Priority Ambulance - AI & Data Innovation Specialist

Job Details

Job Location

Knoxville, TN

Remote Type

Hybrid

Position Type

Priority Ambulance

Description

Position Summary

The AI & Data Innovation Specialist supports the Priority Ambulance Family of Companies by developing, implementing, and maintaining artificial intelligence and data analytics solutions that enhance operational efficiency, workforce management, clinical outcomes, and organizational decision-making.

This role serves as a bridge between data science and EMS operations, leveraging technology to advance the company's S.A.F.E. values (Safe, Accountable, Friendly, Efficient) and supporting the organization's Healthcare Anywhere mission through innovation, automation, and actionable insights.

Essential Duties and Responsibilities

• Design, develop, and deploy AI and predictive models to forecast EMS demand, optimize unit deployment, and enhance workforce scheduling.
• Analyze large-scale datasets from CAD, ePCR, HRIS, payroll, fleet maintenance, and billing systems to identify trends, inefficiencies, and opportunities for improvement.
• Collaborate with cross-functional teams (Operations, HR, Finance, IT, Clinical) to define analytics requirements and develop data-driven solutions.
• Implement machine learning algorithms to support clinical quality assurance, documentation review, and real-time performance dashboards.
• Create and maintain data visualization dashboards (Power BI, Tableau) to communicate operational KPIs to leadership in clear, actionable formats.
• Partner with IT and Compliance teams to ensure HIPAA-compliant data handling, model transparency, and ethical AI practices.
• Support automation of manual processes across administrative, HR, and operations functions using AI tools or low-code automation platforms.
• Contribute to the development of the company's Innovation Enablement strategy, ensuring alignment between technology solutions and enterprise goals.
• Provide technical leadership on data science projects, including data cleaning, model training, and API integration with enterprise platforms.
• Train leaders and staff on interpreting and using AI-driven insights in daily decision-making.

Knowledge, Skills, and Abilities

Work Environment

This position may operate in a hybrid or remote setting, with occasional travel to company operations or regional offices for project collaboration and training.

Qualifications

Education and Experience

Preferred Certifications

Core Competencies

Performance Indicators