Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)

About The Role:

What if your expertise in healthcare analytics could directly shape how AI understands and interprets clinical data for millions of patients? We are looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy, guide BI teams, and help translate complex healthcare data into insights that drive real-world outcomes. This is a fully remote, flexible contract role built for seasoned healthcare data professionals who want to do meaningful work at the intersection of clinical intelligence and cutting‑edge AI.

Organization:
Alignerr
Type:
Hourly Contract

Location:

Remote
Commitment: 10–40 hours/week

• Lead and mentor a business intelligence team in designing and delivering dashboards, reports, and analytics that support clinical and operational decision‑making.
• Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance.
• Analyze clinical, operational, and performance data to surface trends, inform leadership decisions, and drive improvements in care delivery and organizational efficiency.
• Translate complex, multi‑source healthcare datasets into clear, trusted, actionable insights.
• Collaborate with cross‑functional stakeholders to align analytics outputs with strategic priorities.
• Contribute to AI training projects by applying your domain expertise to evaluate and improve healthcare‑focused AI models and outputs.

• Deep experience in healthcare or clinical analytics, business intelligence, or data management in regulated environments.
• Proven track record designing and managing BI systems — dashboards, reporting pipelines, and data models at scale.
• Comfortable working with clinical, operational, and administrative datasets with a strong understanding of healthcare data standards and governance.
• Natural leader who can guide and develop analytical teams while staying hands‑on with the data.
• Detail‑oriented, structured thinker who can communicate complex findings clearly to both technical and non‑technical audiences.
• Self‑directed and effective working independently in a remote, asynchronous environment.

• Prior experience with data annotation, data quality evaluation, or AI training workflows.
• Familiarity with healthcare interoperability standards (HL7, FHIR, ICD coding, etc.).
• Background in population health, clinical quality metrics, or value‑based care analytics.
• Exposure to advanced LLMs or AI model evaluation in a healthcare context.

• Work on cutting‑edge AI projects alongside the world's leading AI research labs.
• Fully remote and flexible — structure your work around your life.
• Freelance autonomy with the substance of genuinely impactful, domain‑expert work.
• Apply your clinical expertise to one of the most transformative technology shifts of our time.
• Potential for ongoing work and contract extension as new projects launch.