Health Data Quality & Standards Expert
Role Overview
Join a large-scale eHealth programme as a Health Data Quality & Standards Expert (Expert / Lead).
Own system-wide health-data quality, standards, architecture, and conformance to support clinical, operational, and policy use.
Key Skills for This Role
Full Job Posting
Role overview
Join a large-scale eHealth programme as a Health Data Quality & Standards Expert (Expert / Lead).
Own system-wide health-data quality, standards, architecture, and conformance to support clinical, operational, and policy use.
Requirements
- Bachelor’s degree in Business Administration, Information Management, or a related discipline.
- At least 15 years of experience in healthcare informatics.
- Practical understanding of HL7, FHIR, and health-data standards.
- Experience leading data-quality programmes, data architecture, governance, issue remediation, and standards implementation.
- Proficiency in data analysis methods and healthcare applications.
Key skills
- Data-quality dimensions, controls, metrics, and scorecards; profiling, validation, cleansing, standardisation, and reconciliation.
- Root-cause analysis, corrective actions, and issue governance; HL7/FHIR conformance and terminology and reference-data standards.
- Enterprise data models, canonical schemas, and architecture artefacts; metadata, lineage, MDM/RDM, and governance policies.
- Training, reporting, and stakeholder conformance management.
Preferred qualifications
- Healthcare data architecture or standards certification.
- Experience with large-scale health datasets, registries, HIE, or MPI.
- SQL, Power BI, or data-quality or profiling tools.
- Multi-provider data-standardisation experience.
Location
- The posting lists Doha, Qatar; it does not state a workplace arrangement.
Responsibilities
- Own system-wide health data quality, standards, architecture, and conformance.
- Ensure health data is complete, accurate, consistent, interoperable, and suitable for clinical, operational, and policy use.
- Lead data-quality programmes and implement data-quality dimensions, controls, metrics, and scorecards.
- Lead data profiling, validation, cleansing, standardisation, and reconciliation.
- Conduct root-cause analysis, corrective actions, and issue governance.
- Manage HL7/FHIR conformance and terminology and reference-data standards.
- Develop and maintain enterprise data models, canonical schemas, and architecture artefacts.
- Manage metadata, data lineage, MDM/RDM, and data-governance policies.
- Provide training and reporting and manage stakeholder conformance.
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