AI Transformational Lead at Granite Construction in Watsonville, CA
- Company: Granite Construction
- Location: Watsonville, California
- Salary: $106K – $167K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-27
All open roles at Granite Construction
Job description
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 This role builds and deploys smart, data- driven tools that enhances efficiency, accuracy, safety, and decision- making across civil estimating and construction operations. It uses artificial intelligence, machine learning, and advanced analytics to improve quantity takeoffs, cost estimating, bid development, project planning, field execution, project controls, and overall operational excellence. Essential Job Accountabilities Design and maintain AI-enabled applications that improve civil estimating accuracy, bid development, project planning, and construction execution. Develop and refine machine learning models and analytical tools to improve quantity takeoffs, production-rate forecasting, cost modeling, schedule development, risk assessment, and estimate accuracy. Analyze historical estimates, bid results, cost data, productivity, equipment performance, and GIS data to strengthen pricing strategies, improve competitiveness, and support informed go/no-go decisions. Integrate AI capabilities with estimating, scheduling, project controls, equipment, document management, GIS, CAD, and field data systems to create reliable information flow from pursuit through project completion. Improve estimating efficiency by deploying AI tools and automation that review plans, specifications, addenda, geotechnical reports, bid forms, contracts, and other pursuit documents; identify scope, risks, quantities, and requirements; and support compliant proposal development. Modernize legacy estimating and construction systems by implementing workflow automation, predictive analytics, standardized data models, and decision-support tools that improve reliability, scalability, and user adoption. Build and maintain data pipelines, APIs, dashboards, and services that connect estimating and project data and provide timely insights into cost, quantities, productivity, schedule, risk, and forecast performance Analyze large datasets from estimates, cost reports, schedules, field production, equipment telematics, survey, quality, and safety systems to generate actionable intelligence that improves estimate quality and construction performance. Collaborate with estimators, preconstruction leaders, project managers, engineers, field operations, project controls, equipment, safety, and IT teams to translate business needs into scalable technical solutions. Ensure AI solutions comply with cybersecurity standards, company policies, bid confidentiality requirements, data governance, and responsible AI practices to safeguard sensitive estimate and project information. Document systems, models, assumptions, data standards, and technical processes to support estimate traceability, knowledge transfer, governance, long-term sustainability, and user adoption. Continuously evaluate emerging AI, estimating, construction technology, and software capabilities to identify practical opportunities for innovation, standardization, and measurable operational improvement. May perform additional duties as needed from time to time to support evolving business and technology needs Education Bachelor’s degree in Civil Engineering, Construction Management, Computer Science, Data Science, Software Engineering, or a related quantitative or construction discipline. Equivalent practical experience may be considered for candidates with a demonstrated portfolio of estimating or construction technology solutions. Advanced degree, professional certification, or specialized training in civil engineering, construction management, estimating, project controls, computer science, data science, or a closely related disciplin
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