AI And DATA-Healthcare-Manager
EY
14 days+
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Job summary
EY is seeking an experienced healthcare data architect and integration specialist to shape enterprise data solutions within regulated healthcare environments. You will design logical and physical data models, integrate diverse data sources, and work with standards like HL7 v2 and FHIR.
The role requires collaboration with multidisciplinary teams and leadership in architecture discussions. The candidate should have strong experience with Mirth Connect, Rhapsody, Cloverleaf, or InterSystems IRIS
Qualifications
- Experience in healthcare consulting, healthcare IT, data architecture, health informatics, data management, or digital transformation.
- Strong experience in data architecture and data modelling, including logical and physical data models.
- Experience designing enterprise data solutions within healthcare or another highly regulated industry.
- Experience integrating clinical, operational, administrative, structured, and unstructured data sources.
- Experience with healthcare interoperability standards, including HL7 v2 and FHIR, and with XML-based healthcare data formats.
- Experience with healthcare interface engines and interoperability platforms such as Mirth Connect, Rhapsody, Cloverleaf, InterSystems IRIS for Health, or equivalent integration suites.
- Experience designing data lakes, data warehouses, ETL/ELT frameworks, APIs, and data integration solutions.
- Experience working with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
- Experience with SQL and NoSQL databases.
- Experience in data governance, data quality, information management, and master data management.
- Understanding of healthcare analytics, advanced reporting, and AI-enabled data solutions.
- Knowledge of GDPR, healthcare data regulations, data privacy, data security, governance, and risk management considerations.
- Experience facilitating stakeholder workshops and translating business and clinical requirements into technical architecture and data solutions.
- Experience participating in or driving architecture discussions, technical solutioning, roadmap development, and implementation planning.
- Experience leading project workstreams and working with multidisciplinary business, clinical, and technology stakeholders.
- Experience guiding team members and reviewing architecture and technical deliverables.
- Experience working in Agile project environments.
- Educational background in Computer Science, Health Informatics, Information Systems, Engineering, Data Science, or a related field.
Skills
Healthcare consulting
Data architecture
Data modelling
Health informatics
Data management
Digital transformation
Interoperability standards
HL7 v2 / FHIR
XML data formats
Healthcare interface engines
Mirth Connect
Rhapsody
Cloverleaf
InterSystems IRIS for Health
Data lakes / data warehouses
ETL/ELT
APIs & data integration
Cloud platforms (Azure/AWS/GCP)
SQL / NoSQL databases
Data governance & data quality
GDPR & data privacy
Stakeholder workshops
Agile project environments
Education
Bachelors in Computer Science / Health Informatics / Information Systems / Engineering
Tools
Mirth Connect
Rhapsody
Cloverleaf
InterSystems IRIS for Health
Job description
Qualifications
- 812 years of experience in healthcare consulting, healthcare IT, data architecture, health informatics, data management, or digital transformation.
- Strong experience in data architecture and data modelling, including logical and physical data models.
- Experience designing enterprise data solutions within healthcare or another highly regulated industry.
- Experience integrating clinical, operational, administrative, structured, and unstructured data sources.
- Experience with healthcare interoperability standards, including HL7 v2 and FHIR, and with XML-based healthcare data formats.
- Experience with healthcare interface engines and interoperability platforms such as Mirth Connect, Rhapsody, Cloverleaf, InterSystems IRIS for Health, or equivalent integration suites.
- Experience designing data lakes, data warehouses, ETL/ELT frameworks, APIs, and data integration solutions.
- Experience working with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
- Experience with SQL and NoSQL databases.
- Experience in data governance, data quality, information management, and master data management.
- Understanding of healthcare analytics, advanced reporting, and AI-enabled data solutions.
- Knowledge of GDPR, healthcare data regulations, data privacy, data security, governance, and risk management considerations.
- Experience facilitating stakeholder workshops and translating business and clinical requirements into technical architecture and data solutions.
- Experience participating in or driving architecture discussions, technical solutioning, roadmap development, and implementation planning.
- Experience leading project workstreams and working with multidisciplinary business, clinical, and technology stakeholders.
- Experience guiding team members and reviewing architecture and technical deliverables.
- Experience working in Agile project environments.
- Educational background in Computer Science, Health Informatics, Information Systems, Engineering, Data Science, or a related field.
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