Sr Operational Ex Analyst

Honeywell • El Paso, TX

10d

About The Position

The Sr Operational Ex Analyst builds and enhances AI agents for operational analytics and decision support, integrating them with approved data products and semantic models. The role applies prompt engineering, retrieval-augmented generation (RAG) architectures, and agent workflows, and tests and optimizes agent performance and reliability.

The position also develops Bronze, Silver, and Gold data models; creates reusable data pipelines and transformations; builds governed datasets for AI and reporting solutions; and supports data quality and lineage requirements. Typical deliverables include AI agents, Databricks notebooks, data pipelines, Gold tables, semantic models, KPI calculations, Power BI reports, operational dashboards, predictive models, and control tower features. Success is measured by AI agent adoption, pipeline reliability, dashboard performance, reduced manual analysis, model accuracy, delivery of new AI capabilities, user satisfaction, and business value generated by deployed solutions.

Candidates must be a U.S. person under applicable U.S. export control laws and regulations: a U.S. citizen, U.S. permanent resident, or person with protected status in the U.S. under asylum or refugee status.

Requirements

• Python
• SQL
• Databricks
• Spark
• Power BI
• Data modeling
• ETL/ELT development
• Git
• REST APIs
• Generative AI
• LLM integration
• AI agents
• Prompt engineering
• RAG (Retrieval Augmented Generation)
• MLflow
• Machine learning fundamentals
• Vector databases
• Must be a U.S. person under U.S. export control laws and regulations: a U.S. citizen, U.S. permanent resident, or person with protected status in the U.S. under asylum or refugee status.

Nice To Haves

• Digital twin development
• Process mining
• Supply chain analytics
• Manufacturing analytics
• Optimization models
• Forecasting models

Responsibilities

• Build and enhance AI agents for operational analytics and decision support.
• Integrate AI agents with approved data products and semantic models.
• Implement prompt engineering, RAG architectures, and agent workflows.
• Test and optimize AI agent performance and reliability.
• Develop Bronze, Silver, and Gold data models.
• Create reusable data pipelines and transformations.
• Build governed datasets for AI and reporting solutions.
• Support data quality and lineage requirements.

Benefits

• Employer-subsidized medical insurance
• Employer-subsidized dental insurance
• Employer-subsidized vision insurance
• Employer-subsidized life insurance
• Short-term disability
• Long-term disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• Employee Assistance Program (EAP)
• Educational assistance
• Parental leave
• Paid time off for vacation, personal business, sick time, and parental leave
• 12 paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed