Clinical Business Intelligence Manager

Alignerr; Melbourne; Remote; AUD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a Clinical Business Intelligence Manager (AI Training) to lead analytics bridging healthcare data with real-world decision-making in a fully remote contract role. This senior position focuses on shaping how AI interprets clinical data while delivering high-impact insights.

You will guide a BI team, build dashboards and data models, and ensure outputs meet regulated healthcare standards. Collaboration across functions and AI training workflows is essential, with flexibility

Qualifications

• Experience in healthcare analytics, BI systems, and health data management.
• Proven track record leading BI teams and delivering dashboards and data pipelines.
• Ability to work with regulated healthcare datasets and translate data into actionable insights.

Responsibilities

• Lead and mentor a BI team designing dashboards, reports, and analytics for clinical and operational decisions.
• Maintain and optimize BI infrastructure: data models, SQL queries, and reporting pipelines for accuracy and performance.
• Analyze clinical, operational, and performance data to surface trends and guide leadership decisions.
• Translate complex multi-source healthcare datasets into trusted insights for stakeholders.
• Collaborate with cross-functional teams to ensure data outputs meet regulated healthcare standards.

Skills

Healthcare analytics

BI leadership

SQL

Data modeling

Dashboard design

Job description

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — influencing systems that touch millions of patient lives? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that bridge complex healthcare data with real-world decision-making. This is a fully remote, flexible contract role built for senior healthcare analytics professionals who want to do meaningful, high-impact 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, guide leadership decisions, and drive improvements in care delivery and organizational efficiency
• Translate complex, multi-source healthcare datasets into trusted, actionable insights for diverse stakeholders
• Collaborate with cross-functional teams to ensure data outputs meet the standards of regulated healthcare environments

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 — end to end
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings
• Strong communicator who can translate technical findings into clear insights for non-technical stakeholders
• Self-directed and reliable when managing your own workload and team in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with advanced LLMs or AI systems in a healthcare or research context
• Background in population health, care management, or health system performance analytics

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 substance of meaningful, high-impact work
• Contribute to AI development that could redefine how clinical data drives healthcare decisions
• Exposure to advanced large language models and the teams training them
• Potential for ongoing work and contract extension as new projects launch