Data Quality & Systems Specialist

About the job

Job Title: Data Quality & Systems SpecialistDepartment: Technology Data & SystemsReports To: Head of IT Position OverviewThe Data Quality & Systems Specialist will strengthen the organizations data foundation by ensuring that program, operational, and institutional data is accurate, structured, and reliable. The role focuses on improving data quality, integrating systems, standardizing data practices, and enabling effective reporting and decision-making across departments.This position plays a critical role in building the infrastructure required for reliable analytics, automation, and future AI-enabled systems. Key ResponsibilitiesData Audit & Mapping

• Conduct a comprehensive inventory of organizational data sources, including systems, spreadsheets, forms, and databases.
• Map how data flows across departments, identifying sources, usage points, and dependencies.
• Evaluate datasets for completeness, accuracy, consistency, and reliability.
• Prepare a consolidated data landscape overview for leadership.Data Standardization & Quality Management
• Establish standard data formats, field definitions, and naming conventions across programs and departments.
• Identify and resolve duplicate or inconsistent records through structured data-cleaning initiatives.
• Develop and maintain a centralized Data Dictionary for key datasets.
• Implement validation rules and controls at data entry points to improve data accuracy.
• Conduct periodic data quality reviews and provide improvement recommendations.Systems Integration & MIS Management
• Manage and maintain the organizations Management Information System (MIS).
• Coordinate integrations between key systems such as HRMS, program databases, survey tools, donor systems, and accounting software.
• Identify opportunities to reduce manual data transfers by improving system connectivity and workflows.
• Maintain documentation of system integrations and data architecture.Master Data & Beneficiary Records
• Support the development of a unified beneficiary identification framework across programs.
• Maintain centralized beneficiary records and ensure consistency across program databases.
• Develop protocols for linking historical records and maintaining data continuity.Data Governance & Compliance
• Develop and maintain organizational data governance practices, including access control and data ownership guidelines.
• Train departmental data stewards on data management practices and quality standards.
• Ensure compliance with relevant data protection regulations and internal policies.
• Support incident response protocols related to data security or breaches.Reporting Infrastructure