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 healthcare facilities. This objective will be pursued through strategic partnerships with multiple Ministries, Departments, and Agencies (MDS), including the Smog, Spicas, DMA/CMS, and health facilities, as well as collaborating organizations such as FIELD Intelligence, C4SD, CEPAP, TA Connect, Scalar, and CHAI. The project’s sustainable outcomes include optimizing last-mile delivery (LMD) of MNH commodities to facilities, strengthening states’ abilities to plan, finance, and implement LMD operations, digitalizing state-level logistics management information systems (LUIS) to enable real-time tracking of logistics data, implementing consumption-driven forecasting and quantification for MNH bundle commodities, and reinforcing drug revolving fund (DRF) programs to ensure the continuous replenishment of essential MNH supplies.
The initiative is designed to ensure beneficiaries can affordably access these bundled Maternal, Newborn, and Child Health (MNCH) services by utilizing established government and donor-supported financing frameworks that shield women and their families from financial hardships. These frameworks encompass national and state health insurance programs, complimentary or subsidized MNCH services incorporated into the BHCPF 2.0 and HOPE-PHC initiatives, as well as state-level 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, implementation, and ongoing enhancement.
This position will serve as a vital liaison, bridging data systems such as the NHL MIS and program dashboards with strategic programmatic decision-making at both the central and five focus states levels.
The position will provide direct oversight of the MEL Analyst and State Logistics Data Analyst, as well as indirect supervision of State Technical Assistants.
The position will involve guaranteeing that all operational processes adhere to established standards and regulatory requirements while maintaining high levels of efficiency and accuracy. This includes overseeing compliance with industry best practices, conducting thorough reviews of workflows, and implementing corrective measures when necessary. Additionally, the role will demand a keen attention to detail to identify potential risks, ensure data integrity, and foster continuous improvement across all assigned functions.
Delivering precise, up-to-date, and dependable data sourced from Ellis, program dashboards, and field implementation reports remains essential.
The position involves consistently monitoring performance against the established project results framework targets.
Evidence generation serves as a critical foundation for informing program design, shaping policy engagement strategies, and enabling sustainable scaling efforts.
Continuous learning and adaptive program management are essential components of this role, ensuring that strategies evolve in response to changing circumstances and new insights. This position requires a commitment to professional development, staying abreast of industry trends, and refining program approaches to enhance effectiveness. Responsibilities include overseeing dynamic initiatives, adjusting plans as needed, and implementing best practices to drive successful outcomes. The ideal candidate will demonstrate agility in navigating challenges and leveraging emerging opportunities to optimize program performance.
Offer expert technical support to SODA and STA’s regarding data utilization and reporting protocols.
Liaise collaboratively with partner Monitoring, Evaluation, and Learning (MEL) teams, including C4SD, FIELD Intelligence, and service delivery collaborators, to ensure cohesive project oversight and alignment.
Develop compelling performance visualization materials, including decks and supporting resources, to support donor updates and government stakeholder meetings.
Oversee the planning, execution, and monitoring of projects to ensure timely delivery while meeting quality standards. Collaborate with cross-functional teams to align resources, allocate tasks, and resolve dependencies efficiently. Develop and maintain project documentation, including plans, schedules, and progress reports, to track milestones and identify potential risks. Act as a liaison between stakeholders and team members to facilitate clear communication and foster accountability. Monitor project performance using established metrics and KPIs, implementing corrective actions as needed to stay on track. Ensure adherence to budget constraints and organizational policies throughout the project lifecycle. Mentor junior team members by providing guidance, feedback, and support to enhance their professional growth and project contributions.
Provides leadership in Monitoring, Evaluation, and Learning (MEL) strategy formulation and implementation to drive evidence-based decision-making and adaptability across programs. Oversees the development of comprehensive MEL frameworks, ensuring alignment with organizational goals and donor requirements. Leads a team of MEL specialists in data collection, analysis, and reporting, fostering a culture of continuous improvement. Ensures the integration of MEL findings into program design and adaptive management, enhancing program efficiency and impact. Analyzes data trends to identify insights and make strategic recommendations for program enhancement. Manages relationships with stakeholders, including donors, partners, and internal teams, to facilitate transparent communication and collaborative MEL practices. Ensures compliance with ethical standards, data protection regulations, and organizational policies in all MEL activities.
