Manager - AI Strategy & Operations - MUSCP

C003 University Medical Associates (UMA) Only Employees and Financials; United States; Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

University Medical Associates (UMA) seeks a Manager of AI Strategy & Operations to lead a multidisciplinary team responsible for the full lifecycle of MUSC's AI solutions, from discovery to deployment and ROI measurement. The role collaborates with clinical, operational, IS, and research stakeholders to translate needs into scalable AI outcomes.

The position emphasizes governance, risk controls, and strategic partnerships with AI incubators and enterprise leadership to drive value across MUSC.

Qualifications

• Master's degree in a relevant field is required; PhD preferred.
• 3-5 years of leadership exposure in data science, AI, analytics, operational improvement, or technical program management.
• Experience collaborating with data scientists, ML engineers, or technical teams; familiarity with applied AI/ML preferred.
• Demonstrated ability to supervise teams and manage cross-functional projects.
• Proven experience partnering with operational or clinical leaders to identify efficiency improvements.

Responsabilités

• AI Opportunity Discovery & Operational Strategy ownership (35%).
• Team Leadership & Workforce Development (25%).
• Solution Development & Deployment Support (20%).
• ROI Measurement & Executive Reporting (10%).
• Partner Engagement & Thought Leadership (10%).

Connaissances

Leadership

Team leadership

Data science

AI

Operational improvement

Technical program management

Cross-functional collaboration

Formation

Master's degree required

PhD preferred

Description du poste

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 % Allocation)

• 1. AI Opportunity Discovery & Operational Strategy - 35% Identify operational workflows poised for AI-driven efficiency gains or cost savings. Lead discovery workshops and needs assessments with departments across MUSC. Build opportunity maps, prioritize initiatives, and align with enterprise strategic goals. Develop cadenced maintenance, and AI Fine-Tuning, Bias testing, Audit, etc. Identify existing AI Solutions primed for enhancement, build a pipeline visible to senior officers base targeted workflows based on impact index to enterprise.
• 2. Team Leadership & Workforce Development - 25% Lead a team of Jr. Data Scientists, ML Engineers, and a Jr. Architect. Provide mentorship, performance management, and resource planning. Develop skill-building programs and promote a collaborative AI culture.
• 3. Solution Development & Deployment Support - 20% Oversee scaling of AI prototypes and solutions into enterprise environments Guide production readiness planning and ensure operational requirements are met. Ensure compliance with AI governance, quality standards, and risk controls. Process document, and orient pre-assessment deployment evaluations for senior leadership review
• 4. ROI Measurement & Executive Reporting - 10% Document and quantify financial and operational ROI from AI implementations measure as indirect or direct returns in revenue. Track performance metrics and present outcomes to senior leadership at quarterly and annual cadence.
• 5. Partner Engagement & Thought Leadership - 10% Advise departmental leaders on AI feasibility, adoption readiness, and workflow fit provide professional assessments to partners of build vs. buy. Serve as an institutional subject matter expert for applied operational AI showcase examples of intentional design, and successful implementations to encourage further AI application. Eliminate barriers and advocate for streamlined AI integration.

Additional Job Description Required Qualifications

• Education: Master's degree required; PhD preferred.
• Experience: 3-5 years of relevant experience with leadership exposure in data science, AI, analytics, operational improvement, or technical program management.
• Technical Capability: Experience collaborating with data scientists, ML engineers, or technical teams; familiarity with applied AI/ML preferred.
• Leadership: Demonstrated ability to supervise teams and manage cross-functional projects.
• Operational Expertise: Proven experience partnering with operational or clinical leaders to identify efficiency improvements or workflow enhancements.

Additional Information

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.

Thank you for wanting to be part of the Medical University of South Carolina team. Whether you want to teach the next generation of health care leaders, innovate new business models, discover the next breakthrough or provide patient care, there's a role for you that fuels your passion and takes advantage of your skills. There are career opportunities available in academics, research, hospital medicine, physician practices and support services, from patient billing to IT. As an applicant, you can search jobs for all MUSC entities as well as search by category and location. MUSC attracts more than $250 million annually in research funding, making it the biggest magnet for biomedical, extramural research dollars of all institutions of higher learning in South Carolina. The Clinical and Translational Science Award (CTSA) Program aims to advance clinical and translational science to increase the speed at which new treatments become available to patients. MUSC Health, the clinical enterprise, operates a 750 bed medical center, which includes a nationally recognized Children's Hospital, the Ashley River Tower (cardiovascular, digestive disease, and surgical oncology), Hollings Cancer Center (one of fewer than 70 elite National Cancer Institute designated centers), a Level I Trauma Center and the Institute of Psychiatry. In addition, there are more than 100 outreach clinics, hospital/health system affiliations, and telehealth sites. U.S. News & World Report placed us among the top one percent of all American hospitals, with 11 specialties in the top 50. The MUSC Medical Center is also one of only three Magnet designated hospitals in South Carolina.