancements in critical performance metrics—including stock out rates, reporting accuracy, and DRF functionality—have been observed.
Data utilization at both the state and facility levels plays a pivotal role in informing strategic and operational decisions.
Enhancing the capabilities of MEL staff and partners represents a critical focus area.
Seeking a candidate with a Bachelor’s degree in Computer Science, Engineering, or a related field, complemented by a minimum of five years of hands-on experience in software development. Proficiency in programming languages such as Python, Java, or C++ is essential, along with expertise in database management systems like MySQL or PostgreSQL. The ideal applicant will demonstrate strong problem-solving abilities, excellent communication skills, and the capacity to collaborate effectively within a team-oriented environment. Responsibilities include designing, developing, and maintaining scalable software solutions, conducting thorough code reviews, and ensuring adherence to best practices in security and performance optimization. Additionally, the role requires staying current with emerging technologies and industry trends to drive innovation and continuous improvement.
Education: Candidates must possess a bachelor’s degree or higher in a relevant field from an accredited institution. Advanced degrees or specialized certifications are preferred, depending on the role’s requirements. Equivalent professional experience may be considered in lieu of formal education for certain positions.
A bachelor’s degree in Statistics, Epidemiology, Public Health, Economics, or a closely related discipline is required.
A master’s degree is required, or strongly preferred.
With a proven track record in the field, the ideal candidate will bring hands-on experience relevant to the role’s demands. Prior involvement in similar projects or environments is essential, ensuring familiarity with industry standards and best practices. The position requires practical knowledge and the ability to apply learned skills to real-world scenarios, supported by a minimum of [X] years of direct experience in a comparable capacity.
With a minimum of five years of progressively responsible experience in Monitoring, Evaluation, and Learning (MEL), including demonstrated leadership in a supervisory capacity, candidates should possess a proven track record in guiding teams and overseeing project performance.
Seasoned professionals with extensive backgrounds in overseeing Monitoring, Evaluation, and Learning (MEL) frameworks for externally funded initiatives—including those supported by the Gates Foundation, USAID, and the Global Fund—are sought for this role.
Demonstrates extensive experience in executing health sector initiatives across multiple states or on a large scale.
Professionals with a background in enhancing health systems or managing supply chain and commodity programs are encouraged to apply. Candidates should possess relevant experience in either health systems strengthening initiatives or the oversight of supply chain and commodity distribution efforts.
Technical Expertise: Proven proficiency in specialized technical domains, encompassing a comprehensive understanding of industry-specific tools, methodologies, and best practices. Demonstrated capability to apply advanced technical knowledge to resolve complex challenges, optimize system performance, and drive innovation. Familiarity with cutting-edge technologies, frameworks, and emerging trends to enhance operational efficiency and maintain competitive advantage. Strong analytical skills to evaluate technical requirements, assess risks, and implement scalable solutions in alignment with organizational objectives.
Proficiency in utilizing a range of technical tools and software is essential for this role. Candidates must demonstrate strong expertise in relevant applications to perform duties effectively. Familiarity with industry-standard systems and platforms is required to meet operational demands. The ability to quickly adapt to new technologies and methodologies is also critical. Maintaining up-to-date knowledge of advancements in the field is expected to ensure optimal performance.
Data analytics and visualization tools including Excel, Power BI, and Tableau are essential for this role. Proficiency in these platforms is required to analyze complex datasets, generate insightful reports, and present findings in a clear, visually compelling manner. Candidates should possess strong technical skills in data manipulation, dashboard creation, and interactive report development to support data-driven decision-making processes. Familiarity with advanced features such as DAX in Power BI, Tableau calculations, and Excel macros will be highly advantageous.
DHIS2, in conjunction with NHL MIS/Ellis, supports the implementation and enhancement of health management information systems, ensuring efficient data collection, processing, and reporting. This role requires proficiency in DHIS2 configuration, customization, and troubleshooting, along with a strong understanding of health data standards and information systems. Responsibilities include developing data models, configuring dashboards, generating analytical reports, and providing technical assistance to users. Candidates must possess experience with DHIS2 implementations, preferably in healthcare settings, and demonstrate expertise in data analysis, system integration, and stakeholder collaboration. Familiarity with Ellis, supply chain management, or related fields is advantageous.
Experienced professionals in mobile data collection tools such as OK, KoboToolbox, and Comm Care are sought after. Proficiency in these platforms is essential for field data collection, monitoring, and evaluation tasks. Candidates must demonstrate hands-on experience with at least one of these tools, along with a solid understanding of data management and analysis. The role requires the ability to design forms, deploy surveys, and efficiently manage collected data. Strong problem-solving skills and attention to detail are critical to ensuring data accuracy and integrity in field operations.
Strong proficiency in a wide range of technical disciplines or specialized fields is essential. Candidates should demonstrate deep expertise and hands-on experience in pertinent areas to ensure effective performance. This role requires a solid foundation and advanced understanding of core principles, tools, and methodologies relevant to the position.
Designs and implements comprehensive results frameworks, ensuring systematic monitoring and evaluation of performance indicators to measure progress and outcomes effectively.
Data quality assurance methodologies encompass systematic processes and standards designed to evaluate, monitor, and enhance the accuracy, consistency, and reliability of data. These methodologies involve defining clear data quality metrics, implementing validation checks, and conducting regular audits to identify discrepancies, errors, or inconsistencies. Additionally, they include the establishment of data governance frameworks to ensure compliance with regulatory requirements and organizational policies. Professionals in this field apply advanced analytical techniques, statistical methods, and automated tools to detect anomalies, resolve data-related issues, and implement corrective actions. The role also demands collaboration with cross-functional teams to align data quality initiatives with business objectives and foster a culture of continuous improvement in data integrity.
DRF systems and expertise in health financing analytics are strongly preferred qualifications for this position.
Core Proficiencies:
Demonstrates proficiency in strategic planning, problem-solving, and analytical decision-making, with a strong capacity for adaptability and innovation. Exhibits exceptional organizational skills, attention to detail, and the ability to manage multiple priorities efficiently in a fast-paced environment. Shows effective communication and interpersonal skills, fostering collaboration and teamwork across diverse groups. Maintains a high level of professionalism, integrity, and accountability in all responsibilities. Possesses advanced technical competencies relevant to the role, ensuring optimal performance and continuous improvement.
Proficiency in analytical reasoning and strategic planning is essential for this role.
Demonstrates outstanding proficiency in interpreting complex datasets and creating clear, impactful visual presentations to convey insights effectively.
We seek a candidate who demonstrates a strong commitment to ethical standards and possesses meticulous attention to detail.
Exceptional leadership abilities, strong coaching capabilities, and proven team management expertise are essential for this role.
Proven ability to communicate effectively and build strong relationships with stakeholders is essential.
Proven capability to function effectively within intricate, collaborative frameworks involving multiple stakeholders.
Qualifications
BA/BSc/HND
Experience Required
5 years
