Senior Consultant - Healthcare Data Architecture (Germany/EU)

About the role

EY is hiring a Senior Consultant for its Digital Health Excellence Center (DHEC) to advise healthcare providers, public sector bodies, health systems and digital health stakeholders on designing modern healthcare data ecosystems that enable interoperability, advanced analytics and digital transformation across Germany and the EU. The role bridges business, clinical and technology domains while ensuring compliance with European regulatory requirements.

Key responsibilities

• Advise on enterprise data strategies, target-state architectures and digital transformation initiatives, and run stakeholder workshops to turn business and clinical needs into scalable data solutions
• Develop data governance, data quality and information management frameworks aligned with healthcare best practice, and support business cases and roadmaps
• Design healthcare data architectures integrating clinical, operational and administrative data, and build logical and physical data models
• Define interoperability approaches using standards such as HL7 FHIR, enabling data exchange across EHRs, clinical systems and public health ecosystems
• Advise on cloud-based platforms (Azure, AWS, Google Cloud), data lakes, data warehouses, ETL/ELT frameworks, API-enabled architectures and AI-enabled analytics
• Ensure compliance with GDPR and EU health data regulations, covering data privacy, security, governance and risk management
• Lead workstreams in complex transformation programs, mentor junior consultants, and support proposals, business development and client relationships

Required profile

• 4-7 years of experience in healthcare consulting, healthcare IT, data architecture, health informatics or digital transformation
• Experience designing enterprise data solutions in healthcare or highly regulated industries, and working with multidisciplinary business and technology stakeholders
• Bachelor's or Master's degree in Computer Science, Health Informatics, Information Systems, Engineering, Data Science or a related field
• German and English at C1 level or above
• Preferred: deep healthcare data architecture expertise and experience in Agile project environments

Required skills

• Data architecture and data modelling
• Healthcare interoperability, including HL7 and FHIR
• SQL and NoSQL databases
• ETL/ELT and data integration platforms
• Cloud platforms: Azure, AWS and GCP
• Data governance and master data management
• Healthcare analytics and AI-enabled data solutions