Strategic Data Science Manager

University of Miami; Miami (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

The University of Miami is seeking a Manager, Data Science to lead data-driven initiatives across DIHDS and The MIL. You will apply advanced analytics, ML, and predictive modeling to support research, education, clinical innovation, and policy translation.

This role involves coordinating with faculty, engineers, and collaborators to develop scalable data architectures, analytics pipelines, and AI-enabled tools like MILADS, driving impactful multi-institutional projects.

Qualifications

• Bachelor’s degree in a relevant field is required.
• Minimum 3 years of relevant experience is required.
• Operational Management: optimizes day-to-day operations and processes for efficiency and effectiveness.
• Organizational Development: ability to implement strategies to improve organizational effectiveness, engagement, and manage change.
• Financial Oversight: knowledge of financial operations and management.
• Team Leadership: ability to create and maintain a cohesive and productive team environment.
• Technical Proficiency: skilled in using office software, technology, and relevant computer applications.
• Communication: strong verbal and written communication skills to convey ideas clearly and persuasively.

Responsibilities

• Manages daily team activities for identifying trends via big data.
• Oversees interpretation of results using statistics and data mining.
• Leads design and implementation of big data solutions for the organization.
• Collaborates with departments to ensure data governance and compliance.

Skills

Strategic leadership

Stakeholder management

Big data analytics

Machine learning

Project management

Education

Bachelor’s degree in a relevant field

Job description

The University of Miami is seeking a Manager, Data Science to lead data-driven initiatives across DIHDS and The MIL. You will apply advanced analytics, ML, and predictive modeling to support research, education, clinical innovation, and policy translation.

This role involves coordinating with faculty, engineers, and collaborators to develop scalable data architectures, analytics pipelines, and AI-enabled tools like MILADS, driving impactful multi-institutional projects.