Clinical Business Intelligence Manager

About The Role

What if your expertise in clinical analytics could help shape the AI systems that will define the future of healthcare intelligence? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams in transforming complex healthcare data into meaningful insights — and to bring that same clinical domain expertise to cutting-edge AI training projects.

This is a fully remote, flexible contract role built for a seasoned healthcare analytics leader who knows how to turn raw data into decisions that matter.

• 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 at scale
• Analyze clinical, operational, and performance datasets to surface trends, support leadership decisions, and drive measurable improvements in care delivery and efficiency
• Translate complex healthcare data into clear, trusted insights for both technical and non-technical stakeholders
• Apply clinical domain expertise to evaluate and improve AI-generated outputs related to healthcare analytics and decision support

• Experienced healthcare or clinical analytics professional with a strong command of business intelligence systems and tools
• Proven ability to design, manage, and optimize BI infrastructure — dashboards, reporting pipelines, data models, and SQL environments
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings
• A natural communicator who can bridge the gap between data teams and clinical or executive stakeholders
• Self-directed and dependable when working independently in a remote, asynchronous environment

• Prior experience with data annotation, data quality frameworks, or AI evaluation systems
• Familiarity with EHR systems, claims data, or population health platforms
• Background in health informatics, biostatistics, or clinical operations
• Experience contributing to AI or machine learning projects in a healthcare context

• Work on cutting-edge AI projects alongside the world's leading research labs
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the depth and meaning of high-impact, domain-specific work
• Bring your clinical expertise to a field that's actively reshaping how AI understands healthcare
• Potential for ongoing work and contract extension as new projects launch