Anova Health Institute

Monitoring and Evaluation (M&E) Manager – Advanced HIV Disease Project (Mpumalanga)

Expired on: Jul 30, 2026
Job Type: Fixed Term
Job Location: Mpumalanga

1. Main Job Purpose

Anova Health Institute is implementing an Advanced HIV Disease (AHD) project aimed at improving the prevention, identification, monitoring, and management of AHD through improved guideline implementation, clinical decision support, clinician learning, and client engagement. The project will support implementation of South Africa’s updated National Consolidated HIV Guidelines, including the newly introduced AHD chapter, in two demonstration districts.

The M&E Manager will lead routine programme monitoring, data quality, performance reporting and data-use activities for the AHD programme. The role will support Anova and the Department of Health to improve the visibility, completeness and use of AHD data; monitor implementation fidelity; assess intervention uptake and outcomes; and generate evidence to support adaptive implementation, the nine-month decision gate and future scale-up.

The M&E Manager will be responsible for supporting the Programme Team and Department of Health with monitoring, evaluation, and health information systems, with a focus on Advanced HIV Disease.

2. Key Performance Areas

Key Performance Areas Tasks and Activities
Data management and reporting
  • Coordinate complete, accurate and timely routine programme reporting
  • Support Programme teams to produce data quality and performance narratives, including key gaps and corrective actions.
  • Maintain an organised, secure and up-to-date programme data repository.
  • Ensure correct and complete performance reports are produced on time.
  • Generate performance against target reports and dashboards for programme team and DoH teams
Data quality
  • Conduct routine and targeted data quality audits (DQAs) of reported data in conjunction with program managers and Department of Health
  • Verify and triangulate reported data across relevant programme and routine information sources.
  • Coordinate quality assurance activities and participate routine data review meetings
  • Identify data  quality and capacity gaps and support the implementation and monitoring of corrective actions.
Continuous quality improvement

 

  • Develop and communicate district performance dashboards highlighting key performance gaps, trends and good practices.
  • Collaborate with Department of Health and programme teams to perform analytics and increase data visibility and utilization at sub district and district levels
  • Facilitate data-driven  quality improvement processes to address identified programme and service-delivery gaps.
 M&E Capacity Building and Technical Support
  • Implement M&E capacity building and mentoring plans for Anova and DOH
  • Participate in  relevant M&E learning and knowledge-sharing forums  .
  • Provide on-going M&E technical advice to Anova staff and DOH.
  • Support the implementation of standardised M&E frameworks, tools and approaches for data collection, monitoring and reporting.
  • Identify M&E capacity gaps and provide targeted support for data quality and data-use improvement initiatives.
Work closely with Programme and Technical Advisory teams
  • Collaborate with programme and technical advisory teams to implement programme M&E framework.
  • Work with  relevant stakeholders   to  align M&E frameworks and activities
  • Escalate technical M&E issues and risks requiring advisory or programme-level intervention.

3. Qualifications and Experience

  • Advanced degree in public health, public administration, sociology, social work or a related field.
  • Degree in either: Monitoring & Evaluation, Computer Sciences, Information Systems, Data Management Science, Public Health, Health Informatics, Statistics/ Mathematics
  • At least 5 years of experience with Health Indicators, M&E, Data quality and reporting to DOH or PEPFAR
  • Experience with DHIS, Tier.NET, ETR.NET, DATIM and health indicators
  • Experience in M&E Capacity building for facility level data capturing teams

4. Key Competencies

Generic Skills

  • Outstanding communication skills and report writing skills
  • Strong interpersonal and teamwork skills,
  • Ability to work proactively and collaboratively with people at all levels in the organisation
  • Ability to multitask and prioritise
  • Strong personality and work ethics, with an ability to maintain confidentiality
  • Analytical thinking and attention to detail
  • Ability to work with a team environment and independently

Technical Skills

  • Advanced Computer Skills, especially MS Excel
  • Knowledge of best practices
  • Experience in a clinical research environment
  • Experience implementing M&E plans
  • Experience with TIER.Net, DHIS, Clinical stationery, DQA and Data feedback Experience training and mentoring in Monitoring and Evaluation (M&E) and familiarity with South Africa’s health information at public-sector facilities

 

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