Oversee the creation and continuous improvement of the project’s Monitoring, Evaluation, and Learning (MEL) framework, the theory of change, and the results’ measurement strategy.
Ensure MEL systems comply with donor stipulations as well as align with national reporting frameworks.
Ensure seamless coordination among supply chain, financing, and service delivery data streams to maintain cohesive operations and enhance overall efficiency.
Systems Design and Data Architecture: Responsible for crafting scalable, efficient system designs and robust data architectures that align with organizational objectives. Develops high-performance solutions by integrating advanced technologies, optimizing data flows, and ensuring seamless interoperability across systems. Conducts thorough assessments of technical requirements, identifies potential bottlenecks, and implements best practices in data modeling, storage, and processing. Collaborates with cross-functional teams to translate business needs into technical specifications while maintaining rigorous standards for security, compliance, and reliability. Leads the evaluation of emerging tools and frameworks to enhance data-driven decision-making and infrastructure modernization.
Lead the development and implementation of comprehensive data systems from initial design through full deployment, ensuring seamless integration and operational efficiency across all stages.
Professional Version:
The position involves utilizing both digital and paper-based tools to compile and manage information efficiently.
We develop and maintain tracking dashboards to monitor key program indicators, ensuring data accuracy and accessibility for stakeholders. These dashboards provide real-time insights into performance metrics, facilitating informed decision-making and strategic planning. Responsibilities include designing user-friendly interfaces, updating data sources regularly, and collaborating with cross-functional teams to align dashboards with organizational objectives. Proficiency in data visualization tools, such as Tableau or Power BI, and strong analytical skills are required. Experience in dashboard development and a keen eye for detail are essential to meet reporting needs effectively.
Develop and maintain dynamic dashboards and real-time performance monitoring tools to provide live insights and data visualization, enabling stakeholders to track key metrics and operational efficiency seamlessly.
Verify that integration with NHL MIS and Ellis occurs without disruption.
Oversee data integrity and maintain high-quality standards through meticulous management and rigorous quality assurance processes. Ensure accuracy, consistency, and reliability of datasets while implementing robust validation protocols. Identify discrepancies, resolve data anomalies, and enforce compliance with established policies and regulatory requirements. Collaborate with cross-functional teams to optimize data workflows and enhance overall system performance.
Develop and enforce comprehensive data governance policies to ensure consistent implementation across all organizational levels.
Conduct Data Quality Assessments (Dias) and execute validation exercises to ensure data integrity and accuracy.
Perform regular on-site inspections and validation assessments to ensure compliance and accuracy.
Verify the alignment and consistency of data across multiple sources, including Logistics Management Information Systems (LUIS), facility registers, and financial records.
Monitor data performance and generate detailed reports to track progress and identify trends, ensuring alignment with organizational objectives and compliance standards.
Monitor and evaluate critical program metrics, which encompass the following:
MNH tracks commodity stock levels, monitors consumption trends, and evaluates stock out rates to ensure effective inventory management.
Achieving high order fill rates, maintaining accurate facility reporting rates, and ensuring swift order turnaround times are critical priorities for this role. Consistently meeting these performance metrics is essential to driving operational efficiency and customer satisfaction.
Delivers budgeting and replenishment performance for the DRF in alignment with established targets.
The adoption, utilization, and reporting completeness and timeliness of NHL MIS across states must be ensured.
Compile comprehensive monthly, quarterly, and annual reports to provide detailed financial and operational insights.
Prepare comprehensive donor updates, reports, technical briefs, and executive dashboards to facilitate informed decision-making by leadership.
