AI-Driven IT Operations Analyst

University of Connecticut

Storrs (CT)

On-site

USD 95,000 - 130,000

Full time

11 days ago
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Benefits offered by this job

Employee tuition waivers
Dependent tuition waivers
Comprehensive benefits

Job summary

The University of Connecticut in Storrs is seeking a data and AI analytics professional to bridge business intelligence, data analysis, and AI-powered solutions for operational teams.

You will identify opportunities for AI, develop AI-enabled methods, validate outputs, and collaborate with data engineers to operationalize repeatable analytical processes while upholding responsible AI practices. This is a full-time role emphasizing governance and stakeholder communication.

Qualifications

  • Bachelor’s degree and six years of related experience.
  • Experience applying AI tools to improve workflows.
  • Experience statistical data analysis with large datasets.
  • Experience evaluating AI solutions with responsible AI grounding.
  • Ability to translate stakeholder needs into AI-enabled solutions.
  • Experience communicating findings to non-technical stakeholders.

Responsibilities

  • Assess and identify areas where AI can improve workflows and decision-making.
  • Develop AI-enabled analytical methods and prototype solutions.
  • Collaborate with analysts to operationalize AI within reporting and dashboards.
  • Validate AI outputs for accuracy, bias, and relevance before use.
  • Document AI-assisted workflows and modeling approaches.

Skills

AI modeling
Data analysis
Python
SQL
Stakeholder communication
Prompts/workflows design

Education

Bachelor's degree in Information Technology / Data Science

Tools

Jupyter
Power BI
APIs

Job description

The University of Connecticut in Storrs is seeking a data and AI analytics professional to bridge business intelligence, data analysis, and AI-powered solutions for operational teams.

You will identify opportunities for AI, develop AI-enabled methods, validate outputs, and collaborate with data engineers to operationalize repeatable analytical processes while upholding responsible AI practices. This is a full-time role emphasizing governance and stakeholder communication.

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