Data and AI Governance Analyst Intern - Summer 2026

Wisconsin Physicians Service Insurance Corporation•Madison, WI

27d•Hybrid

About The Position

Our Internship Program with WPS Health Solutions is comprised of two key components. The first component involves gaining practical experience to supplement academic coursework and prepare for future career pursuits. This will be comprised of a hands-on role within a functional area related to a relevant field of study. Each internship incorporates responsibilities and tasks which support the business objectives and client service offerings, while providing ongoing collaboration with experienced departmental colleagues and exposure to "real world" business demands. The second element centers on exposure to corporate culture and professional development: Interns will participate in discussions focused on building soft-skills and business acumen. This intern will focus on ensuring data is accurate, secure, and responsibly managed. They may assist with data quality checks, metadata and cataloging, and documentation that promotes transparency and auditability. They will also gain exposure to how governance practices extend to AI, including ethical use, compliance, and risk awareness. This experience builds practical skills in strengthening data foundations while supporting the responsible adoption of AI.

Requirements

US. Citizenship is required for this position due to Department of Defense restrictions.
Be currently pursuing a degree in higher education or recent graduate.
Have experience with Microsoft Office (i.e., Word, Excel, Outlook, etc.).

Nice To Haves

Currently pursuing a degree in Information Systems, Computer Science, Business Analytics, Data Science or related field.

Responsibilities

Support data quality, metadata, and cataloging efforts by running validation checks, tagging datasets, updating lineage information, and assisting with the configuration and upkeep of governance platforms.
Contribute to governance and risk management activities by identifying data or AI-related risks, drafting mitigation notes, maintaining dashboards, and supporting the tools and systems that track compliance and risk.
Advance responsible AI and governance practices by researching ethical frameworks and compliance requirements, and by developing documentation, checklists, training materials, and platform-based resources that promote transparency, accountability, and audit-readiness.