Role Summary 

• The Technical Associate Quality Improvement, Data & Integrated Health Services will support the implementation of Routine Data Quality Assessments RDQAs and other technical activities aimed at improving data quality and programme performance across supported health facilities and implementing partners. 
• The role is hands-on and field-oriented, combining technical assessment, data validation, stakeholder engagement, documentation, and quality improvement support. Working closely with AHFID’s technical team, implementing partners, programme managers, and health facility personnel, the Associate will help ensure that programme data accurately reflects service delivery, supports informed decision-making, and meets established quality standards. 
• This is an associate-level technical role, ideal for an early- to mid-career public health professional seeking practical experience in health systems strengthening, data quality improvement, and integrated health programme implementation.

Key Responsibilities 

Routine Data Quality Assessment 

• Support the planning, coordination, and implementation of Routine Data Quality Assessments RDQAs across supported programme sites. 
• Conduct source document verification and validate reported programme data against primary records and reporting tools. 
• Assess data quality using established RDQA methodologies and identify gaps related to data accuracy, completeness, consistency, timeliness, and integrity. 
• Document assessment findings and support the development of actionable recommendations for improving data quality. 

Data Validation & Quality Improvement 

• Review, validate, and reconcile programme datasets to identify inconsistencies, discrepancies, and reporting errors. 
• Support routine data cleaning and verification activities to improve the reliability of programme data. 
• Work with implementing partners and health facility teams to address identified data quality issues and support continuous quality improvement initiatives. 
• Monitor the implementation of agreed data quality improvement actions and document progress. 

Technical Support & Stakeholder Engagement 

• Work closely with implementing partners, programme managers, and health facility personnel throughout assessment and quality improvement activities. 
• Support technical discussions, review meetings, and feedback sessions following field assessments. 
• Provide on-site technical support to strengthen routine data management practices and promote adherence to reporting standards. 
• Foster collaborative working relationships with programme stakeholders to facilitate effective implementation of technical activities. 

Monitoring, Documentation & Reporting 

• Prepare high-quality field reports, assessment summaries, and technical documentation following RDQA activities. 
• Maintain accurate records of assessment findings, recommendations, and follow-up actions. 
• Support the preparation of technical presentations, progress reports, and other project deliverables. 
• Escalate emerging implementation risks, data quality concerns, or operational challenges to the technical team. 

Required Qualifications & Experience

• Master’s degree or nearing completion of a Master’s in Public Health, Epidemiology, Health Information Management, Health Policy, Monitoring & Evaluation, Biostatistics, or a related field. 
• 0–3 years of relevant experience supporting public health programmes, health systems strengthening, monitoring and evaluation, or technical programme implementation. 
• Demonstrated experience conducting or supporting Routine Data Quality Assessments RDQAs, Data Quality Assessments DQAs, or similar data verification exercises. 
• Experience working with implementing partners, health facilities, programme managers, or government health stakeholders. 
• Familiarity with Sexual and Reproductive Health SRH, Primary Health Care, or other integrated health service programmes is highly desirable. 

Key Skills & Competence

• Knowledge of Routine Data Quality Assessment RDQA methodologies and health information systems. 
• Strong data validation, verification, analytical, and problem-solving skills. 
• Excellent attention to detail and commitment to data accuracy. 
• Strong written and verbal communication skills, including technical report writing. 
• Ability to work independently while coordinating effectively across multidisciplinary teams. 
• Strong stakeholder engagement and interpersonal skills. 
• Proficiency in Microsoft Office Suite, particularly Microsoft Excel; familiarity with DHIS2, KoboToolbox, or other digital health platforms is an added advantage.