A.I. Transformation Lead

Granite Construction•Watsonville, CA

About The Position

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 Job Profile Summary This role builds and deploys smart, data driven tools that enhance efficiency, quality, safety, and decision making across aggregate and asphalt production operations. It uses artificial intelligence, machine learning, and advanced analytics to improve production systems, optimize workflows, and support overall operational excellence. (Able to work out of any Granite location)

Requirements

Bachelor’s degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Mathematics, or a related quantitative field. Equivalent practical experience may be considered for candidates with a demonstrated strong portfolio
Minimum of five (5) years of professional experience delivering software, analytics, or automation solutions within operational or industrial environments
Demonstrated success deploying production‑ready applications used in field, plant, or equipment‑intensive operations
Experience working with operational data systems, plant or equipment data flows, and modern database or application architectures supporting industrial processes
Background in aggregates, asphalt, construction materials, mining, manufacturing, or similar industrial operations, with familiarity of field and plant operational constraints
Ability to present complex technical or analytical concepts clearly and concisely to non‑technical stakeholders
Strong cross-functional facilitation skills, enabling alignment between operations, engineering, sales, and maintenance teams
Proficiency with plant control systems (e.g., batching, weighing, or monitoring systems) at an intermediate level, including the ability to interpret production data and identify equipment or process anomalies
Ability to analyze sales and production data using tools such as Excel, SQL, or BI platforms to develop clear operational insights
Applied artificial intelligence and machine learning at a practitioner level, including developing or utilizing supervised/unsupervised models to improve operational efficiency
Industrial software development and systems integration at an intermediate–advanced level, including scripting, API use, and connecting OT/IT data flows
Strong data‑driven problem‑solving ability, including defining problems, selecting appropriate analytical tools, evaluating alternatives, and recommending measurable improvements
Operational and sales mindset with a demonstrated ability to incorporate safety, quality, and efficiency considerations into routine decision‑making
Collaborative, partnership-oriented approach, with demonstrated ability to build effective working relationships across technical and operational teams
Valid driver’s license and ability to drive for extended periods of time
Comply, understand, and support company safety initiatives to ensure a safe work environment
Ability and willingness to abide by company code of conduct daily

Nice To Haves

Master of Science degree with a focus in Computer Science or a closely related discipline is strongly preferred

Responsibilities

Design and maintain AI‑enabled applications to enhance operational efficiency and sales performance across aggregate and asphalt plant operations
Develop and refine machine learning models to optimize automation settings, improve production efficiency, increase plant uptime, strengthen material quality, and reduce operational costs
Analyze sales, pricing, and GIS data to optimize product pricing strategies that support revenue growth and market competitiveness
Integrate AI capabilities with existing plant systems, sensors, databases, and operational software to ensure seamless information flow and improved decision‑making
Enhance sales efficiency by deploying AI tools and bots that automate the review of technical specifications and other sales-related documents
Modernize legacy software systems by implementing automation, predictive analytics, and decision-support tools that improve reliability and scalability
Build and maintain data pipelines, APIs, and services that deliver real‑time and near-real‑time insights for operational and business decision support
Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence that drives performance improvements
Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions that drive organizational value
Ensure all AI solutions comply with cybersecurity standards, company policies, and responsible AI practices to safeguard data and maintain system integrity
Document systems, models, and technical processes to support long-term system sustainability, knowledge transfer, and user adoption
Continuously evaluate emerging AI and software technologies to identify opportunities for innovation and operational improvement
May perform additional duties as needed from time to time to support evolving business and technology needs

Benefits

paid holidays
sick leave
medical
dental
vision
life insurance
disability insurance
flexible spending plans
special programs for musculoskeletal health, mental wellness, and more
As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.