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The University of Miami Information Technology & Systems Department has an exciting opportunity for a full-time AI Product Specialist.
The AI Product Specialist serves as a senior functional and technical subject matter expert responsible for supporting, optimizing, and expanding enterprise artificial intelligence applications. This role partners with business stakeholders and technical teams to analyze business needs, design and implement AI-enabled solutions, and improve organizational workflows. The incumbent leads complex implementations and enterprise-wide initiatives, maintains application configurations and operational standards, and provides guidance and technical leadership to less experienced staff.
Core Responsibilities:
Serves as a senior functional and technical subject matter expert for assigned enterprise artificial intelligence applications.
Configures, maintains, and optimizes application settings, functionality, workflows, and operational controls.
Evaluates new application features and emerging artificial intelligence capabilities and coordinates implementation activities.
Monitors application performance, usage patterns, adoption measures, and operational effectiveness to identify opportunities for improvement.
Troubleshoots complex application issues and coordinates resolution activities with technical teams, vendors, and other stakeholders.
Partners with business stakeholders to evaluate artificial intelligence use cases and identify opportunities to improve productivity, quality, and operational efficiency.
Leads requirements-gathering sessions and workflow analyses and translates business needs into functional specifications, user stories, and solution requirements.
Designs, tests, implements, and continuously improves AI-enabled solutions, standardized prompts, templates, and workflows.
Documents current-state and future-state workflows, system configurations, technical standards, procedures, and knowledge resources.
Leads testing, validation, user acceptance, implementation, and ongoing support activities for new functionality and application enhancements.
Collaborates with information technology, cybersecurity, privacy, compliance, legal, and other stakeholders to support responsible and compliant use of artificial intelligence applications.
Develops and delivers user training, communications, and enablement resources to support effective application adoption and utilization.
Leads complex application implementations, functional enhancements, and enterprise-wide initiatives, ensuring alignment with business requirements and organizational priorities.
Provides technical guidance, coaching, and training to less-experienced analysts and serves as a resource for resolving complex functional and application-related matters.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Department Specific Functions:
Embeds with assigned departments through observation, interviews, and workshops to understand daily workflows, identify pain points and manual workarounds, and establish baseline measures of volume, cycle time, errors, and staff effort.
Documents current- and future-state processes, business rules, applications, integrations, data flows, and operational dependencies; maintains clear requirements and process documentation.
Translates findings into prioritized use cases, user stories, and acceptance criteria. Recommends process changes, existing-system improvements, automation, or AI solutions based on expected value, feasibility, and risk, in partnership with departmental leaders and technical teams.
Coordinates delivery of assigned initiatives with engineering and application teams, maintaining scope, milestones, dependencies, risks, decisions, and status updates; escalates barriers and proposed scope changes to the appropriate owners.
Serves as the primary liaison between departmental users and technical teams, validating requirements, demonstrating proposed solutions, incorporating feedback, and aligning stakeholders on priorities and expected outcomes.
Coordinates user acceptance testing, pilots, and go-live readiness. Works with security, privacy, compliance, data governance, and application owners to obtain required reviews and approvals before implementation.
Develops and delivers end-user training, quick-reference materials, and updated procedures; supports departmental champions, adoption activities, and the transition to ongoing support.
Measures adoption and operational results against agreed baselines and success criteria; identifies improvements, maintains the enhancement backlog for assigned initiatives in partnership with appropriate owners, and captures reusable practices for future department engagements.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
MINIMUM QUALIFICATIONS :
Bachelor’s degree in relevant field required
Minimum 3 years of relevant experience required
Relevant experience in business analysis, technology implementation, project delivery, or related work that includes direct collaboration with end users and technical teams preferred
Experience in a health system or academic medical center preferred
Familiarity with Epic, Workday, or comparable enterprise applications; experience with AI or workflow automation initiatives preferred
Basic SQL or Python skills for retrieving and validating data, where relevant to assigned initiatives preferred
Relevant certification in project management, agile delivery, process improvement, or change management, such as PMP, CAPM, Certified ScrumMaster, Lean Six Sigma Green Belt, or Prosci Change Management preferred
Skill in collecting, organizing, and analyzing data.
Ability to recognize, analyze, and solve a variety of problems.
Ability to exercise sound judgment in making critical decisions.
Ability to conduct discovery through observation, interviews, and workshops; map workflows; and translate findings into clear, testable requirements.
Ability to coordinate cross-functional delivery, support prioritization, and communicate with front-line staff, departmental leaders, and technical teams.
Working understanding of data, enterprise applications, APIs, and integrations sufficient to collaborate effectively with technical specialists.
Ability to coordinate user acceptance testing, deliver end-user training, support adoption, and measure operational outcomes.
Sound judgment in handling sensitive data and evaluating healthcare workflows and responsible uses of AI and automation, with appropriate escalation to designated owners.
Any appropriate combination of relevant education, experience and/or certifications may be considered.
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
UHealth- University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
