Software Engineer
Senior Business Intelligence Analyst focused on leveraging AI to drive data‑driven decisions across clinical, operational, and pharmacy domains, utilizing BI tools, SQL, Python, and advanced analytics to identify high‑impact AI opportunities.
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Job Summary:
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.
Job Duties:
Key Responsibilities:
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 or remote 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).
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Posted June 21, 2026