Remote Clinical BI Lead for AI-Driven Care Insights

Alignerr Corp.; Melbourne; Remoto; AUD 83.000 - 165.000; Part-time

Vantaggi offerti da questo lavoro

Fully remote

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Healthcare analytics

BI leadership

SQL

Data modeling

Dashboard design

Descrizione del lavoro

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