Clinical Business Intelligence Manager

Alignerr Corp.; Austin (CO); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote work

Job summary

Alignerr is seeking a Clinical Business Intelligence Manager to lead BI teams and shape data-driven AI training in healthcare. You will design dashboards, optimize data models, and translate clinical data into actionable insights for leadership and AI workflows.

The role is a fully remote hourly contract requiring 10–40 hours/week, with emphasis on reliability, communication, and domain expertise in clinical analytics.

Qualifications

• Experience in healthcare analytics, BI, or healthcare data management.
• Ability to design and manage BI systems with dashboards, pipelines, and data models.
• Comfort working with clinical, operational, and admin datasets in regulated environments.

Responsibilities

• Lead and mentor BI team designing dashboards, reports, and analytics for clinical and operational decisions.
• Maintain and optimize BI infrastructure: data models, SQL queries, reporting pipelines for accuracy and performance.
• Analyze clinical, operational, and performance data to surface trends and support leadership decisions.
• Translate complex healthcare data into actionable insights for diverse stakeholders.
• Contribute domain knowledge to AI training workflows where healthcare knowledge affects output quality.

Skills

Healthcare BI

Data modeling

SQL queries

Dashboards

Tools

Tableau

Power BI

Looker

Job description

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your expertise in clinical analytics could directly shape how AI understands and reasons about healthcare data? We’re looking for an experienced Clinical Business Intelligence Manager to lead BI teams, design data-driven solutions, and help build AI systems that understand the complexity of real-world healthcare environments.

This is a fully remote, flexible contract role built for senior healthcare data professionals who want to do meaningful work at the intersection of clinical intelligence and cutting‑edge AI.

• 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
• Analyze clinical, operational, and performance datasets to surface trends, support leadership decisions, and identify opportunities to improve care delivery and efficiency
• Translate complex healthcare data into trusted, actionable insights for diverse stakeholders
• Contribute your domain expertise to AI training workflows where healthcare knowledge is critical to output quality

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or healthcare data management
• 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
• Strong communicator who can bridge the gap between technical teams and clinical leadership
• Self‑directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI tools, large language models, or machine learning workflows
• Background in population health, value‑based care, or clinical quality measurement
• Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms

Why Join Us

• Work on cutting‑edge AI projects alongside world‑leading research labs
• Fully remote and flexible — structure your hours around your life
• Freelance autonomy with the depth and impact of meaningful, high‑stakes work
• Contribute clinical expertise that directly shapes how AI reasons about healthcare
• Exposure to advanced large language models and the training processes behind them
• Potential for ongoing work and contract extension as new projects launch