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About this job
About Thamini UhaiThamini Uhai, formerly World Lung Foundation, is a Tanzanian non-governmental organization committed to reducing maternal and early neonatal mortality and strengthening health systems in underserved rural areas. Since 2008, Thamini Uhai has partnered with the Government of the United Republic of Tanzania, implementing impactful initiatives.From 2008 to 2019, Thamini Uhai collaborated with Bloomberg Philanthropies to enhance quality Emergency Obstetric and Newborn Care services. In partnership with the Ministry of Health and Local Government Authorities, the organization pioneered and scaled birth companionship as a crucial component of respectful maternity care across 27 health facilities in Kigoma, Katavi, Geita, and Mwanza Regions.
Partnership Program for Maternal and Newborn Health Improvement in Tanzania
Thamini Uhai has secured funding for the implementation of the Partnership Program for Comprehensive and Integrated Maternal and Newborn Health Improvement (Mjamzito na Mtoto Salama) in Tanzania. This ambitious five-year program, jointly supported by Bloomberg Philanthropies and the Gates Foundation, will be executed in three regions of Mainland Tanzania and will be implemented in two phases:
September 2025 to June 2027
July 2027 to June 2030
The program will be implemented in the following regions:
Geita
Katavi
Kigoma
This initiative aims to accelerate the achievement of 2030 SDG targets by improving maternal and newborn health outcomes in Tanzania. It will achieve this by strengthening the delivery of quality and respectful Emergency Obstetric and Newborn Care (EmONC), including postpartum hemorrhage (PPH) management, antenatal care, and comprehensive newborn care, with a special focus on scaling up care for small and sick newborns. The program will also provide strategic technical support to the Ministry of Health in reviewing technical guidelines and associated learning resources.
In line with this, Thamini Uhai is seeking to recruit qualified individuals for the following position:
Monitoring, Evaluation and Learning (MEL) Officer (1 position)
Position description
Department: Program
Reports to: Regional Program Coordinator
Dotted line report: Manager, Monitoring, Evaluation, Research and Learning (MERL)
Location: Geita
Assignment type: Full-time
Position summary
The Monitoring, Evaluation and Learning (MEL) Officer provides technical and operational support for implementation of MEL systems at regional, council, and facility levels. The role focuses on ensuring accurate, timely, and high-quality data collection, validation, and reporting, while strengthening the use of data for routine decision-making and service improvement.
Working under the administrative supervision of the Regional Program Coordinator and technical guidance of the MERL Manager, the officer supports routine data systems, including DHIS2 and MPDSR, and contributes to the implementation of program-specific assessments such as Health Facility Assessments (HFA) where applicable.
The role plays a key function in strengthening data use at the facility and district levels by supporting implementation teams to translate data into practical actions that improve service delivery, quality of care, and program outcomes across high-volume facilities.
Main duties and responsibilities
i. Data collection, management and quality assurance
Supports implementation of robust data systems to ensure the availability of high-quality data for program monitoring.
Support collection, validation, and reporting of program data across facilities, councils, and regions.
Ensure completeness, accuracy, and timeliness of data in routine systems, including HMIS/DHIS2.
Support routine Data Quality Assessments (DQAs) and follow-up actions.
Conduct data cleaning, verification, and validation during reporting cycles.
Ensure availability and correct use of standardized data collection tools and HMIS registers at facility level.
Support the collection and validation of MPDSR data at the facility and council levels.
ii. Data analysis, visualization and use
Supports analysis and interpretation of data to inform program performance and decision-making.
Support analysis of program data to track progress against indicators and targets.
Compile and summarize data for use in routine review meetings and reporting.
Develop simple dashboards, summaries, and visualizations for regional and facility teams.
Identify performance gaps and support teams to interpret findings.
Promote routine use of data for decision-making at facility, council, and regional levels.
iii. Performance monitoring and facility-level tracking
Supports routine monitoring of program performance across key service delivery points.
Track performance across high-volume facilities and service delivery areas including ANC, labour wards, and neonatal units.
Monitor key service utilization and quality indicators such as facility deliveries, ANC coverage, and neonatal outcomes.
Support tracking of referral data and improve completeness of reporting.
Ensure timely availability of performance data for supervision and review.
Support implementation teams to translate data findings into practical corrective actions at facility level.
iv. Support to data review and learning processes
Facilitates structured data review and supports translation of findings into action.
