AI Applications & Data Analytics Lead

Role Summary

The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations.

This role serves as the bridge between field operations and technology—turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision‑making, automate workflows, and enhance productivity.

The position combines hands‑on development capability with business leadership—owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.

Design, develop, and maintain AI‑enabled applications supporting aggregate and asphalt plant operations and sales.
Responsibilities include:

• Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance.
• Optimize product pricing with sales data including pricing and GIS data.
• Integrate AI solutions with existing operational software, plant systems, sensors, and databases.
• Enhance sales efficiency through the use of AI and bots to review specifications.
• Modernize legacy software systems through automation, predictive analytics, and decision‑support tools.
• Build and maintain data pipelines, APIs, and services enabling real‑time insights.
• Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence.
• Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions.
• Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices.
• Document systems, models, and processes to support long‑term sustainability and user adoption.
• Continuously evaluate emerging AI and software technologies relevant to construction materials.

• Bachelor’s Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.

• Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
• Experience delivering production‑ready apps, and software solutions in operational or industrial environments.
• Strong data analytics skills.
• Experience working with databases, analytics platforms, and modern application architecture.

• Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
• Familiarity with plant control systems, sales and production data.
• Experience with predictive maintenance, quality analytics, or process optimization.
• Strong communication skills and ability to work with non‑technical stakeholders.
• Applied artificial intelligence and machine learning.
• Industrial software development and systems integration.
• Data‑driven problem solving.
• Operational and sales mindset focused on safety, quality, and efficiency.
• Collaborative and partnership mindset.

The employee must talk and hear regularly, stand, walk, sit and use hands to operate a computer keyboard. Must be able to walk uneven and steep ground to access property for interacting with operations and sales employees. Must meet vision requirements. Reasonable accommodations may be made for qualified employees with disabilities.