Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role
What if your deep expertise in clinical analytics and business intelligence could directly shape how AI understands and interprets healthcare data? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that connect clinical, operational, and performance data to real-world healthcare decisions — and help train the AI systems that will power the next generation of health technology.
This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful, high-impact work on their own terms.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Lead and mentor a business intelligence team in building dashboards, reports, and analytics that support clinical and operational decision-making
Design, maintain, and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — to ensure accuracy, reliability, and performance
Analyze clinical, operational, and performance datasets to surface trends and insights that drive care delivery improvements and organizational efficiency
Translate complex healthcare data into clear, trusted outputs that inform leadership decisions across clinical and administrative functions
Apply your domain expertise to evaluate and improve AI-generated healthcare analytics content, ensuring outputs meet the standards of real clinical environments
Work independently and asynchronously on task-based assignments — fully on your own schedule
Who You Are
Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated healthcare environments
Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
Strong command of SQL and familiarity with modern BI and reporting tools
Deep experience working with clinical, operational, and administrative datasets
Comfortable leading or mentoring analytics teams and communicating insights to non-technical stakeholders
Detail-oriented, self-directed, and reliable when working independently
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Exposure to AI tools or machine learning workflows in a healthcare context
Background in health informatics, population health, or clinical decision support
Familiarity with EHR systems, claims data, or interoperability standards (HL7, FHIR)
Why Join Us
Work on cutting-edge AI projects alongside the world's leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-value work
Direct exposure to advanced large language models and how they're trained on domain-specific data
Contribute to AI development that has real implications for healthcare quality and patient outcomes
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No