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Python
SQL
Where the posting names them
- Experience building and maintaining APIs, SDKs, services, and distributed systems.
- Strong programming skills in Python and modern software development practices.
- Deep knowledge of SQL, databases, and large-scale data processing.
- Strong programming skills in Python and modern software development practices.
- Deep knowledge of SQL, databases, and large-scale data processing.
- Experience with automated testing frameworks and CI/CD pipelines.
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About 54,000 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as GEHC.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Job Description Summarye are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions, AI development infrastructure, software integration frameworks, evaluation and verification capabilities, and scalable deployment mechanisms.
This role requires end-to-end ownership and a broad systems perspective, from understanding customer needs and product requirements to enabling successful product delivery.
If you're looking for a meaningful opportunity to make a real impact on healthcare and help improve patients' lives, we'd love to hear from you.Job Description
Key Responsibilities
Team Leadership
Lead, mentor, and grow a team of Data Engineers and Software Engineers.
Define team priorities, roadmap, and execution plans aligned with business and product objectives.
Foster engineering excellence, accountability, collaboration, and continuous improvement.
Drive effective cross-functional collaboration with Algorithm, Clinical, Product, Verification, Regulatory, and Systems Engineering teams.
Establish technical standards, best practices, and development processes.
Data Infrastructure & Data Operations
Lead the design, development, and maintenance of enterprise-grade data infrastructure supporting AI development.
Own database architecture, data repositories, and scalable data management solutions.
Drive solutions for clinical data collection, anonymization, curation, annotation, versioning, traceability, and lifecycle management.
Develop and maintain integrations with internal GE HealthCare systems and data sources.
Ensure secure, compliant, and efficient data access mechanisms for global development teams.
Support regulatory submissions through reproducible and auditable data preparation processes.
Establish data governance standards, quality controls, and operational excellence practices.
AI Software Platform & Integration Infrastructure
Lead development of software frameworks enabling integration of AI technologies into multiple product platforms and operating environments.
Drive creation of reusable SDKs, plugins, APIs, and services that accelerate AI deployment across products.
Support integration of AI solutions into Linux and Windows-based medical device platforms.
Define and maintain AI integration architecture, deployment mechanisms, and compatibility layers.
Enable rapid prototyping and evaluation environments for algorithm development teams.
Drive development of tools supporting algorithm execution, debugging, performance evaluation, reproducibility, and portability across host systems.
Verification, Validation & Development Infrastructure
Establish automated testing frameworks covering unit, integration, regression, performance, and system-level testing.
Lead development of CI/CD pipelines and release infrastructure supporting the AI software lifecycle.
Ensure traceability, reproducibility, maintainability, and quality throughout the development process.
Develop infrastructure supporting algorithm verification, system validation, and integration testing activities.
Drive engineering best practices for software quality, reliability, scalability, and maintainability.
Quality & Regulatory Compliance
Ensure all development activities comply with medical device quality systems and regulatory requirements.
Support processes aligned with FDA regulations, design controls, software lifecycle requirements, verification, validation, and traceability.
Establish infrastructure and workflows that enable compliant and efficient AI feature releases.
Partner with Regulatory, Quality, and Product teams to support audits, submissions, and lifecycle management activities.
Required Qualifications
B.Sc. or M.Sc. in Computer Science, Software Engineering, Data Engineering, or a related technical field.
5+ years of experience in software engineering, data engineering, platform engineering, or related disciplines.
2+ years of experience leading technical teams.
Strong experience designing and operating data management platforms and workflows.
Strong software architecture and system integration background.
Experience building and maintaining APIs, SDKs, services, and distributed systems.
Strong programming skills in Python and modern software development practices.
Deep knowledge of SQL, databases, and large-scale data processing.
Experience with automated testing frameworks and CI/CD pipelines.
Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
Experience in medical devices, healthcare software, or other regulated industries.
Experience supporting AI/ML development workflows and MLOps practices.
Experience integrating AI models into production products.
Knowledge of healthcare and medical imaging standards such as DICOM and FHIR.
Experience with Linux and Windows development environments.
Experience with cloud platforms and modern DevOps technologies.
Familiarity with FDA design controls, software lifecycle processes, and regulatory requirements for medical devices.
Why Join Us
This role provides a unique opportunity to lead a highly impactful engineering team that enables the successful development, integration, validation, and deployment of AI technologies across multiple healthcare products. You will play a key role in establishing the scalabledata and software foundations that accelerate innovation while ensuring compliance with the highest standards of quality, reliability, andpatient safety.