Lead Data Engineer
stryker
Job Description
- Design, build, and maintain automation solutions (primarily Power Automate) to reduce manual effort in evidence workflows.
- Implement and maintain REST API integrations to connect systems (e.g., DistillerSR, SharePoint, Power BI) and enable seamless, scheduled data flow.
- Develop reusable, scalable data pipelines and processes (automated extract → store → refresh cycles).
- Operationalize agreed data structures; migrate and maintain structured evidence data into controlled, analytics-ready datasets.
- Implement processes to monitor data quality, keeping data accurate, traceable, and available for stakeholders.
- Build and maintain Power BI dashboards from CDS-managed datasets to enable scalable reporting and evidence visibility.
- Enable self-service analytics so stakeholders can access insights without ad-hoc requests.
- Explore and implement AI-enabled solutions (e.g., agents that transform unstructured clinical report content into structured data).
- Identify and eliminate manual, repetitive work; document and maintain solutions across updates.
- Help build repeatable ways of working — shared methods, templates, and clear documentation — so solutions are easy to maintain and reuse across teams and time zones.