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Manager - AI Strategy & Operations - MUSCP

Medical University of South Carolina (MUSC)

Role at a glance

Category: AI Governance
Work arrangement: On-site
Location: Charleston, SC
Posted: Jul 1, 2026

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Medical University of South Carolina (MUSC) is hiring a Manager - AI Strategy & Operations - MUSCP in Charleston, SC. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Medical University of South Carolina (MUSC).

Job Description Summary The Manager of AI Strategy & Operations oversees a multidisciplinary team responsible for the full lifecycle of MUSC’s AI solutions whether built internally or acquired externally. This includes ongoing maintenance, fine‑tuning, and version management; rigorous evaluation of new AI vendors within a zero‑trust sandbox environment; and the productionization of novel AI solutions produced by AI Incubation partners and selected by senior leadership for enterprise‑wide scaling. This leader ensures that AI initiatives generate measurable efficiency gains, alleviate operational bottlenecks, and deliver strong ROI. The Manager collaborates closely with clinical, operational, IS, and research stakeholders to identify high‑value opportunities, translate needs into actionable AI solutions, and drive successful adoption and integration across MUSC. Entity University Medical Associates (UMA) Only Employees and Financials Worker Type Employee Worker Sub-Type Classified Cost Center CC005532 EVPAA - Center for Artificial Intelligence Pay Rate Type Salary Pay Grade Health-35 Scheduled Weekly Hours 40 Work Shift Job Description Primary Areas of Responsibility (with %

Full responsibilities and requirements are on Medical University of South Carolina (MUSC)'s application page.

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About Medical University of South Carolina (MUSC)

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Location and market context

This role is based in Charleston, SC on-site. Local candidates benefit from being close to Medical University of South Carolina (MUSC)'s teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Medical University of South Carolina (MUSC) would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.