Learning, Adaptation, and Knowledge Management: You will be responsible for fostering a culture of continuous improvement by identifying, capturing, and disseminating best practices and lessons learned across the organization. This role involves analyzing performance data to pinpoint trends, implementing structured knowledge-sharing mechanisms, and ensuring that insights gained from experiences—both successes and failures—are systematically integrated into processes and decision-making. Additionally, you will develop and refine frameworks to enhance organizational agility, enabling teams to adapt swiftly to changing conditions while leveraging collective expertise to drive innovation and efficiency.
Conduct quarterly data review and learning sessions in collaboration with technical partners such as FIELD and C4SD.
Develop data-driven recommendations to inform program modifications, advocate for policy enhancements, and optimize resource distribution.
Compile and share effective methodologies, key insights, key learnings, illustrative case studies, and documented success stories to foster organizational growth and continuous improvement.
Conduct comprehensive evaluations and research initiatives to assess performance metrics, identify trends, and derive actionable insights that drive strategic decision-making and continuous improvement across the organization.
Lead and oversee the planning, organization, and implementation of projects, ensuring alignment with strategic objectives and stakeholder expectations. Direct teams to achieve key deliverables while fostering collaboration and maintaining clear communication channels throughout the process.
Baseline, mid-term, and final evaluations will be conducted to measure progress, identify areas for improvement, and determine the effectiveness of interventions throughout the project lifecycle.
Routine monitoring initiatives and targeted special studies are conducted to systematically evaluate performance, identify trends, and uncover opportunities for improvement. These efforts involve the collection, analysis, and interpretation of data to ensure compliance with established standards and to inform strategic decision-making. Special studies may encompass in-depth investigations into specific issues, processes, or areas of concern, requiring meticulous planning, execution, and reporting deriving actionable insights.
Support the execution of project evaluations with a focus on:
We oversee the entire lifecycle of commodity logistics data, from initial acquisition through processing and final delivery. Our responsibilities include managing data collection, ensuring accuracy and consistency, and maintaining seamless integration across all stages. This role demands expertise in data analysis, strong technical skills, and the ability to optimize workflows for efficiency and reliability. Candidates should possess a proven track record in logistics data management, proficiency in relevant software tools, and a commitment to continuous improvement in data-driven decision-making.
Experts in budgetary management, financial resource distribution, and inventory replenishment processes using Django REST Framework are sought. Applicants must demonstrate proficiency in financial forecasting, strategic resource allocation, and maintaining optimal stock levels through automated replenishment systems. Ideal candidates will have a strong command of DRF metrics to enhance fiscal efficiency and operational workflows.
LMIS digitization and uptake
Conduct thorough evaluations of trends and outcomes to maintain high analytical standards.
Capacity Strengthening & Mentorship: This role involves enhancing organizational and individual capabilities through tailored training, coaching, and guidance to foster sustainable growth and performance improvement. The position requires expertise in designing and delivering mentorship programs, identifying skill gaps, and cultivating leadership potential. Responsibilities include assessing training needs, developing customized learning solutions, and evaluating program effectiveness to ensure measurable impact. Strong interpersonal skills, adaptability, and a commitment to continuous improvement are essential for success in this position.
Supervise the enhancement of monitoring and evaluation capabilities among state, local government area, and health facility personnel.
Design and create comprehensive training and mentoring resources, including structured curricula, interactive modules, and supplementary materials, tailored to enhance employee skills, knowledge retention, and professional growth initiatives.
Data collection and reporting involve gathering, analyzing, and presenting information to support decision-making processes. This role requires proficiency in utilizing various tools and methodologies to compile accurate data, ensuring its integrity and relevance. Responsibilities include maintaining databases, generating reports, and interpreting findings to provide actionable insights. Strong attention to detail, analytical skills, and the ability to communicate complex information clearly are essential for success in this position.
For making informed decisions, data is utilized effectively, ensuring that all relevant information is analyzed and interpreted accurately to support strategic and operational choices.
