Hiring: Director Artificial Intelligence & Automation Company: Sonepar USA Location: Broomfield, CO Job Posted Time: 2026-09-10 12:00:12 Employment Type: Full-time Target Skills & Keywords : AI, Agile, Azure, C++, Computer Vision, Databricks, Deep Learning, Enterprise Architecture, Hadoop, Java, Kafka, LLM, MLOps, Machine Learning, NLP, Product Management, Python, Risk Management, SQL, Snowflake, Spark About the job Experience: •10+ years of progressive leadership experience in information technology, software engineering, AI engineering, automation, data and analytics, digital platforms, or related technology disciplines. •5+ years leading enterprise-scale AI, automation, advanced analytics, technology delivery, digital product engineering, or platform teams in complex organizations. •5+ years of project and program leadership experience utilizing Agile, DevOps, and modern software delivery methodologies. •Proven track record deploying production-grade AI, automation, workflow, analytics, or software solutions that deliver measurable business value. •Demonstrated success leading technical teams, managing vendors, and coordinating cross-functional delivery across architecture, data, security, infrastructure, and application teams. Required Skills: •Lead execution of Sonepar's enterprise AI and automation portfolio, ensuring approved initiatives are delivered on time, within budget, and aligned with business objectives. •Drive successful deployment of Generative AI, machine learning, automation, and intelligent workflow solutions that generate measurable business impact. •Establish delivery plans, resource requirements, and success metrics for AI and automation initiatives. •Monitor value realization, adoption, performance, and operational outcomes across the portfolio. •Establish and lead AI Engineering, Automation Engineering, DevOps/MLOps, testing, release management, monitoring, and production support capabilities. •Ensure enterprise AI solutions are scalable, secure, reliable, and operationally sustainable. •Implement engineering best practices that support consistent deployment, monitoring, maintenance, and continuous improvement of AI-powered solutions. •Develop operational readiness standards for production-grade AI and automation applications. Qualifications: •Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business, or a related field. •Equivalent combination of education and professional experience may be considered. •Master's degree in Business Administration, Technology, Data Science, Analytics, Engineering, or a related discipline. •Professional certifications in AI, Cloud Computing, Automation, Agile Delivery, DevOps/MLOps, Product Management, or Enterprise Architecture. •Generative AI & Large Language Models (LLMs) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!