Snr Monitoring & Evaluation Manager at Anova Health Institute

Key Duties and Responsibilities

Quality Data Collection and Reporting co-ordination

• Ensure timely and complete submission of all required weekly, monthly, and quarterly reports.
• Define data collection methods and sources for each program indicator.
• Define a data collection schedule in accordance with program management need.
• Ensure that data flow and internal reporting requirements are defined, and clear guidelines, SOPs and other tools are in place for data collection, aggregation and reporting.
• Standardize paper tools, electronic systems (DOH & Program) and SOPs to ensure they are harmonized across all sites for data collection, processing and analysis.
• Ensure data sources collect the required information to the agreed minimum quality standards.

Data Quality Assurance

• Ensure appropriate data quality assurance systems, measures and tools are in place and are monitored at all levels
• Identify shortcomings in the processes and remedy these by developing protocols to ensure regular, accurate data collection and reporting and continually improve them for efficiency.

Data Analysis and Reporting for Programme Performance Improvement

• Monitor adherence to reporting timelines as well as quality of data submitted
• Work closely with the Public Health and Data /Reporting Teams to ensure that all program data are reported according to the required quality standards and timelines
• Ensure correct and complete weekly, monthly, quarterly reports are submitted on time
• Analyse weekly, monthly, quarterly programme data and provide performance against targets and other reports to implement teams as required.
• Provide data analytic support to M&E managers and other programme team members as required.

Capacity Building and Support to Programme Stakeholders (Anova teams, DOH, and other stakeholders)

• Build capacity and provide supportive supervision for Anova and DOH M&E staff on data collection and management, reporting processes, systematic use of defined tools and M&E.
• Develop training curricula and provide training for M&E staff
• Develop tools that support data use within programs
• Build capacity of the programme teams to use data in a strategic manner to inform programme decision making
• Report regularly to senior management on data collection and quality, adherence to standards and timelines, and on reports, processes and systems
• Promote the use of data at various levels of programme implementation through coaching and mentoring team members on data use
• Be an active member of relevant Anova and DoH Technical Working groups or learning networks.

Supervision and Mentoring of M&E Unit

• Set performance objectives for members of the M&E unit and provide supervision, performance management, mentoring and coaching
• Hold regular meetings with the M&E managers/M&E officers to supervise progress on key deliverables
• Proactively manage operational issues to ensure the M&E unit is able perform their work (e.g. HR allocation, IT resources, supplies procurement, etc.)
• Create a cohesive team environment through fostering open communication and providing constructive feedback
• Conduct visits to sites to provide supervision, operational assistance, training and support, as well as to ensure that M&E tools are understood and being implemented effectively
• Identify professional development opportunities for M&E staff focusing on knowledge and skills related to monitoring, evaluation and learning

Essential qualifications, skills and experience:

• A degree in Public Health, epidemiology, information systems, science or project management is essential.
• A Master’s degree in management or monitoring and evaluation or analytics is advantageous.
• Minimum of six years’ experience focused on operationalizing performance indicators and, preferably, working within/extracting data from DATIM, TIER.Net, etc.
• At least 8 years of progressively responsible work experience in designing, establishing, and managing monitoring and evaluation systems, ensuring data quality, and managing data-intensive, performance-based programmes, preferably large-scale PEPFAR-funded programmes.
• Working knowledge of South Africa’s health information systems and monitoring and evaluation processes as they relate to data collection for performance-based reporting on the NSP
• Experience in leading and motivating a technical team composed of several interdisciplinary technical experts, and to be adept at managing competing deadlines and priorities
• Ability to work across business unit, capture and disseminate lessons learned to ensure the continual improvement of data collection processes and outputs
• Ability to portray complex data sets in easy-to-understand formats including visualizations
• Well-organized with an ability to handle a large workload, deliver on short deadlines and work independently.
• Advanced computer skills, especially MS Excel.