EY-GDS Consulting-AI And DATA-Healthcare-Manager

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Job Description: Healthcare Data Architect

Position Overview

We are looking for an experienced Healthcare Data Architect with 8–12 years of relevant experience in healthcare consulting, healthcare IT, data architecture, health informatics, data management, or digital transformation.

The successful candidate will bring strong practical experience in designing modern healthcare data architectures, enterprise data solutions, data models, integration frameworks, and cloud-based data platforms. The role also requires a sound understanding of healthcare interoperability standards, including HL7 v2 and FHIR, XML-based healthcare data formats, and practical experience in data governance, data quality, master data management, analytics, and regulatory compliance.

This role is suited to a collaborative professional who can contribute as an individual expert while also supporting healthcare data strategy, architecture design, technical solutioning, workstream leadership, stakeholder workshops, and business development activities. The candidate will work closely with business, clinical, technical, and executive stakeholders, listening to different perspectives and translating their needs into scalable, secure, and sustainable healthcare data solutions.

Key Responsibilities

Lead and contribute to the design and implementation of modern healthcare data architectures and enterprise data solutions.

Advise healthcare providers, public sector organizations, health systems, and digital health stakeholders on data strategies, target-state architectures, and digital transformation initiatives.

Design healthcare data architectures that integrate clinical, operational, administrative, structured, and unstructured data sources.

Develop logical and physical data models based on healthcare business, clinical, analytical, and regulatory requirements.

Define interoperability approaches using standards such as HL7 v2, FHIR, and other relevant healthcare frameworks and data-exchange formats.

Support seamless data exchange across EHRs, clinical systems, digital health platforms, analytics solutions, and public health ecosystems.

Design cloud-based healthcare data platforms using Microsoft Azure, Amazon Web Services, or Google Cloud Platform.

Design data lakes, data warehouses, ETL/ELT frameworks, API-enabled architectures, and scalable analytics platforms.

Support the adoption of healthcare analytics, AI-enabled data solutions, and advanced reporting capabilities.

Develop data governance, data quality, master data management, and information management frameworks aligned with healthcare industry best practices.

Facilitate workshops with business, clinical, technical, and executive stakeholders to gather requirements and translate them into scalable data solutions.

Support business case development, architecture roadmaps, and implementation planning for digital health and healthcare data initiatives.

Ensure healthcare data solutions consider GDPR, healthcare data regulations, data privacy, security, governance, and applicable European Union requirements.

Participate in and drive technical solutioning, architecture discussions, data modelling, and implementation planning for healthcare data use cases.

Lead workstreams within complex healthcare data and digital transformation programs.

Collaborate respectfully with architects, clinicians, product teams, business teams, and executive stakeholders to align expectations and support successful delivery.

Lead, guide, and mentor team members on healthcare data architecture, data modelling, integration, governance, and implementation approaches, fostering collaboration and knowledge sharing.

Review technical deliverables to ensure quality, consistency, scalability, and alignment with the agreed architecture and requirements.

Track and report project progress, risks, dependencies, blockers, and outcomes to stakeholders and leadership.

Support proposal development, business development activities, client presentations, and client relationship management.

Contribute to capability development, reusable assets, methodologies, and knowledge-sharing activities within the healthcare and digital health practice.

Stay updated with evolving healthcare data standards, cloud technologies, regulatory requirements, and industry best practices.

Qualifications

8–12 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.

Skills and Competencies

Strong understanding of healthcare data architecture, data modelling, and enterprise data solutions.

Good understanding of healthcare interoperability standards, including HL7 v2 and FHIR, and related healthcare data-exchange formats.

Strong understanding of cloud-based data platforms, data lakes, data warehouses, ETL/ELT, APIs, and data integration frameworks.

Good understanding of data governance, data quality, master data management, and information management.

Strong consulting, analytical, and problem-solving skills.

Ability to understand business and clinical requirements and translate them into scalable data architectures and technical designs.

Ability to communicate complex technical concepts clearly to executive, clinical, business, and technical audiences.

Strong communication, active listening, stakeholder management, and workshop facilitation skills.

Ability to work effectively and respectfully with cross-functional, distributed, international, and multicultural teams.

Ability to lead workstreams, guide team members, and provide architectural and technical direction.

Detail-oriented with a strong focus on quality, scalability, security, compliance, and delivery outcomes.

Good documentation, reporting, presentation, and client communication skills.

Ability to identify architecture risks, dependencies, data gaps, security concerns, and implementation challenges.

Ability to support proposal development, business development, and client relationship activities.

Strong interest in healthcare innovation, data-driven transformation, and digital health.

Preferred Qualifications

Advanced degree in Computer Science, Health Informatics, Information Systems, Engineering, Data Science, or a related field.

Experience working with healthcare providers, public sector organizations, health systems, or digital health stakeholders in Germany or the European Union.

Experience implementing cloud-based healthcare data platforms using Azure, AWS, or Google Cloud Platform.

Hands-on experience designing or overseeing healthcare integration workflows using Mirth Connect, Rhapsody, Cloverleaf, InterSystems IRIS for Health, or equivalent interoperability platforms.

Experience with healthcare data governance, master data management, data quality, metadata management, or information management frameworks.

Experience with privacy, security, governance, and regulatory requirements applicable to healthcare data in Germany and the European Union.

Experience with advanced healthcare analytics, AI-enabled data solutions, or healthcare reporting platforms.

Experience supporting digital health strategy, target-state architecture, business case development, and transformation roadmaps.

Experience in consulting, proposal development, client presentations, business development, or client relationship management.

Experience working on EHR, clinical data, healthcare data platform, interoperability, analytics, or digital transformation implementations.

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