Vacancy for Director - Monitoring, Evaluation and Learning at Technical Advice Connect Limited / GTE

Company Description:

Technical Advice Connect Limited/GTE (TA Connect) is a non-profit organization registered in 2021 and based in Nigeria to bring innovative solutions to the provision of Technical Assistance (TA) services across Africa. TA Connect was established by the Bill and Melinda Gates Foundation (BMGF) to deliver tailored and cohesive support for states in Nigeria by strengthening their PHC systems and enhancing PHC service delivery. As an innovative platform, we respond to state TA priorities to promote sustainable improvements in state Primary Healthcare (PHC) systems’ performance and increase uptake of Reproductive, Maternal, Newborn, Child, and Adolescent Health and Nutrition (RMNCAH+N) services.

We are recruiting to fill the position below:

Job Title: Director - Monitoring, Evaluation and Learning

Job Location: Abuja
Employment Type: Full-time

Job Description: 

• The scope of work (SOW) sets forth the services to be provided by the Director, Monitoring, Evaluation, and Learning, to Technical Advice Connect LTD/GTE (TAConnect), a non-profit organization registered and based in Nigeria to bring innovative solutions to the provision of Technical Assistance (TA) services to states in Nigeria.

Job Responsibilities

• The Director of Monitoring, Evaluation, and Learning will lead the design and implementation of the program monitoring and evaluation framework of the anticipated USAID-funded Strengthening Quality of Care through Primary Health Care Activity in Nigeria and information system to track delivery against targets, outcomes, and impacts. The position oversees the program’s collaborating, learning, and adapting (CLA) process in collaboration with the DCOP/Technical Director.

Principal Duties and Responsibilities (Essential Functions)

• Ensure that the program’s collaborating, learning, and adapting (CLA) approach is applied with consistency and rigor; work with the leadership team to apply program learnings in pursuit of adaptive management.
• Lead analysis of data collected for assessment of progress and areas of improvement.
• Guide reporting processes amongst technical staff and consolidate program reports, promote learning and knowledge sharing of best practices and lessons learned.
• Ensure the quality of data collected to measure project performance and results, through proper ongoing data management, SOPs for data flow and Quality Assurance, periodic Data Quality Audits (DQAs), and adequate orientation/training of staff, partners, and beneficiaries at all levels of the project.
• Champion knowledge sharing and learning across project, sub-partner, and MOH partners. Explore innovative ways to encourage collaborative learning.
• Manage and oversee multiple data systems to efficiently collect, link and analyze data at the individual, provider and health facility level using a variety of platforms. Ensure high-quality project data are collected and managed in a way that maximizes their use for project learning.
• Oversee and contribute to operational research, implementation, science, and embedded or partner studies. Lead or contribute to knowledge products arising from project learning including developing policy or technical briefs, presentations, webinars, training materials, manuscripts, blogs, etc.
• Lead the design and implementation of the project’s monitoring and reporting activities in Nigeria, including development of the project’s results framework and Performance Monitoring Plan; development and monitoring of project indicators; oversight of routine data collection and data management; data quality assessments (DQA); synthesis and analyses of data and presentation of project lessons and results; and reporting, both internally and externally as required/needed.
• Lead the design and implementation of the project’s evaluation activities (as applicable), including periodic reviews, performance evaluations (baseline, midline, endline), outcome and impact evaluations.
• Ensure the quality and timely preparation and submission of workplans, data sets, progress reports, and papers summarizing project results and evidence, and other deliverables, as required. This includes ensuring effective data analysis/interpretation and data use to inform management decision-making, support quality improvement efforts, and contribute to broader learning.
• Develop and oversee implementation of strategies for capacity strengthening (as needed) of staff, implementing partners, government counterparts, and other stakeholders in MEL systems/tools, data management, health informatics, data analysis and use for program planning and improvements, and other priority areas/skills.

Job Requirements:

• Knowledge of major evaluation methodologies (e.g., qualitative, quantitative, mixed method, and impact) and data collection and analysis methodologies.
• Extensive knowledge and experience with USG-funded program reporting.
• Demonstrated supervisory skills; and ability to work well within a team.
• Education: Master's Degree in Epidemiology, Public Health, or a related field.
• Experience: Minimum of 10 years experience in public health, with at least 3 years as a senior management staff in a large public health program, with extensive experience managing similar projects.
• Progressive experience in project design, implementation, monitoring, evaluation, and research of health development programs of similar scope, size, and complexity, including a firm command of monitoring and evaluation approaches for improvements in quality integrated service and support programs in Nigeria or a similar setting.

Job Application Deadline:
22nd May, 2024 at 11:59 PM Nigerian Time.

Method of Application:
Interested and qualified candidates should send their Application and updated resume and a cover letter detailing their relevant experience to: hr@taconnect-ng.org using "Director, Monitoring, Evaluation, and Learning - USAID STRENGTHENING QUALITY OF CARE THROUGH PRIMARY HEALTH CARE" as the subject of the mail.

Note

• Applications will be reviewed on a rolling basis; therefore, early submission is advised
• Only shortlisted candidates will be contacted.