Senior Business Intelligence Analyst, AI

Job Summary

Geisinger is operationalizing AI at scale across one of the nation’s most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most.

The analytical foundation provides the data and evidence needed to make informed AI investment decisions, from measuring production performance to sizing future opportunities. Embedded within the Geisinger AI product function, the analyst turns complex clinical and operational data into evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership.

• Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built.
• Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them.
• Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it.
• Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact.
• Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve.
• Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently.
• Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions.
• Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio.

• 5 or more years of experience in business intelligence, data analytics, or healthcare informatics.
• Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases.
• Demonstrated ability to build production‑grade dashboards in tools such as Tableau, Power BI, or Qlik.
• Experience working in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting.
• Strong communication skills with the ability to translate analytical findings for non‑technical audiences.
• Comfort operating in ambiguous, fast‑moving environments with multiple competing priorities.
• Bachelor’s degree in data science, informatics, health administration, or a related field; advanced degree preferred.

• Experience supporting AI or machine learning product teams in a healthcare context.
• Familiarity with Epic reporting workbench, Slicer Dicer, or Radar dashboards.
• Exposure to clinical quality metrics, coding capture, or patient throughput analytics.
• Experience contributing to vendor RFI or RFP evaluation processes.

High School Diploma or Equivalent (GED) – required.

Minimum of 8 years relevant experience.

We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.