Industrial AI Applications & Data Analytics Lead

Granite Construction; Tucson (AZ); On-site; USD 96,000 - 175,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid holidays

Sick leave

Dental insurance

Vision insurance

Life insurance

Disability insurance

Flexible spending accounts

Job summary

Granite Construction is seeking an AI Applications & Data Analytics Lead to build and scale AI solutions that improve safety, production, and efficiency across plants and sales. The role bridges field operations and technology, turning data into actionable intelligence and deploying AI-enabled apps to boost decision-making and productivity.

You will own use cases from ideation to deployment, design data pipelines and ML models, integrate AI with plant systems, and collaborate across operations,

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 2+ years delivering production-ready apps or analytics in industrial environments.
• Strong data analytics skills and ability to communicate with non-technical stakeholders.

Responsibilities

• Design, develop, and maintain AI-enabled applications for plant operations and sales.
• Develop ML and analytics models to optimize production, pricing, uptime, and cost.
• Build data pipelines, APIs, and services for real-time insights.
• Collaborate with operations, sales, quality, maintenance, and IT teams.
• Ensure cybersecurity alignment and responsible AI practices.

Skills

AI/ML development

Data analytics

Software development

Databases

APIs

Industrial software

Education

Bachelor's degree in AI/CS/DS/Math

Tools

Python

SQL

Cloud platforms

Job description

Granite Construction is seeking an AI Applications & Data Analytics Lead to build and scale AI solutions that improve safety, production, and efficiency across plants and sales. The role bridges field operations and technology, turning data into actionable intelligence and deploying AI-enabled apps to boost decision-making and productivity.

You will own use cases from ideation to deployment, design data pipelines and ML models, integrate AI with plant systems, and collaborate across operations,