Support organization and facilitation of facility, council, and regional data review meetings.
Ensure data used in review meetings is accurate, validated, and clearly presented.
Document action points, recommendations, and assigned responsibilities.
Track implementation status of agreed actions and provide updates to Regional Coordinator and MERL Manager.
Support facilities in documenting and following up actions from MPDSR reviews.
Contribute to documentation of lessons learned and emerging best practices.
v. Capacity building and mentorship
Strengthens data management and use capacity among facility and district teams.
Provide on-site and remote mentorship on data collection, reporting, and use.
Support training of facility staff, CHMTs, and RHMTs on data analysis and interpretation.
Strengthen capacity of teams to use routine data for planning and performance improvement.
Support integration of MEL practices within routine service delivery.
vi. Cross-functional coordination and reporting support
Supports alignment of MEL activities with implementation, communication, and reporting processes.
Work closely with implementation teams to ensure data reflects service delivery activities and supports improvement.
Provide validated data inputs to communication teams for reports, dashboards, and success stories.
Contribute to the preparation of monthly, quarterly, and annual reports.
Ensure consistency between reported data and source documents.
Support the timely submission of regional data inputs for program reporting.
vii. Supervision and support of data systems
Supports supervision of facility-level data processes and personnel.
Supervise and support facility-based data clerks on data collection, quality, and reporting.
Ensure proper use and management of facility registers and reporting tools, including newborn data systems.
Provide regular feedback to facility teams on data quality and performance.
Strengthen coordination between the facility, council, and regional data systems.
Qualifications and experience
Bachelor’s degree in Public Health, Statistics, Health Informatics, or related field.
Minimum of three (3) years of experience in monitoring and evaluation of health programs.
Experience working with DHIS2, HMIS, and routine health data systems.
Experience supporting data quality assessments and field-level data systems.
Experience in data compilation, basic analysis, and reporting.
Experience working with RMNCAH programs is an added advantage.
How to Apply
Suitably qualified candidates are encouraged to apply by submitting a cover letter and an updated Curriculum Vitae (CV) as one consolidated PDF document to hr@thaminiuhai.or.tz. The subject line of the email should clearly state the position applied for. Applicants are required to include three (3) professional referees with valid contact details in their CV.
Application Deadline
15th May 2026
Please Note:
Due to the anticipated high volume of applications, only shortlisted candidates will be contacted. If you have not been contacted by 19th May 2026, please consider your application unsuccessful.
Non-discrimination Statement:
Thamini Uhai's recruitment processes are driven by diversity, fairness, and merit, aligning with the organization's mission, vision, and values.
Partnership Program for Maternal and Newborn Health Improvement in Tanzania
Thamini Uhai has secured funding for the implementation of the Partnership Program for Comprehensive and Integrated Maternal and Newborn Health Improvement (Mjamzito na Mtoto Salama) in Tanzania. This ambitious five-year program, jointly supported by Bloomberg Philanthropies and the Gates Foundation, will be executed in three regions of Mainland Tanzania and will be implemented in two phases:
September 2025 to June 2027
July 2027 to June 2030
The program will be implemented in the following regions:
Geita
Katavi
Kigoma
This initiative aims to accelerate the achievement of 2030 SDG targets by improving maternal and newborn health outcomes in Tanzania. It will achieve this by strengthening the delivery of quality and respectful Emergency Obstetric and Newborn Care (EmONC), including postpartum hemorrhage (PPH) management, antenatal care, and comprehensive newborn care, with a special focus on scaling up care for small and sick newborns. The program will also provide strategic technical support to the Ministry of Health in reviewing technical guidelines and associated learning resources.
In line with this, Thamini Uhai is seeking to recruit qualified individuals for the following position:
Monitoring, Evaluation and Learning (MEL) Officer (1 position)
Position description
Department: Program
Reports to: Regional Program Coordinator
Dotted line report: Manager, Monitoring, Evaluation, Research and Learning (MERL)
Location: Geita
Assignment type: Full-time
Position summary
The Monitoring, Evaluation and Learning (MEL) Officer provides technical and operational support for implementation of MEL systems at regional, council, and facility levels. The role focuses on ensuring accurate, timely, and high-quality data collection, validation, and reporting, while strengthening the use of data for routine decision-making and service improvement.
Working under the administrative supervision of the Regional Program Coordinator and technical guidance of the MERL Manager, the officer supports routine data systems, including DHIS2 and MPDSR, and contributes to the implementation of program-specific assessments such as Health Facility Assessments (HFA) where applicable.
The role plays a key function in strengthening data use at the facility and district levels by supporting implementation teams to translate data into practical actions that improve service delivery, quality of care, and program outcomes across high-volume facilities.
Main duties and responsibilities
i. Data collection, management and quality assurance
Supports implementation of robust data systems to ensure the availability of high-quality data for program monitoring.
Support collection, validation, and reporting of program data across facilities, councils, and regions.
Ensure completeness, accuracy, and timeliness of data in routine systems, including HMIS/DHIS2.
Support routine Data Quality Assessments (DQAs) and follow-up actions.
Conduct data cleaning, verification, and validation during reporting cycles.
Ensure availability and correct use of standardized data collection tools and HMIS registers at facility level.
Support the collection and validation of MPDSR data at the facility and council levels.
ii. Data analysis, visualization and use
Supports analysis and interpretation of data to inform program performance and decision-making.
Support analysis of program data to track progress against indicators and targets.
Compile and summarize data for use in routine review meetings and reporting.
Develop simple dashboards, summaries, and visualizations for regional and facility teams.
Identify performance gaps and support teams to interpret findings.
Promote routine use of data for decision-making at facility, council, and regional levels.
iii. Performance monitoring and facility-level tracking
Supports routine monitoring of program performance across key service delivery points.
Track performance across high-volume facilities and service delivery areas including ANC, labour wards, and neonatal units.
Monitor key service utilization and quality indicators such as facility deliveries, ANC coverage, and neonatal outcomes.
Support tracking of referral data and improve completeness of reporting.
Ensure timely availability of performance data for supervision and review.
Support implementation teams to translate data findings into practical corrective actions at facility level.
iv. Support to data review and learning processes
Facilitates structured data review and supports translation of findings into action.
Support organization and facilitation of facility, council, and regional data review meetings.
Ensure data used in review meetings is accurate, validated, and clearly presented.
Document action points, recommendations, and assigned responsibilities.
Track implementation status of agreed actions and provide updates to Regional Coordinator and MERL Manager.
Support facilities in documenting and following up actions from MPDSR reviews.
Contribute to documentation of lessons learned and emerging best practices.
v. Capacity building and mentorship
Strengthens data management and use capacity among facility and district teams.
Provide on-site and remote mentorship on data collection, reporting, and use.
Support training of facility staff, CHMTs, and RHMTs on data analysis and interpretation.
Strengthen capacity of teams to use routine data for planning and performance improvement.
Support integration of MEL practices within routine service delivery.
vi. Cross-functional coordination and reporting support
Supports alignment of MEL activities with implementation, communication, and reporting processes.
Work closely with implementation teams to ensure data reflects service delivery activities and supports improvement.
Provide validated data inputs to communication teams for reports, dashboards, and success stories.
Contribute to the preparation of monthly, quarterly, and annual reports.
Ensure consistency between reported data and source documents.
Support the timely submission of regional data inputs for program reporting.
vii. Supervision and support of data systems
Supports supervision of facility-level data processes and personnel.
Supervise and support facility-based data clerks on data collection, quality, and reporting.
Ensure proper use and management of facility registers and reporting tools, including newborn data systems.
Provide regular feedback to facility teams on data quality and performance.
Strengthen coordination between the facility, council, and regional data systems.
Qualifications and experience
Bachelor’s degree in Public Health, Statistics, Health Informatics, or related field.
Minimum of three (3) years of experience in monitoring and evaluation of health programs.
Experience working with DHIS2, HMIS, and routine health data systems.
Experience supporting data quality assessments and field-level data systems.
Experience in data compilation, basic analysis, and reporting.
Experience working with RMNCAH programs is an added advantage.
How to Apply
Suitably qualified candidates are encouraged to apply by submitting a cover letter and an updated Curriculum Vitae (CV) as one consolidated PDF document to hr@thaminiuhai.or.tz. The subject line of the email should clearly state the position applied for. Applicants are required to include three (3) professional referees with valid contact details in their CV.
Application Deadline
15th May 2026
Please Note:
Due to the anticipated high volume of applications, only shortlisted candidates will be contacted. If you have not been contacted by 19th May 2026, please consider your application unsuccessful.
Non-discrimination Statement:
Thamini Uhai's recruitment processes are driven by diversity, fairness, and merit, aligning with the organization's mission, vision, and values.