Gehc

AI Data Architect

In short

Senior AI Data Architect role at GE HealthCare's Advanced Imaging Solutions business, shaping global data architecture for AI development across ultrasound teams, aligning distributed teams on platform, tool, and infrastructure priorities. Requires a master's degree, progressive experience in data/enterprise architecture and AI platforms, and strong knowledge of healthcare data governance, compliance, and the AI data/model lifecycle. The role is hybrid, based in Austria, with annual compensation starting at €85,000, and demands cross-team leadership and communication in English within a global organization.

About the Role
As AI Data Architect (f/m/d) in GE HealthCare's Advanced Imaging Solutions business, you will shape the global data architecture for AI development across ultrasound teams. You will align globally distributed teams on shared platform, tool, and infrastructure priorities, enabling secure, scalable, interoperable data foundations to develop, validate, and scale AI-enabled ultrasound solutions.
GE HealthCare develops medical technology, pharmaceutical diagnostics, and digital solutions that help clinicians make informed decisions and improve patient outcomes. With more than a century of healthcare experience, the company pursues a world where healthcare has no limits and embraces respect, transparency, integrity, and diversity.
This role combines data architecture, AI development, platform strategy, and stakeholder leadership to align teams and provide secure, scalable, interoperable foundations for next-generation ultrasound products.
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, and communicate clearly with cross-functional stakeholders while monitoring relevant emerging technologies.
Expected Qualification
•Master's degree in computer science, data engineering, software engineering, AI, or a related field.
•Progressive experience in data architecture, enterprise architecture, AI platforms, data engineering, or a related discipline.
•Strong understanding of modern data platforms, integration, metadata, lineage, quality, governance, and secure access.
•Experience across the AI data and model lifecycle, including curation, annotation, training, validation, deployment, and monitoring.
•Ability to assess vendors and technologies, including cloud platforms, APIs, distributed systems, and platform engineering concepts.
•Knowledge of privacy, cybersecurity, quality-system, and regulatory expectations for healthcare data and AI-enabled medical products.
•Proven ability to create roadmaps, influence across teams, and communicate effectively in English within a global organization.
Desired Qualification
•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.
Personal Attributes
•Collaborative and trusted across functions, countries, and disciplines.
•Comfortable with ambiguity and able to balance long-term architecture with near-term delivery.
•Curious, self-directed, and committed to learning, knowledge sharing, and better customer and patient outcomes.
Conditions and Benefits
We offer a role specific compensation and a competitive salary and fringe benefit package reflecting your profile and experience. In Austria we are required to state the minimum pay. For this position, the annual compensation package starts at € 85.000. We will be pleased to discuss the appropriate effective salary based on your qualifications and experience.
•An exciting and diverse range of responsibilities in a growth-oriented company
•An interdisciplinary team and an international work environment
•Flextime and flexible working hours
•Free electric charging stations and ample parking facilities on the company premises
•An additional day off for your birthday
•Convenient public transportation access with a complimentary company shuttle to the Redl-Zipf train station, located 2 km away
Relocation Assistance Provided: Yes
GE HealthCare is a leading global medical technology and digital solutions innovator with over 100 years of healthcare industry experience and around 50,000 employees globally, operating at the center of an ecosystem working toward precision health through its Edison intelligence platform.

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