Clinical Business Intelligence Manager

Summary

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your expertise in clinical analytics could directly influence how AI understands and improves healthcare? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy, mentor BI teams, and transform complex healthcare data into insights that matter — all while contributing to cutting-edge AI development.

This is a fully remote, flexible contract role designed for a seasoned healthcare analytics professional who knows how to connect data to decisions. If you've spent your career turning clinical and operational data into trusted intelligence, this is your opportunity to take that expertise further.

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

What You'll Do

• 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 meaningful trends, support leadership decisions, and improve care delivery and organizational efficiency
• Translate complex healthcare data into clear, actionable insights for both technical and non‑technical stakeholders
• Ensure data quality, governance, and integrity standards are upheld across all reporting systems
• Collaborate with cross‑functional teams to align analytics outputs with real‑world clinical and organizational priorities

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management in a regulated environment
• Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets across complex healthcare settings
• A natural leader who can guide and develop a BI team while maintaining high standards for data quality and output
• Strong communicator who can translate data findings into clear narratives for diverse audiences
• Self‑directed and dependable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Familiarity with advanced LLMs or AI training pipelines
• Experience building analytics frameworks that feed into machine learning or AI systems
• Background in value‑based care, population health, or clinical quality improvement

Why Join Us

• Work alongside world‑leading AI research labs on genuinely cutting‑edge projects
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the depth and purpose of meaningful, high‑impact work
• Gain direct exposure to how advanced AI models are trained and evaluated in clinical contexts
• Potential for ongoing work and contract extension as new projects launch

Job Description

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your expertise in clinical analytics could directly influence how AI understands and improves healthcare? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy, mentor BI teams, and transform complex healthcare data into insights that matter — all while contributing to cutting-edge AI development.

This is a fully remote, flexible contract role designed for a seasoned healthcare analytics professional who knows how to connect data to decisions. If you've spent your career turning clinical and operational data into trusted intelligence, this is your opportunity to take that expertise further.

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

What You'll Do

• 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 meaningful trends, support leadership decisions, and improve care delivery and organizational efficiency
• Translate complex healthcare data into clear, actionable insights for both technical and non‑technical stakeholders
• Ensure data quality, governance, and integrity standards are upheld across all reporting systems
• Collaborate with cross‑functional teams to align analytics outputs with real‑world clinical and organizational priorities

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management in a regulated environment
• Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets across complex healthcare settings
• A natural leader who can guide and develop a BI team while maintaining high standards for data quality and output
• Strong communicator who can translate data findings into clear narratives for diverse audiences
• Self‑directed and dependable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Familiarity with advanced LLMs or AI training pipelines
• Experience building analytics frameworks that feed into machine learning or AI systems
• Background in value‑based care, population health, or clinical quality improvement

Why Join Us

• Work alongside world‑leading AI research labs on genuinely cutting‑edge projects
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the depth and purpose of meaningful, high‑impact work
• Gain direct exposure to how advanced AI models are trained and evaluated in clinical contexts
• Potential for ongoing work and contract extension as new projects launch