Clinical Business Intelligence Manager

About The Role

What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — at a scale that influences real patient outcomes?

We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare and cutting-edge AI development. You'll bring deep domain knowledge in clinical and operational data, guiding teams to build the kind of trusted, high-quality BI infrastructure that powers smarter decisions — and smarter AI.

This is a fully remote, flexible contract role. If you've spent your career turning complex healthcare data into meaningful insight, this is your opportunity to do it at a new frontier.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Lead and mentor a business intelligence team in building 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, support leadership decisions, and improve care delivery and efficiency
• Translate complex, multi-source healthcare datasets into clear, actionable insights for both technical and non-technical stakeholders
• Uphold data quality standards and governance practices appropriate for regulated healthcare environments

• Experienced in healthcare or clinical analytics, business intelligence, or healthcare data management
• Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings
• Strong communicator who can bridge the gap between raw data and real-world decision-making
• Detail-oriented, self-directed, and reliable when working independently in a remote environment

• Prior experience with data annotation, data quality evaluation, or AI training datasets
• Familiarity with how large language models (LLMs) are trained or evaluated
• Background in health informatics, population health, or clinical operations
• Experience with tools such as Tableau, Power BI, dbt, or similar BI platforms

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, high-impact work
• Apply deep clinical expertise to a domain — AI — where that knowledge is rare and genuinely valued
• Potential for ongoing work and contract extension as new projects launch