Data Quality Specialist job at Palladium

About Palladium

Operating in over 50 countries, Palladium is a global consulting and implementation company working in partnership with governments, businesses, investors, and communities to design and deliver solutions that create lasting positive impact. We address some of the world’s most complex challenges across infrastructure, economic growth and natural capital, health, energy, climate and environment, and digital transformation—strengthening systems, institutions, and markets to support inclusive and sustainable development. Our more than 2,100 staff worldwide work as trusted advisors across diverse contexts, combining deep technical expertise, implementation techniques, and innovative technology to deliver locally informed, client-focused solutions that help organizations achieve measurable, sustainable impact.

Palladium is part of GISI’s global family of companies, which aims to create solutions for the world’s most complex challenges. With annual revenues of $14 billion, GISI’s approximately 15,000 employees are engaged in projects across 100 countries worldwide providing construction, program/project management, and engineering consulting services.

Project Background

Data-Activated Architecture for Resilient Transition (DART) supports the Ministry of Health (MOH) to strengthen and scale interoperable, fit-for-purpose digital health systems. The project supports facility digitization and EMR readiness; National Data Warehouse (NDWH) stabilization; data-center design and cybersecurity; Health Information Exchange (HIE) operations and priority integrations; workforce certification; survey modernization; responsible AI adoption; and service-delivery data reporting performance. The project is designed to build on MOH-owned systems, repositories, standards, and governance structures, with progressive transfer of capability to government and Ugandan institutions. Project period is anticipated 2026–2030, beginning with a six-month foundation phase.

Note: All positions are subject to award, final organizational design, and Palladium hiring procedures. Reporting lines may be adjusted during mobilization. “MOH” includes the responsible Directorate/Department of Health Informatics (DHI) and other government units as applicable.

Position Summary

The Data Quality Specialist leads DART’s approach to improving the accuracy, completeness, consistency, timeliness, and use of data across priority national systems. The role strengthens automated data validation and source-system improvement loops while supporting MOH-led data quality reviews, root-cause analysis, and facility and district corrective actions.

Location:

This role and project will be based out of Kampala, Uganda with national and regional travel as required. Candidates must have current work authorization in Uganda as visa sponsorship cannot be considered.

Reporting And Supervision

This role will report to the Data Engineering Lead, DART

Primary Responsibilities

• Develop and implement a data quality framework covering EMR, DHIS2/eHMIS, eIDSR, eCHIS, laboratory, supply-chain, NDWH, and other approved systems
• Define data-quality rules, thresholds, exception workflows, reconciliation procedures, and escalation pathways in collaboration with MOH system owners
• Support automated validation controls in data pipelines and dashboards, including completeness, duplication, timeliness, validity, consistency, and referential-integrity checks.
• Conduct data quality assessments, validation reviews, data audits, and root-cause analyses with MOH, district, and facility teams
• Support service-delivery reporting performance targets and improvement plans for electronic reporting, surveillance, and community reporting.
• Track corrective actions and ensure issues are resolved at the appropriate source system rather than only cleaned downstream
• Contribute to verification evidence for data quality, reporting performance, HIE operations, and milestone achievement
• Build capacity of MOH and partner staff in data-quality management, data interpretation, and quality- improvement practices

Qualifications And Experience

• Bachelor’s degree in public health, statistics, health informatics, epidemiology, data science, or related field
• At least 4 years of experience in routine health information systems, data quality, M&E, data management, or analytics
• Experience with DHIS2, EMRs, eIDSR, eCHIS, data quality assessments, and indicator validation is highly desirable
• Strong skills in Excel, SQL, data visualization, analysis, and report writing
• Strong facilitation, problem-solving, and stakeholder engagement skills
• Professional fluency in English

Applications will be accepted on a rolling basis. We encourage you to apply early as the position may close once a suitable candidate is found. Please note that only shortlisted candidates will be contacted.

• Develop and implement a data quality framework covering EMR, DHIS2/eHMIS, eIDSR, eCHIS, laboratory, supply-chain, NDWH, and other approved systems
• Define data-quality rules, thresholds, exception workflows, reconciliation procedures, and escalation pathways in collaboration with MOH system owners
• Support automated validation controls in data pipelines and dashboards, including completeness, duplication, timeliness, validity, consistency, and referential-integrity checks.
• Conduct data quality assessments, validation reviews, data audits, and root-cause analyses with MOH, district, and facility teams
• Support service-delivery reporting performance targets and improvement plans for electronic reporting, surveillance, and community reporting.
• Track corrective actions and ensure issues are resolved at the appropriate source system rather than only cleaned downstream
• Contribute to verification evidence for data quality, reporting performance, HIE operations, and milestone achievement
• Build capacity of MOH and partner staff in data-quality management, data interpretation, and quality- improvement practices

• Strong skills in Excel, SQL, data visualization, analysis, and report writing
• Strong facilitation, problem-solving, and stakeholder engagement skills
• Professional fluency in English

• Bachelor’s degree in public health, statistics, health informatics, epidemiology, data science, or related field
• At least 4 years of experience in routine health information systems, data quality, M&E, data management, or analytics
• Experience with DHIS2, EMRs, eIDSR, eCHIS, data quality assessments, and indicator validation is highly desirable