Senior Data Manager: Healthcare Data & AI Pipelines

DeepHealth; Amsterdam; Hybrid; EUR 60,000 - 65,000; Full time

Job summary

DeepHealth in Amsterdam is seeking a Senior Data Manager to own data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring. You will design tooling, build pipelines, and guide junior team members while collaborating with radiologists, AI engineers, and clinical scientists.

This role requires a Master's in a health-related field, 5+ years in data management/engineering, and strong Python and database skills (BigQuery, MongoDB).

Qualifications

• Master's degree in a health-related or scientific field.
• 5+ years of experience in data management, data engineering, or data science, ideally in healthcare or medical imaging.
• Excellent proficiency in Python and database query languages, and comfort with BigQuery and MongoDB.
• Ability to structure, document, industrialize, and optimize data processes and tools.
• Experience writing automated tests and working with code versioning and review.
• Knowledge of medical imaging and of how data and annotations shape AI algorithm development.
• Strong reasoning, attention to detail, and an analytical and scientific mindset.
• Ability to translate needs between technical and non-technical stakeholders and to mentor others.
• Ability to manage multiple topics in parallel while maintaining a broader view of product and data priorities.

Responsibilities

• Own one or several data topics across products, such as dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end.
• Design and maintain reusable tooling, including pipelines, dashboards, and automation, for the data team and for stakeholders who need to access, explore, or use the data.
• Make structuring decisions on technical implementation, team tooling, and data architecture, and maintain codebase quality and process efficiency.
• Surface actionable insights from the data lake by identifying, structuring, and delivering relevant information to product, AI, and clinical stakeholders.
• Drive the targeting and collection of relevant data.
• Build and structure medically consistent and representative datasets.
• Establish annotation guidelines and training so annotation quality stays consistent.
• Contribute to ongoing oversight and refinement of AI algorithm performance.
• Mentor more junior data team members through technical guidance and knowledge sharing.
• Write automated tests and apply code versioning and review standards to data processes and tools.

Skills

Python

SQL

Data management

Data engineering

Analytical mindset

Mentoring

Education

Master's degree in health-related or scientific field

Tools

BigQuery

MongoDB

Job description

DeepHealth in Amsterdam is seeking a Senior Data Manager to own data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring. You will design tooling, build pipelines, and guide junior team members while collaborating with radiologists, AI engineers, and clinical scientists.

This role requires a Master's in a health-related field, 5+ years in data management/engineering, and strong Python and database skills (BigQuery, MongoDB).