Business Intelligence Analyst Senior, 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.

This role provides the analytical foundation that makes good AI investment decisions possible, from measuring what is working in production to sizing what is worth building next.

Position Summary:

This is a role for someone who wants their analytical work to directly shape what gets built and what gets prioritized. Embedded within Geisinger AI product function, you will turn complex clinical and operational data into the evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership. You will work closely with product managers, data scientists, and clinical partners across a broad range of AI initiatives spanning care delivery, revenue cycle, operations, and more.

+ + 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

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

* Relevant experience may be a combination of related work experience and degree obtained (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years, Master's Degree = 6 years).

• 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 nontechnical audiences

• Comfort operating in ambiguous, fast moving environments with multiple competing priorities

• Bachelors degree in data science, informatics,…