AI Data Architect (f/m/d)

Description

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.

At GE HealthCare, our machines, our software, our solutions, our services, and our people make a genuine difference to medical professionals and patients all over the world. That’s because we never lose sight of what healthcare really needs—the human touch.

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, we pursue a world where healthcare has no limits and embrace 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.

In this role you will :

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.

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. We enable clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by our Edison intelligence platform. We operate at the center of an ecosystem working toward precision health - digitizing healthcare, helping drive productivity and improving outcomes for patients, providers, health systems and researchers around the world.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

GE HealthCare - Creating a world where healthcare has no limits

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Additional Information

Relocation Assistance Provided: Yes

Requirements

• 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.

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
• If you are interested in learning more we are looking forward to your online-application!
• Don't meet all the requirements? We are aware that there is almost never a perfect profile. You can learn (almost) anything as long as you are interested and enjoy new topics and challenges. In short: we look forward to receiving your application, even if you do not yet meet the requirements 100%!