Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role

What if your deep expertise in healthcare analytics and business intelligence could directly shape how AI understands and reasons about clinical data? We're looking for experienced Clinical Business Intelligence Managers to contribute to cutting-edge AI training projects — bringing the real-world knowledge and leadership instincts that only seasoned healthcare data professionals have. This is a fully remote, flexible contract role designed to fit around your schedule.

If you've spent years turning complex clinical and operational data into actionable insights, this is your opportunity to apply that expertise in a new and impactful direction.

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

• Lead and mentor business intelligence teams 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 tools — ensuring accuracy, reliability, and performance
• Analyze clinical, operational, and performance data to uncover trends, support leadership decisions, and improve care delivery and efficiency
• Apply your clinical domain knowledge to evaluate and improve AI-generated healthcare content, ensuring outputs are accurate, trustworthy, and aligned with real-world practice
• Provide structured, expert feedback on AI outputs related to healthcare data interpretation, BI workflows, and clinical analytics

• Experienced in healthcare or clinical analytics, business intelligence, or data management — you know how clinical data works in the real world
• Proven ability to design and manage BI systems, including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
• A strong communicator who can translate complex data findings into clear, decision-ready insights
• Self-motivated and reliable — you deliver quality work without needing close supervision
• Detail-oriented and systematic in your approach to data quality and accuracy

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI tools or model evaluation workflows
• Background in health informatics, population health, or value-based care analytics
• Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms

• Work alongside world-leading AI research labs on projects that are shaping the future of healthcare intelligence
• 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
• Gain rare exposure to how advanced large language models are trained and evaluated in clinical contexts
• Potential for ongoing work and contract extension as new projects launch