AI TRANSFORMATION ANALYST

Premier Health•Dayton, OH

About The Position

Premier Health is hiring an AI Transformation Analyst for its Digital Health & Technology - Strategy department. This early-career role evaluates how AI can improve clinical and business workflows and supports decisions about which solutions to adopt and how to deliver value. The analyst works closely with senior leaders and cross-functional teams, translating business needs into actionable product requirements and supporting work across AI, business analysis, digital health, and product strategy. Reporting to and serving as a close partner to the Sr. Product Manager, the analyst helps shape product strategy, research user workflows, develop business cases and user stories, support AI solution implementations, and monitor outcomes after launch. The role provides experience with Agile environments, stakeholder collaboration, workflow analysis, and healthcare innovation.

Requirements

Associate degree required.
Equivalent relevant experience may be considered in place of a degree.
Understanding of consumer needs, priorities, and pain points.
Ability to work independently, drive initiatives, and improve processes with minimal oversight.
Strong analytical, communication, and problem-solving skills.
Ability to think laterally and translate complex needs into actionable recommendations.

Nice To Haves

Bachelor’s degree preferred.
Degree in Business, Computer Science, or a related field preferred.
1–3 years of job-related experience preferred.
Background as an Agile team member, Business Analyst, Team/Project/Product Lead, Digital Healthcare Analyst, Data Analyst, or Workflow Analyst preferred.
Understanding of clinical processes within the healthcare industry preferred.
Familiarity with cost-benefit analysis for feature prioritization.
Experience writing and collaborating on user stories preferred.
Experience working with or supporting teams in an Agile environment preferred.

Responsibilities

Partner with the Sr. AI Product Manager and Support Operations leaders to identify business problems and opportunities that may benefit from AI.
Research and document current workflows, pain points, user needs, root causes, and performance baselines.
Translate validated business problems into AI use cases, requirements, user stories, and acceptance criteria.
Assess workflow, data, technology, operational readiness, dependencies, and risks associated with proposed AI use cases.
Support prioritization of AI opportunities based on business value, feasibility, readiness, operational impact, and risk.
Support AI implementation through requirements clarification, testing, demonstrations, user feedback, and coordination with business and technical teams.
Work with users to understand how AI fits into existing workflows, where it provides value, and where it creates friction.
Develop communication, training, and support materials, including user guides, FAQs, demonstrations, and practical examples.
Facilitate workshops, working sessions, office hours, and other activities that help teams adopt AI safely and effectively.
Help teams integrate successful AI solutions into daily workflows and establish ongoing operational support.
Help define evaluation criteria for AI quality, including accuracy, completeness, usefulness, consistency, safety, and user acceptance.
Establish baseline measures and track quality, adoption, financial, and operational outcomes.
Test AI outputs against real-world scenarios and potential failure cases before implementation.
Monitor AI performance and adoption through usage, user feedback, corrections, errors, escalations, and business outcomes.
Analyze results and recommend changes to the solution, workflow, training, or rollout approach.