The incumbent is responsible for gathering requirements and designing, building, and maintaining applications and databases that support reporting and data submissions for enterprise quality initiatives and collaborative programs. This role brings deep expertise in healthcare data and Large Language Models (LLMs)/Generative AI to develop innovative data solutions that enhance workflow efficiency, decision‑making, and clinical outcomes.

The incumbent works across structured and unstructured data, develops and evaluates robust machine learning models, and implements LLM‑powered workflows with a strong emphasis on safety, privacy, regulatory compliance, and bias mitigation. This role partners closely with cross‑functional stakeholders to translate complex requirements into scalable, high‑impact solutions.

The incumbent is expected to lead complex projects focused on workflow automation, intelligent automation, and optimization of data structures. Success in this role requires strong intellectual curiosity, a passion for solving complex technical challenges, and the ability to work both independently and collaboratively within a team environment. The incumbent consistently leverages technology to promote efficient, reliable, and future‑ready work systems.

Preferred Qualifications

• Experience leading or contributing to intelligent automation initiatives
• Demonstrated success applying AI/ML solutions in healthcare or regulated environments