Senior Data Manager

About the role

The Senior Data Manager owns key data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring. This role is responsible for designing reusable pipelines, making architectural decisions, and mentoring junior team members. The position involves collaborating with radiologists, product managers, and AI engineers to support medical product development.

Responsibilities

• Own one or several data topics across products and drive them end to end.
• Design and maintain reusable tooling, including pipelines, dashboards, and automation.
• Make structuring decisions on technical implementation, team tooling, and data architecture.
• Surface actionable insights from the data lake for product, AI, and clinical stakeholders.
• Drive the targeting and collection of relevant data and build medically consistent datasets.
• Establish annotation guidelines and training to ensure consistent quality.
• Contribute to ongoing oversight and refinement of AI algorithm performance.
• Mentor junior data team members through technical guidance and knowledge sharing.
• Write automated tests and apply code versioning and review standards.

Required skills

• Python
• Database query languages
• BigQuery
• MongoDB
• Data management
• Data engineering
• Data science
• Medical imaging
• Automated testing
• Code versioning

Nice to have

• Machine learning
• Medical device development

Qualifications

• Master's degree in a health-related or scientific field
• 5+ years of relevant experience in data management, data engineering, or data science