Clinical Business Intelligence Manager

Alignerr Corp.; Rio de Janeiro; Remote; BRL 443,000 - 886,000; Part time

Job summary

Alignerr is seeking a Clinical Business Intelligence Manager to lead analytics bridging clinical, operational, and performance data. You will guide BI teams in transforming complex healthcare datasets into dashboards, reports, and actionable insights, while contributing to AI training for healthcare contexts.

This is a fully remote, hourly contract role for senior professionals who want meaningful work on their own terms.

Qualifications

• Senior experience leading BI teams in healthcare analytics.
• Proven ability to translate clinical data into dashboards and reports.
• Experience with data models, SQL, and ETL pipelines.
• Ability to work independently in a remote, asynchronous environment.
• Familiarity with AI training workflows a plus.

Responsibilities

• Lead and mentor a BI team designing dashboards and analytics for clinical and operational decisions.
• Maintain and optimize BI infrastructure including data models and reporting pipelines.
• Analyze clinical and performance data to surface trends and drive care delivery improvements.
• Translate complex findings into clear insights for technical and non-technical stakeholders.
• Support evaluation and improvement of AI-generated outputs in healthcare contexts.

Skills

BI team leadership

SQL

Data modeling

Dashboard design

Tools

Tableau

Power BI

Looker

Job description

Clinical Business Intelligence Manager (AI Training)

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

We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that bridges clinical, operational, and performance data. You'll guide BI teams in transforming complex healthcare datasets into trusted dashboards, reports, and actionable insights — and help train the next generation of AI to do the same.

This is a fully remote, flexible contract role built for senior healthcare analytics professionals who want meaningful work on their own terms.

• 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 data to surface trends, inform leadership decisions, and drive improvements in care delivery and efficiency
• Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders
• Apply your real-world clinical analytics expertise to help evaluate and improve AI-generated outputs in healthcare contexts

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or health data management
• Proven track record designing and managing BI systems — dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
• Strong communicator who can translate data into decisions for a range of audiences
• Self-directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with EHR systems, claims data, or population health platforms
• Background in healthcare informatics, epidemiology, or clinical operations
• Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — structure your hours around your life
• Freelance autonomy with the depth and variety of high-impact, meaningful work
• Direct exposure to how advanced AI models are trained and evaluated in healthcare contexts
• Potential for ongoing engagement and contract extension as new projects launch