Enterprise Data Architect

Job Purpose The Enterprise Data Architect designs, governs, and maintains our organization's enterprise-wide data architecture to support clinical, operational, financial, and analytical needs — ensuring healthcare data is structured, integrated, secure, and scalable to enable interoperability, regulatory compliance, and data-driven decision-making. This role plays a strategic part in aligning data architecture with organizational strategy, national data standards, and healthcare regulatory requirements in Saudi Arabia. Key Responsibilities 🔹 Enterprise Data Architecture Design - Define and maintain the enterprise data architecture blueprint (conceptual, logical, physical models) - Design scalable data platforms supporting HIS, EMR, ERP, data warehouses, and analytics ecosystems - Establish standards for data modeling, naming conventions, metadata, and data lineage 🔹 Data Integration & Interoperability - Design data integration frameworks across clinical and administrative systems - Support standards such as HL7, FHIR, ICD-10, and SNOMED - Ensure consistency and integrity of master and reference data 🔹 Data Governance & Compliance - Embed governance, data quality, and privacy-by-design principles into architecture - Ensure compliance with Saudi PDPL, NDMO, and MOH regulations - Partner with Data Quality and Data Protection teams 🔹 Analytics & Platform Enablement - Design architectures supporting BI, advanced analytics, and AI/ML platforms - Enable enterprise dashboards with trusted data sources - Support cloud, hybrid, and on-premise architectures per Saudi data residency requirements 🔹 Standards, Documentation & Roadmap - Maintain data architecture standards, principles, and reference architectures - Document data flows, system interfaces, and architectural decisions - Contribute to the enterprise data roadmap 🔹 Advisory & Stakeholder Engagement - Serve as trusted advisor to IT, analytics, clinical, and business teams - Review solution designs for architectural alignment - Support vendor selection and evaluation Requirements: Requirements Education & Certifications - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field - TOGAF Certification (highly desirable) - CDMP – Certified Data Management Professional (preferred) Experience - 8–12 years in data architecture, information architecture, or enterprise data management (healthcare sector preferred) - Strong knowledge of TOGAF and DAMA-DMBOK frameworks - Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) - Deep understanding of NDMO Data Architecture Domain and Saudi PDPL Skills - Strategic planning in healthcare/government sectors - Strong communication, mediation, and conflict resolution - Fluency in Arabic and English (verbal & written) - Proficiency in MS Office (Word, Excel, PowerPoint, Outlook) Location: Saudi Arabia Nationality: Saudi

Enterprise Data Architecture Design: Define and maintain the enterprise data architecture blueprint (conceptual, logical, physical models); Design scalable data platforms supporting HIS, EMR, ERP, data warehouses, and analytics ecosystems; Establish standards for data modeling, naming conventions, metadata, and data lineage. Data Integration & Interoperability: Design data integration frameworks across clinical and administrative systems; Support standards such as HL7, FHIR, ICD-10, and SNOMED; Ensure consistency and integrity of master and reference data. Data Governance & Compliance: Embed governance, data quality, and privacy-by-design principles into architecture; Ensure compliance with Saudi PDPL, NDMO, and MOH regulations; Partner with Data Quality and Data Protection teams. Analytics & Platform Enablement: Design architectures supporting BI, advanced analytics, and AI/ML platforms; Enable enterprise dashboards with trusted data sources; Support cloud, hybrid, and on-premise architectures per Saudi data residency requirements. Standards, Documentation & Roadmap: Maintain data architecture standards, principles, and reference architectures; Document data flows, system interfaces, and architectural decisions; Contribute to the enterprise data roadmap. Advisory & Stakeholder Engagement: Serve as trusted advisor to IT, analytics, clinical, and business teams; Review solution designs for architectural alignment; Support vendor selection and evaluation.