The position requires proficiency in utilizing LUIS and DRF data systems, ensuring accurate tracking, reporting, and analysis of logistical and distribution data. Responsibilities include maintaining system integrity, generating detailed reports, and troubleshooting data discrepancies to support informed decision-making. Candidates must demonstrate strong analytical skills, attention to detail, and the ability to work efficiently with large datasets. Familiarity with data management best practices and prior experience with similar systems are highly desirable.
Partner & Stakeholder Coordination: You will cultivate and sustain robust relationships with key partners, stakeholders, and external collaborators to ensure alignment with organizational objectives. Duties include negotiating agreements, managing communications, and fostering collaboration to drive mutually beneficial outcomes. Strong interpersonal skills, strategic thinking, and the ability to navigate complex stakeholder landscapes are essential. This role demands exceptional diplomacy, adaptability, and a results-driven mindset to advance shared goals and mitigate potential conflicts.
Coordinate all MEL (Monitoring, Evaluation, and Learning) activities for the project while ensuring seamless collaboration with C4SD and FIELD teams.
Engage in collaborative data review sessions and interdisciplinary learning forums to exchange insights and best practices.
Contribute technical expertise to the formulation of policies, advocacy initiatives, and program design assessments.
Key Performance Indicators (KPIs) serve as quantifiable metrics to evaluate the success of projects, processes, or individuals against predefined targets. These indicators are instrumental in tracking progress, identifying inefficiencies, and facilitating data-driven decision-making. Typically, KPIs are established based on strategic objectives and are regularly monitored to ensure alignment with organizational goals. They encompass various aspects such as productivity, quality, timeliness, and financial performance, providing a comprehensive overview of operational effectiveness.
We place strong emphasis on ensuring the timely preparation and delivery of MEL (Monitoring, Evaluation, and Learning) reports while maintaining high standards of accuracy and thoroughness.
Ensure data integrity and thoroughness across all states by meticulously verifying facts and maintaining comprehensive records.
Significant enhancements are required in critical performance metrics, including stock out rates, reporting rates, and DRF functionality.
Enhances data-driven decision-making processes at both state and facility levels through the strategic application of robust analytical insights.
Enhancing the capabilities of MEL staff and partners is a key focus area.
Seeking a candidate with a bachelor’s degree in computer science, engineering, or a related field, along with a minimum of three years of experience in software development. Proficiency in programming languages such as Python, Java, or C++ is required, along with familiarity with frameworks like Django or React. The ideal applicant will demonstrate strong problem-solving abilities, excellent collaboration skills, and a commitment to continuous learning. Responsibilities include designing, developing, and maintaining software applications, conducting code reviews, and troubleshooting technical issues. Experience with cloud platforms, such as AWS or Azure, is a plus.
Education: A bachelor’s degree or higher in a relevant field such as business administration, finance, economics, or a related discipline is required. Candidates should possess strong academic credentials from an accredited institution. Advanced degrees or professional certifications may be advantageous and could provide a competitive edge in the selection process.
A Bachelor’s Degree in a relevant discipline, such as Statistics, Epidemiology, Public Health, or Economics, is required.
A master’s degree is required, or it is strongly preferred.
With substantial experience in the field, candidates should possess a strong background in relevant professional or academic settings. Familiarity with industry-specific tools, methodologies, and best practices is highly desirable, along with a proven track record of delivering measurable results. The ideal applicant will demonstrate adaptability, problem-solving skills, and a commitment to continuous learning and improvement. Prior hands-on experience in similar roles or projects is essential to ensure a seamless transition and immediate contribution to the team.
A minimum of five years of progressive experience in Monitoring, Evaluation, and Learning (MEL) is required, with at least two years in a supervisory capacity.
Seasoned professionals with extensive backgrounds in overseeing Monitoring, Evaluation, and Learning (MEL) frameworks within donor-funded initiatives are encouraged to apply. Candidates should possess notable expertise in managing MEL systems specifically for projects supported by prominent organizations such as the Gates Foundation, USAID, and the Global Fund.
Accomplished professional with extensive experience leading and executing health sector initiatives across multiple states or on a large scale.
