AI Product Specialist

University of Miami•Miami, FL

About The Position

The AI Product Specialist is a senior functional and technical subject matter expert who supports, optimizes, and expands enterprise artificial intelligence applications. The role partners with business stakeholders and technical teams to assess business needs, design and implement AI-enabled solutions, and improve organizational workflows. The specialist leads complex implementations and enterprise-wide initiatives, maintains application configurations and operational standards, and provides technical guidance to less-experienced staff. The position embeds with assigned departments to understand workflows, identify pain points and manual workarounds, document current and future processes, and establish baseline measures. It translates findings into prioritized use cases and requirements, coordinates delivery with engineering and application teams, and serves as the liaison between departmental users and technical teams. The specialist also coordinates testing and go-live readiness, supports responsible and compliant AI use, develops training and adoption resources, and measures results against agreed success criteria.

Requirements

Bachelor’s degree in a relevant field.
Minimum 3 years of relevant experience.
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.

Nice To Haves

Relevant experience in business analysis, technology implementation, project delivery, or related work involving direct collaboration with end users and technical teams.
Experience in a health system or academic medical center.
Familiarity with Epic, Workday, or comparable enterprise applications.
Experience with AI or workflow automation initiatives.
Basic SQL or Python skills for retrieving and validating data, where relevant to assigned initiatives.
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.

Responsibilities

Serve as a senior functional and technical subject matter expert for assigned enterprise artificial intelligence applications.
Configure, maintain, and optimize application settings, functionality, workflows, and operational controls.
Evaluate new application features and emerging AI capabilities and coordinate implementation activities.
Monitor application performance, usage, adoption, and operational effectiveness to identify improvement opportunities.
Troubleshoot complex application issues and coordinate resolution with technical teams, vendors, and stakeholders.
Partner with business stakeholders to evaluate AI use cases and identify opportunities to improve productivity, quality, and operational efficiency.
Lead requirements-gathering sessions and workflow analyses; translate business needs into functional specifications, user stories, and solution requirements.
Design, test, implement, and continuously improve AI-enabled solutions, standardized prompts, templates, and workflows.
Document current- and future-state workflows, business rules, system configurations, technical standards, procedures, data flows, integrations, operational dependencies, and knowledge resources.
Lead testing, validation, user acceptance, implementation, and ongoing support for new functionality and application enhancements.
Collaborate with IT, cybersecurity, privacy, compliance, legal, data governance, and other stakeholders to support responsible and compliant AI use and obtain required reviews and approvals.
Develop and deliver user training, communications, quick-reference materials, and enablement resources to support adoption and utilization.
Lead complex application implementations, functional enhancements, and enterprise-wide initiatives aligned with business requirements and organizational priorities.
Provide technical guidance, coaching, and training to less-experienced analysts and help resolve complex functional and application-related matters.
Embed with assigned departments through observation, interviews, and workshops to understand workflows, identify pain points and workarounds, and establish baseline measures of volume, cycle time, errors, and staff effort.
Recommend process changes, existing-system improvements, automation, or AI solutions based on expected value, feasibility, and risk, in partnership with departmental leaders and technical teams.
Coordinate initiative delivery with engineering and application teams, tracking scope, milestones, dependencies, risks, decisions, and status; escalate barriers and proposed scope changes to appropriate owners.
Serve as the primary liaison between departmental users and technical teams, validating requirements, demonstrating proposed solutions, incorporating feedback, and aligning stakeholders on priorities and outcomes.
Coordinate pilots and go-live readiness, develop updated procedures, support departmental champions and adoption activities, and transition work to ongoing support.
Measure adoption and operational results against agreed baselines and success criteria, identify improvements, maintain enhancement backlogs with appropriate owners, and capture reusable practices.
Adhere to University and unit-level policies and procedures and safeguard University assets. The duties may be expanded as necessary.