Director, Healthcare Data & Analytics

Phoenix Children's Hospital, Inc.; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Phoenix Children's Hospital, Inc. seeks an experienced leader to architect and oversee data abstraction, validation, reporting, and system-wide analytics across multiple databases.

This role combines clinical insight with data science to drive quality, safety and improvement initiatives, requiring strong collaboration with multidisciplinary teams. The position emphasizes staff leadership, budgeting, and aligning data operations with registry or research projects to deliver reliable, timely data

Qualifications

• Masters in biostatistics, epidemiology, clinical research or equivalent with experience.
• Bachelors in nursing or related clinical field is required.
• 5+ years clinical or related experience.
• 5+ years data management experience in healthcare.
• Pediatric congenital heart experience is preferred.
• Experience in program development is preferred.
• Proficient in advanced computer skills and tools (Excel, Access, etc.).
• Able to influence and lead multidisciplinary teams.
• Familiar with change theory and methodology.

Responsibilities

• Oversees data collection standards and reporting for identified databases.
• Leads staff; hires, trains, and supervises to support data and research needs.
• Collaborates with registries and sponsors; benchmarks performance with other organizations.

Skills

Advanced computer skills

Lead multidisciplinary teams

Change theory knowledge

Education

Masters in biostatistics/epidemiology/clinical research

Bachelors in nursing or clinically relevant field

Job description

Phoenix Children's Hospital, Inc. seeks an experienced leader to architect and oversee data abstraction, validation, reporting, and system-wide analytics across multiple databases.

This role combines clinical insight with data science to drive quality, safety and improvement initiatives, requiring strong collaboration with multidisciplinary teams. The position emphasizes staff leadership, budgeting, and aligning data operations with registry or research projects to deliver reliable, timely data