AI Operations Analyst

Marshall University; Huntington (WV); On-site; USD 65,000 - 100,000; Full time

Job summary

Marshall University seeks an AI Operations Analyst to apply AI, predictive analytics, and automation to improve clinical and operational outcomes. You will work with clinical, technical, and evaluation teams to implement responsible AI, govern data use, and ensure privacy compliance.

Your role includes developing AI-enabled analytics dashboards, deploying predictive models, and enhancing workflows with automation while monitoring model fairness and performance.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field.
• Three years of experience in analytics, business intelligence, data science, healthcare informatics, or operational improvement.
• Experience using AI, machine learning, predictive analytics, or automation tools.

Responsibilities

• Develop and maintain AI-enabled operational analytics tools and dashboards.
• Assist in the design and deployment of predictive models that identify participants at risk for disengagement, deteriorating status, or adverse outcomes.
• Support automated triage, risk stratification, and prioritization workflows using approved clinical and operational criteria.
• Monitor AI system performance, accuracy, reliability, and fairness.
• Develop automated reporting and workflow optimization solutions.
• Analyze utilization patterns, engagement trends, and operational performance metrics.
• Collaborate with evaluators and data specialists to support advanced analytics initiatives.
• Translate large datasets into actionable operational recommendations.
• Assist with implementation of NLP, intelligent reporting, decision-support tools, and other AI-driven technologies.
• Support governance processes related to AI safety, transparency, data quality, and privacy.
• Train staff on AI-enabled tools and promote responsible use practices.
• Maintain documentation for models, workflows, assumptions, and performance monitoring activities.

Skills

AI/ML concepts

Data analysis

Governance & privacy awareness

Communication

Cross-functional collaboration

Education

Bachelor's degree in Data Science/CS/Health Informatics/Analytics/Engineering/Math/Stats

Master’s degree in Data Science/AI/Analytics/CS/Informatics (preferred)

Tools

Azure AI

Microsoft Fabric

Power BI

Python

R

SQL

Job description

Position Details Position Information Banner Position Number R10955 Position Title AI Operations Analyst Classification Title MURC-Other Bus Operations Spec Department SOM - VP Health Science/Dean - RC5000 Job Description

Position Summary

The AI Operations Analyst applies artificial intelligence, predictive analytics, machine learning, and automation tools to enhance operational performance, participant engagement, clinical workflow efficiency, and decision support. The position works collaboratively with clinical, technical, operational, and evaluation teams to identify opportunities for responsible AI implementation that improve program effectiveness while maintaining appropriate governance, privacy, and regulatory compliance.

Essential Duties And Responsibilities

• Develop and maintain AI-enabled operational analytics tools and dashboards.
• Assist in the design and deployment of predictive models that identify participants at risk for disengagement, deteriorating clinical status, or adverse outcomes.
• Support automated triage, risk stratification, and prioritization workflows using approved clinical and operational criteria.
• Monitor AI system performance, accuracy, reliability, and fairness.
• Develop automated reporting and workflow optimization solutions.
• Analyze utilization patterns, engagement trends, and operational performance metrics.
• Collaborate with evaluators and data specialists to support advanced analytics initiatives.
• Translate large datasets into actionable operational recommendations.
• Assist with implementation of natural language processing, intelligent reporting, decision-support tools, and other AI-driven technologies.
• Support governance processes related to AI safety, transparency, data quality, and privacy.
• Train staff on AI-enabled tools and promote responsible use practices.
• Maintain documentation for models, workflows, assumptions, and performance monitoring activities.

Location

OTHR - Other Off-Campus Location

Salary Range

Salary is commensurate with education, experience, and internal equity

Required Qualifications

Education

• Bachelor’s degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field.

Experience

• Three years of experience in analytics, business intelligence, data science, healthcare informatics, or operational improvement.
• Experience using AI, machine learning, predictive analytics, or automation tools

Preferred Qualifications

Education

• Master’s degree in Data Science, Artificial Intelligence, Analytics, Computer Science, Informatics, or related field.

Experience

• Healthcare analytics experience.
• Experience with Azure AI, Microsoft Fabric, Power BI, Python, R, SQL, machine learning platforms, or cloud-based analytics environments.
• Experience supporting population health, chronic disease management, telehealth, or remote monitoring programs.

Posting Detail Information

Posting Number MR0929 Open Date 10/08/2026 Close Date Open Until Filled Yes Special Instructions Summary

Supplemental Questions

Required fields are indicated with an asterisk (*).

• * Do you have a Bachelor's degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field?
• Yes
• No

Applicant Documents

Required Documents

• Resume
• Cover Letter