Experience with AI governance frameworks, responsible AI practices, model evaluation, and safety/alignment considerations for production AI systems EDUCATION Bachelor's Degree: Electrical Engineering, Computer Science or related field (Required) Master's Degree: MBA, Data Science, Computer Science, Engineering or related field (Preferred) or a combination of education and experience that provides equivalent knowledge to a major in such fields is required WORK LOCATION – Taylor, TX: Employees will be required to be on-site in Taylor, TX at minimum 2 days per week, or more, as needed based on the business needs as determined by management On-site schedules are flexible or may be rotated based on business needs as determined by the Manager Remote work is required to be performed from your Texas residence. Requires minimum of 10 years of progressively responsible experience in data products, analytics, business intelligence, AI/ML or generative AI domains Demonstrated experience building and scaling data products, analytics organizations and AI application development teams Proven track record developing and deploying AI-powered applications, including LLM-based systems, agentic AI, RAG architectures, or autonomous agents in production environments Exceptional people leadership with ability to build, develop, and retain high-performing technical teams Deep understanding of data product management, analytics development, MLOps practices and AI product life cycle development.