IT Principal Professional (EPIC/PACS Data Management and Analytics Specialist)

University of Colorado Anschutz Medical Campus

Department: Radiology

Job Title: IT Principal Professional (EPIC/PACS Data Management and Analytics Specialist)

Position #: 00840831 – Requisition #: 37887

Job Summary:

The Department of Radiology seeks a Data Analytics Specialist with emphasis on Epic and PACS data management. This position focuses on data management, healthcare informatics, and clinical analytics within the Department of Radiology. Core responsibilities include extracting, curating, validating, and structuring large datasets from Epic and PACS; developing databases; and building analytic solutions to support clinical, operational, and financial performance. The role requires advanced technical skills and the ability to translate healthcare data into actionable insights. The incumbent will apply knowledge of radiology workflows, coding standards, and productivity measures (cFTEs, wRVUs, CPT/ICD codes) to optimize decision-making. The position operates at an advanced level and serves as a subject matter expert, collaborating with faculty, administrators, and clinical leaders.

Key Responsibilities:

• Extracting, validating, and structuring clinical datasets to support reporting on turnaround times (TATs), wRVUs per shift, productivity metrics, and capacity planning.

• Building reports and dashboards to integrate operational, financial, and clinical metrics.

• Supporting analysis of radiology workflow, clinic utilization, and departmental performance.

• Advising leadership on data-driven decision-making through accessible and accurate analytics.

• Working knowledge of healthcare data for data manipulation, analysis, and report presentation. Captures, analyzes, and documents requirements for analytics solutions and updates datasets for reports & visualizations as needed.

• Experience with data quality tools for data profiling, cleansing, and standardization.

• Collect, analyze, abstract and report on data using information technologies to support clinical and operational processes and organizational initiatives.

• Designs data queries based on cu