AI Applications & Data Analytics Lead

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Our website uses cookies to improve your experience. We also use analytic cookies to monitor how people use the website, with a goal of making improvements and making the site more useful.#AI Applications & Data Analytics Lead page is loaded## AI Applications & Data Analytics Lead Apply locations:
Watsonville, California:
Sacramento, California:
Everett, Washington:
Tucson, Arizona posted on:
Posted Todayjob requisition :
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** Building a career at Granite may be the most valuable thing you could do...
** Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite’s century-old success. We’re building more than infrastructure; we are building your future.
** General 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.# Essential Job Accountabilities Design, develop, and maintain AI‐enabled applications supporting aggregate and asphalt plant operations and sales. 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, Enhance and modernize legacy software systems through automation, predictive analytics, and decision‐support tools. Build and maintain data pipelines, APIs, and services enabling real‐time and near‐real‐time operational 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# Education
* 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.

Work Experience
* 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.# Knowledge, skills, and abilities
* 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.# Physical Demands The physical demands described here are representative of…