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GE Healthcare

Imaging, monitoring, and healthcare IT solutions

AI Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeZipf, Austria€85k /yr

About the Job

Requirements

  • A Master's degree in computer science, data engineering, software engineering, AI, or a related field is required.
  • Progressive experience in data architecture, enterprise architecture, AI platforms, data engineering, or a related discipline is required.
  • Strong understanding of modern data platforms, integration, metadata, lineage, quality, governance, and secure access is required.
  • Experience across the AI data and model lifecycle, including curation, annotation, training, validation, deployment, and monitoring, is required.
  • Ability to assess vendors and technologies, including cloud platforms, application programming interfaces, distributed systems, and platform engineering concepts, is required.
  • Knowledge of privacy, cybersecurity, quality-system, and regulatory expectations for healthcare data and AI-enabled medical products is required.
  • Ability to create roadmaps, influence across teams, and communicate effectively in English within a global organization is required.

Responsibilities

  • Align global ultrasound teams on AI data needs, use cases, and shared business and technical priorities.
  • Evaluate third-party platforms and lead build-versus-buy decisions, vendor assessments, due diligence, and proofs of concept.
  • Define reference architectures and standards for scalable, secure, compliant, interoperable, usable, and cost-effective data platforms.
  • Own the global AI data architecture roadmap, including priorities, investment proposals, capacity plans, and leadership reporting.
  • Partner with infrastructure and cloud teams to standardize platforms, pipelines, metadata, lineage, data quality, observability, and governance.
  • Enable compliant healthcare-data access, de-identification, retention, sharing, and lifecycle management.
  • Coordinate platform onboarding, integration, migration, and retirement while promoting approved reference patterns.
  • Lead architecture and incident reviews, document decisions, communicate with cross-functional stakeholders, and monitor relevant emerging technologies.

Desired Qualifications

  • Experience shaping enterprise data or AI architecture, preferably in medical imaging, healthcare, or another regulated environment.
  • Familiarity with data catalogs, orchestration, quality and annotation tools, dataset stores, model registries, and AI platforms.
  • Track record of defining reusable architecture standards and aligning separate initiatives around shared platforms and ways of working.

About the Company

GE Healthcare

Imaging, monitoring, and healthcare IT solutions

GE Healthcare Systems provides medical technologies and digital infrastructure to improve diagnosis, treatment, and monitoring of patients. Its products include imaging systems (radiology and cardiology), mobile diagnostic tools, patient monitoring devices, and healthcare IT software that combine hardware, software, and services sold to hospitals, clinics, and research institutions, with revenue from device sales, software licenses, and long-term service contracts. The company differentiates itself by offering a wide, integrated ecosystem of hardware, software, and services, plus AI-driven analytics and a global service network supported by substantial R&D investment. Its goal is to improve patient outcomes and healthcare efficiency by delivering reliable imaging, diagnostics, monitoring, and IT solutions for clinicians.

Company size
1-10
Company stage
IPO
Headquarters
Chicago, IL
Founded
1892

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