Data Manager – AI Development
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Job Location:
Waukesha, WI - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
The Data Manager AI Development is a key role within the AI Development team responsible for planning coordinating tracking and governing data used to develop AI enabled medical device features. This role works closely with AI/ML engineers to define data needs for AI features coordinates with internal and external data collection teams/clinical team oversees annotation activities and ensures data readiness traceability and compliance throughout the AI development lifecycle.The role is execution focused and coordination driven ensuring that the right data is available prepared and documented at the right time to support AI feature development evaluation and regulatory readiness. Strong planning communication and organizational skills are essential for success in this role.
Please note - this is a full time onsite role located in Waukesha WI.
Job Description
Roles and Responsibilities
Key Roles and Responsibilities
1. AI Data Planning & Requirements
- Partner with AI/ML engineers and technical leads to define data requirements for AI features including dataset scope diversity and usage intent.
- Translate feature and model needs into clear data requirements that guide collection annotation and preparation activities.
- Support creation and maintenance of AI data planning artifacts aligned with internal Quality Management System (QMS) requirements.
2. Data Collection Coordination
- Coordinate with centralized and distributed data collection teams to support AI development needs.
- Track data sourcing activities across multiple programs and stakeholders.
- Maintain data collection dashboards that provide visibility into status coverage risks and gaps.
- Track data collection and annotation budget.
3. Annotation & Labeling Oversight
- Coordinate data annotation activities with internal teams and external vendors.
- Track annotation progress throughput and quality metrics.
- Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones.
4. Data Governance & Compliance Support
- Support execution of AI data management practices including:
- Data control planning
- Data segregation between training holdout and testing datasets
- Data preparation and inclusion criteria
- Data traceability and usage documentation
- Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions.
- Act as a point of coordination to ensure data activities align with applicable QMS work instructions for AI development.
5. Program Tracking & Communication
- Serve as the central coordination point for AI data activities across engineering data operations and program teams.
- Proactively communicate status risks and dependencies to stakeholders.
- Support planning reviews design reviews and readiness discussions with accurate data status reporting.
Required Qualifications
- Bachelors 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.
- Demonstrated ability to plan track and coordinate complex workflows across multiple stakeholders.
- 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 crossfunctional teams within a regulated or qualitydriven environment.
Desired Characteristics
- Experience supporting AI / machine learning development teams particularly in healthcare or medical devices.
- Familiarity with AI data lifecycle concepts including training validation and testing datasets.
- Knowledge of medical imaging data formats and annotation tools (e.g. V7).
- Exposure to regulated development environments (medical devices healthcare software or similar).
- Understanding of data governance concepts such as data traceability segregation and controlled usage.
- Experience coordinating external vendors or annotation partners.
- Comfort working with ambiguity and evolving requirements in earlystage AI feature development.
- Experience with Microsoft Forms
Why Join Us
- Be at the forefront of AI-driven healthcare innovation.
- Collaborate with a multidisciplinary team passionate about improving patient outcomes.
- Shape the future of regulatory processes for cutting-edge medical technologies.
Additional Information
GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Required Experience:
Manager
Key Skills
- SQL
- Data Collection
- GCP
- Master Data Management
- R
- Data Management
- Clinical Trials
- User Acceptance Testing
- Data Warehouse
- SAS
- Oracle
- Data Analysis Skills
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