Proficiency in health systems strengthening initiatives or commodity and supply chain program management is required. Ideal candidates will possess hands-on experience in implementing strategies to enhance healthcare infrastructure or overseeing the efficient distribution of medical resources and supplies.
Technical Expertise: Possesses in-depth knowledge of industry-specific technologies, methodologies, and best practices, with a proven ability to apply technical solutions to complex challenges. Demonstrates proficiency in relevant software, tools, and systems, ensuring efficient and effective project execution. Maintains awareness of emerging trends and advancements to enhance operational performance and innovation. Applies analytical skills to troubleshoot issues, optimize processes, and deliver reliable technical outcomes aligned with organizational objectives.
Proven ability to effectively utilize the required tools and systems is essential. Strong competency in operating relevant software, equipment, or methodologies is mandatory. Candidates must demonstrate hands-on experience and a track record of applying these skills in practical settings. Familiarity with industry-specific applications or technical platforms is highly advantageous.
Professional candidates should possess proficiency in data analytics and visualization tools, including Excel, Power BI, and Tableau.
DHIS2, in conjunction with NHL MIS or Ellis, serves as a comprehensive platform for managing health information and logistics systems. This role demands proficiency in implementing, customizing, and maintaining these systems to ensure seamless data collection, reporting, and decision-making processes. Candidates must possess strong analytical skills, technical expertise in DHIS2 configurations, and familiarity with logistics management information systems. Responsibilities include system administration, user training, troubleshooting technical issues, and collaborating with stakeholders to enhance data-driven health outcomes. Prior experience in health informatics, project management, and DHIS2 deployments is highly advantageous.
Professional mobile data collection tools such as OK, KoboToolbox, and Comm Care are utilized for this role.
Strong proficiency in [relevant field or skill] is essential, with a comprehensive understanding of [specific areas or technologies] required for success in this role. Candidates must possess hands-on experience with [key tools, methodologies, or processes], ensuring the ability to apply theoretical knowledge to practical scenarios. Additionally, familiarity with [industry standards, regulations, or best practices] is highly advantageous for navigating complex challenges. The ideal applicant will demonstrate exceptional analytical skills, meticulous attention to detail, and a commitment to delivering high-quality results.
Develops and maintains robust results frameworks and systematically tracks key performance indicators to evaluate progress and effectiveness in achieving strategic objectives.
We implement rigorous methodologies to ensure data quality, encompassing systematic validation, cleansing, and verification processes. Our approach involves meticulous checks to identify inaccuracies, inconsistencies, and redundancies while adhering to established standards and best practices. Through continuous monitoring and assessment, we uphold the integrity, accuracy, and reliability of data assets, mitigating risks associated with poor-quality information.
Highly desirable experience includes expertise in DRF systems and health financing analytics.
Core Skills and Qualifications: Demonstrates expertise in key functional areas essential for success in this role. Possesses strong analytical abilities to evaluate complex information and generate actionable insights. Exhibits exceptional problem-solving skills, identifying innovative solutions to challenges. Maintains a high level of adaptability, quickly adjusting to evolving priorities and business needs. Shows proficiency in leveraging data-driven methodologies to inform decision-making. Communicates effectively with stakeholders at all levels to foster collaboration and alignment. Exhibits unwavering commitment to achieving measurable results while upholding professional standards.
Demonstrates exceptional analytical capabilities and a strategic mindset.
Proficient in interpreting data and creating clear, impactful visualizations with precision and clarity. Demonstrated expertise in transforming complex datasets into meaningful insights through advanced analytical techniques and presentation tools, ensuring accessibility and actionable outcomes for stakeholders.
Maintaining a strong commitment to ethical standards and exhibiting meticulous attention to detail are essential for this role.
Accomplished in guiding teams, fostering leadership, and cultivating high-performing individuals through effective coaching and management strategies.
Proven ability to articulate ideas clearly and build productive relationships with stakeholders at all organizational levels.
Proven expertise in navigating intricate, collaborative settings involving multiple stakeholders is essential.
Qualifications
BA/BSc/HND
Experience Required
5 years
