Clinical Business Intelligence Manager (AI Training) About the Role What if your expertise in ... Remote * Commitment : 10-40 hours/week What You'll Do * Lead and mentor a business intelligence ...
Clinical Business Intelligence Manager (AI Training) About the Role What if your expertise in ... Remote * Commitment : 10-40 hours/week What You'll Do * Lead and mentor a business intelligence ...
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Quick apply
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Remote Business Intelligence Manager information
See Naperville, IL salary details
$29.5K - $42K
10% of jobs
$42K - $54.5K
0% of jobs
$54.5K - $67K
2% of jobs
$67K - $79.6K
1% of jobs
$79.6K - $92.1K
8% of jobs
$95.7K is the 25th percentile. Wages below this are outliers.
$92.1K - $104.6K
15% of jobs
$104.6K - $117.1K
12% of jobs
The median wage is $118.9K / yr.
$117.1K - $129.7K
15% of jobs
$139.5K is the 75th percentile. Wages above this are outliers.
$129.7K - $142.2K
15% of jobs
$142.2K - $154.7K
14% of jobs
$154.7K - $167.2K
8% of jobs
$29.5K
$114.1K
$167.3K
How much do remote business intelligence manager jobs pay per year?
What are the key skills and qualifications needed to thrive as a Remote Business Intelligence Manager, and why are they important?
How does a Remote Business Intelligence Manager effectively collaborate with cross-functional teams despite working remotely?
What is a Remote Business Intelligence Manager?
What is the difference between Remote Business Intelligence Manager vs Remote Data Analyst?
| Aspect | Remote Business Intelligence Manager | Remote Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Business, Data Science, or related; experience with BI tools | Bachelor's in Data, Statistics, or related; proficiency in data analysis tools |
| Work Environment | Oversees BI teams, collaborates with management, strategic focus | Analyzes data sets, reports findings, supports decision-making |
| Employer & Industry Usage | Used in corporate, tech, finance sectors for strategic insights | Common in marketing, finance, healthcare for data reporting |
The Remote Business Intelligence Manager focuses on leading BI teams and developing strategic insights, while the Remote Data Analyst primarily analyzes data to support decision-making. Both roles require strong analytical skills and familiarity with data tools, but differ in scope and responsibilities.
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Job description
About the Role
What if your expertise in clinical analytics could directly shape how AI understands and improves healthcare? We're looking for an experienced Clinical Business Intelligence Manager to lead a team translating complex healthcare data into actionable insights - and in doing so, help train the AI systems that will influence how clinical decisions are made at scale.
This is a fully remote, flexible contract role for a seasoned healthcare analytics professional who knows how to turn raw clinical and operational data into trusted, decision-ready intelligence.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
- 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, support leadership decisions, and drive improvements in care delivery and efficiency
- Translate complex healthcare datasets into clear, trusted insights that non-technical stakeholders can act on
- Collaborate with cross-functional teams to align analytics outputs with real-world clinical and organizational goals
- Contribute to AI training projects by applying your domain expertise to evaluate, annotate, and validate healthcare-related data and model outputs
- Experienced in healthcare or clinical analytics, business intelligence, or health data management
- Proven ability to design, build, and manage BI systems - including dashboards, reporting pipelines, and underlying data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong communicator who can translate data complexity into clear, compelling narratives for leadership and clinical stakeholders
- Self-directed and reliable - you deliver quality work independently without close supervision
- Detail-oriented and methodical, with a genuine commitment to data accuracy and integrity
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with electronic health records (EHR) systems or healthcare interoperability standards
- Background in population health, quality improvement, or clinical operations analytics
- Experience working with or evaluating large language models (LLMs) in a healthcare context
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible - structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-stakes work
- Apply your clinical expertise to a domain that's actively shaping the future of healthcare AI
- Exposure to advanced AI model development and how LLMs are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch