Industrial AI Applications & Analytics Lead

Granite; Watsonville (CA); Hybrid; USD 96,000 - 175,000; Full time

Benefits offered by this job

Health benefits package

401(k) with employer match

Paid time off

Job summary

Granite is seeking an AI Applications & Data Analytics Lead to build and scale AI solutions across plants, sales, and support functions. You will own prioritization and execution of AI use cases, bridging field operations and technology to improve safety, production, and cost.

Qualifications include a Bachelor’s in a quantitative field and 2+ years in software/data/AI roles, with experience delivering production-ready apps in industrial settings.

Qualifications

• Bachelor's Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields.
• 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.

Responsibilities

• Design, develop, and maintain AI-enabled applications for plant operations and sales.
• Develop and implement machine learning and advanced analytics models to optimize production, pricing, uptime, and cost.
• Integrate AI solutions with existing operational software, plant systems, sensors, and databases.
• Build and maintain data pipelines, APIs, and services for real-time insights.
• Collaborate with cross-functional teams to translate business needs into technical solutions.

Skills

AI/ML

Data analytics

Software development

Education

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

Job description

Granite is seeking an AI Applications & Data Analytics Lead to build and scale AI solutions across plants, sales, and support functions. You will own prioritization and execution of AI use cases, bridging field operations and technology to improve safety, production, and cost.

Qualifications include a Bachelor’s in a quantitative field and 2+ years in software/data/AI roles, with experience delivering production-ready apps in industrial settings.