Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
Responsibilities
The Data Manager – AI Development is responsible for planning, coordinating, tracking, and governing data used to develop AI enabled medical device features.
Work closely with AI/ML engineers to define data needs for AI features.
Coordinate with internal and external data collection teams/clinical team and oversee annotation activities.
Ensure data readiness, traceability, and compliance throughout the AI development lifecycle.
Act as a central coordination point for AI data activities across engineering, data operations, and program teams.
Communicate status, risks, and dependencies to stakeholders.
Requirements
Bachelor’s degree in Engineering, Computer Science, Data Science, Biomedical Engineering, or a related technical discipline with 4 years of experience.
Experience in data management, data operations, or program coordination roles supporting technical or engineering teams.
Strong written and verbal communication skills, with the ability to translate technical needs into actionable plans.
Experience creating and maintaining dashboards (eg. PowerBI, excel, smartsheet) trackers, or reports for operational visibility.
Familiarity with structured data workflows (eg. SQL), including data collection, annotation, and dataset organization (eg. Python).
Ability to work effectively in cross‑functional teams within a regulated or quality‑driven environment.
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