AI Operations Analyst

Marshall University; Huntington (WV); On-site; USD 80,000 - 110,000; Full time

Job summary

Marshall University in Huntington, West Virginia is seeking an AI Operations Analyst to apply artificial intelligence, predictive analytics, machine learning, and automation to improve operational performance, participant engagement, and clinical workflow efficiency. The role collaborates with clinical, technical, operational, and evaluation teams to identify responsible AI opportunities.

You will develop AI-enabled analytics, support model deployment, monitoring, and reporting, and help

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.

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.