Clinical Business Intelligence Manager

Original job posting

Lead a business intelligence team to design and deliver dashboards and reporting pipelines that support clinical and operational decision-making. Translate complex healthcare datasets into actionable insights while ensuring data quality and governance standards are maintained.

Job details

Clinical Business Intelligence Manager (AI Training) About The Role What if your expertise in healthcare analytics could directly shape how AI understands clinical data — and ultimately influence patient outcomes at scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that bridge the gap between complex healthcare data and real-world decision-making. This is a fully remote, flexible contract role built for senior professionals who know how to turn raw clinical data into trusted, actionable intelligence. 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 Build, maintain, and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — with a focus on accuracy, reliability, and performance Analyze clinical, operational, and performance datasets to surface meaningful trends that support leadership decisions and improve care delivery Translate complex healthcare data into clear, trusted insights for both technical and non-technical stakeholders Ensure data quality and governance standards are upheld across all reporting systems and analytical outputs Collaborate with cross-functional teams to align BI solutions with clinical priorities and organizational goals 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 at scale Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments A natural leader who can guide and develop a team while staying hands-on with complex analytical challenges Detail-oriented, methodical, and committed to data integrity and accuracy Strong communicator who can present insights clearly to diverse audiences Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation workflows Familiarity with how large language models (LLMs) are trained or evaluated Experience applying BI in value-based care, population health, or clinical quality improvement contexts Background working alongside AI research teams or contributing to AI-driven healthcare initiatives Why Join Us Work at the intersection of clinical intelligence and cutting-edge AI with world-leading research teams Fully remote and flexible — structure your hours around your life, not the other way around Freelance autonomy with the substance of genuinely impactful, technically demanding work Gain direct exposure to advanced LLMs and how they are trained on complex, real-world datasets Collaborate with a global network of experts across healthcare, data science, and AI research Potential for ongoing work and contract extension as projects evolve and expand

What you’ll do

Lead a business intelligence team to design and deliver dashboards and reporting pipelines that support clinical and operational decision-making. Translate complex healthcare datasets into actionable insights while ensuring data quality and governance standards are maintained.

Requirements

Requires extensive experience in healthcare analytics and a proven track record of managing BI systems and data models at scale. Candidates should be strong communicators capable of leading a team while remaining hands-on with complex analytical challenges.

Benefits

• Fully Remote Work • Flexible Schedule • Freelance Autonomy

Listed skills

• SQL · Preferred
• Team Leadership · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Healthcare Analytics
• Business Intelligence
• SQL
• Data Modeling
• Dashboard Design
• Clinical Data Management
• Data Governance
• Team Leadership
• Data Annotation
• AI Evaluation
• Large Language Models
• Population Health
• Value-Based Care
• Clinical Quality Improvement
• Reporting Pipelines
• Data Integrity

Job areas

• Data & Analytics
• Healthcare
• Technology
• Management & Leadership
• Science & Research