Clinical Business Intelligence Manager
Role Overview
Clinical Business Intelligence Manager role at the intersection of healthcare analytics and AI development.
Experienced healthcare data professional sought for a fully remote, flexible contract role.
Commitment is 10–40 hours per week.
Key Skills for This Role
Full Job Posting
Role overview
Clinical Business Intelligence Manager role at the intersection of healthcare analytics and AI development.
Experienced healthcare data professional sought for a fully remote, flexible contract role.
Commitment is 10–40 hours per week.
What you'll do
- Lead and mentor a BI team building dashboards, reports, and analytics for clinical and operational decisions.
- Design, maintain, and optimize BI infrastructure, data models, SQL queries, and reporting pipelines.
- Analyze clinical, operational, and performance data to identify trends and support high-stakes decisions.
- Turn complex healthcare datasets into trusted insights that support care delivery and organizational efficiency.
- Collaborate across teams to align analytics outputs with clinical and business priorities.
- Evaluate, validate, and improve AI-generated healthcare data and analytics outputs.
Who you are
- Experience in healthcare or clinical analytics, business intelligence, or health data management.
- Ability to design and manage end-to-end BI systems, including dashboards, reporting pipelines, and data models.
- Comfort working with clinical, operational, and administrative datasets in regulated healthcare environments.
- SQL skills and familiarity with modern BI and reporting tools.
- Able to communicate technical findings clearly to leadership audiences.
- Self-directed and reliable in a remote, asynchronous environment.
Preferred experience
- Data annotation, data quality review, or evaluation systems experience is a plus.
- Familiarity with AI tools, large language models, or AI training workflows is a plus.
- Health informatics, clinical operations, or population health analytics background is a plus.
- Experience with EHR, claims, operational, or financial healthcare data is a plus.
Workplace and schedule
- Fully remote and flexible work arrangement.
- Hourly contract engagement with a stated commitment of 10–40 hours per week.
Engagement
- Work on AI projects with research labs and AI teams.
- Potential for ongoing engagement and contract extension as new projects launch.
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