AI Operations Analyst- 2 positions available

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