Barcelona Healthcare Data Architect B 08006

Job description

Healthcare Data Architect Empresa: B. Braun Medical, S.A. U. Ubicación del puesto: Barcelona, Barcelona, Spain Área funcional: Tecnología de la información Modelo de trabajo: Híbrido ID de la demanda: 14045 About the Role As a Healthcare Data Architect within the Group Digital Department, you will play a key role in shaping B. Braun's Digital Foundation by establishing a consistent, interoperable, and business-driven healthcare data architecture across digital health solutions, analytics platforms, and patient-centric services. Functionally guided by the Center of Competence (CoC) Corporate Data Management , you will work closely with product teams, healthcare experts, engineers, architects, and governance stakeholders to ensure that healthcare data can be understood, trusted, governed, exchanged, and reused across the organization. You will be responsible for defining and evolving the healthcare data architecture supporting the Digital Foundation , including the Data Intelligence Platform (DIP) and Data Hub. Your primary focus will be enabling semantic interoperability between healthcare systems, medical devices, clinical workflows, digital health applications, and analytics solutions. The role combines strong healthcare domain expertise with data architecture, interoperability, analytics, and governance capabilities. You will translate clinical and business requirements into conceptual and logical information models, canonical healthcare data structures, reusable data products, and standards-aligned specifications that support advanced analytics, AI, reporting, and secondary use of healthcare data. You will work with healthcare interoperability standards and terminologies including: HL7 FHIR HL7 v2 SNOMED CT LOINC ICD UCUM DICOM / DICOMweb IHE Profiles OMOP Common Data Model The ultimate goal of the role is to ensure that healthcare data remains semantically consistent, interoperable, privacy-compliant, and reusable across the entire healthcare data lifecycle. Key Responsibilities Healthcare Data Architecture Define and maintain the target healthcare data architecture for Digital Foundation solutions. Design conceptual, logical, and canonical healthcare information models that accurately represent healthcare concepts, entities, workflows, and business meaning. Ensure alignment between healthcare business requirements, analytical models, interoperability standards, and technical implementations. Develop architecture blueprints and data architecture principles supporting healthcare data integration, sharing, analytics, and AI initiatives. Contribute to the long-term evolution of the organization's healthcare data ecosystem and interoperability strategy. Semantic Modeling and Information Design Translate healthcare and business requirements into governed data requirements and information models. Establish common healthcare vocabularies and semantic standards across products and platforms. Design reusable canonical models for patients, encounters, observations, medications, procedures, devices, organizations, practitioners, and related healthcare domains. Define relationships, cardinalities, identifiers, references, provenance, and lifecycle management of healthcare information. Ensure preservation of clinical meaning throughout data transformations and integrations. Healthcare Interoperability Define and govern mappings between source systems, healthcare standards, analytical models, and data products. Apply healthcare interoperability standards including: HL7 FHIR HL7 v2 DICOM / DICOMweb IHE Profiles OMOP Support interoperability initiatives across hospitals, healthcare providers, medical devices, patient-facing applications, and analytics platforms. Identify and resolve semantic interoperability gaps between systems and domains. Provide architectural guidance for API-based, event-driven, and standards-based healthcare integrations. FHIR Architecture and Governance Author, review, govern, and validate FHIR implementation artifacts, including: StructureDefinitions Profiles Extensions ValueSets CodeSystems ConceptMaps Examples Implementation Guides Define conformance rules and implementation guidance for healthcare solutions. Review FHIR implementations to ensure consistency, interoperability, and compliance with defined standards. Support establishment of FHIR governance processes, implementation patterns, and best practices. Terminology and Clinical Semantics Define terminology strategies and governance processes. Collaborate with clinical experts and domain specialists to ensure accurate representation of healthcare concepts. Maintain mappings and relationships across: SNOMED CT LOINC ICD UCUM Other healthcare code systems Define coding and terminology binding strategies supporting interoperability and analytics. Ensure consistency of healthcare concepts across operational and analytical environments. Metadata, Governance, and Data Quality Operate and continuously enhance the Enterprise Data Catalog (dataspot). Document and govern: Business definitions Data assets Data ownership Data lineage Data quality rules Data products Healthcare concepts Establish governance mechanisms for healthcare data products and interoperability assets. Define semantic quality controls and validation approaches. Drive adoption of metadata management, lineage, and traceability practices. Analytics and Data Hub Architecture Define and evolve healthcare data structures supporting analytics and AI use cases. Contribute to the architecture of the Data Hub and related analytical platforms. Design healthcare data products enabling: Reporting Clinical analytics Operational analytics Population health analytics AI and machine learning initiatives Support OMOP and other analytical standards when relevant. Align operational healthcare systems with analytical data models and data products. Privacy, Compliance, and Security Ensure privacy-by-design principles are incorporated into healthcare data architectures. Support architecture decisions regarding: Data minimization Pseudonymization Anonymization Consent management Data retention Access control Assess implications of regulations and frameworks such as: GDPR EHDS HIPAA (where relevant) Medical device regulations Collaborate with security and privacy experts on sensitive healthcare data architectures. Stakeholder Collaboration Work closely with: Clinicians Healthcare domain experts Product owners Data stewards Enterprise architects Integration specialists Data engineers Analytics teams Governance functions Facilitate discussions to clarify healthcare semantics and business meaning. Communicate complex healthcare, semantic, and technical topics to diverse audiences. Support project teams in architectural decision-making and standards adoption. Must Have Qualifications Professional Experience Several years of experience in Healthcare Data Architecture, Clinical Informatics, Health Information Management, Healthcare Interoperability, or a related field. Proven experience designing healthcare information models and data architectures. Experience working within healthcare, med-tech, pharmaceuticals, hospital systems, or digital health environments. Healthcare Data Modeling Strong expertise in: Conceptual data modeling Logical data modeling Canonical information modeling Domain-driven design Semantic modeling Business architecture Healthcare Interoperability Practical experience with HL7 FHIR, including: Resources Profiles Extensions Terminology bindings REST APIs Implementation Guides Strong understanding of healthcare interoperability principles and standards-based integrations. Healthcare Terminologies Working knowledge of: SNOMED CT, LOINC, ICD and UCUM Healthcare Domain Knowledge Strong understanding of: EHR / EMR systems Hospital Information Systems (HIS) Clinical workflows Care pathways Medical-device generated data Healthcare operational processes Data Governance Experience with: Metadata management Data governance Data lineage