AI Strategy & Operations Leader

C003 University Medical Associates (UMA) Only Employees and Financials

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

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.

Responsibilities

  • 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%).

Skills

Leadership
Team leadership
Data science
AI
Operational improvement
Technical program management
Cross-functional collaboration

Education

Master's degree required
PhD preferred

Job description

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.

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