Senior Data Engineer, AI Value Realization

Description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.

Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?

• Entity: Corporate Services
• Department: PennDNA Data Management and Ops
• Location: Remote based out of 3535 Market St
• Hours: 8hr Days

Summary

:

This Senior Data Engineer role will be a key contributor to Penn Medicine's efforts to measure and demonstrate the real-world impact of AI-enabled clinical technologies, including ambient listening and other provider workflow interventions. The individual will design and develop scalable data products, analytical datasets, and measurement frameworks that enable the organization to evaluate how these technologies influence clinical, operational, provider, and patient outcomes.

Working closely with clinical, operational, analytics, and informatics stakeholders, this role will build data engineering solutions that support the development of metrics and models focused on outcomes such as provider satisfaction, reduction in after-hours documentation ("pajama time"), documentation and coding quality, patient satisfaction, care delivery efficiency, and broader health outcomes. The successful candidate will help establish trusted, scalable data foundations that enable rigorous evaluation of AI interventions and support data-driven decision making across the health system.

Responsibilities

* Data Integration and Processing: Design and architect scalable and reliable data pipelines to ingest, process, and transform large volumes