Director of AI & Adv Analytics

Overview Provides strategic and technical leadership for the organization's AI, ML, and advanced analytics capabilities. This role defines the vision, roadmap, and standards for AI-driven innovation, leads a team of AI/ML engineers and data scientists, and partners with business and technology leaders to deliver scalable solutions that generate insights, improve decision-making, optimize operations, and create measurable business value. Responsibilities Essential Functions The list of essential functions, as outlined herein, is intended to be representative of the duties and responsibilities performed within this classification. It is not necessarily descriptive of any one position in this class. The omission of an essential function does not preclude management from assigning duties not listed herein if such functions are a logical assignment to the position. Provides strategic leadership for the organization's AI, machine learning, and advanced analytics capabilities and establishes the vision, roadmap, standards, and operating model for AI-driven innovation Directs the design, development, deployment, and lifecycle management of AI solutions, machine learning models, intelligent agents, and advanced analytics applications that address complex business challenges Oversees the development of generative AI capabilities, including Retrieval-Augmented Generation (RAG), foundation model customization, vector search technologies, embeddings, and enterprise knowledge integration Establishes enterprise standards for agent orchestration, model evaluation, MLOps, monitoring, governance, and responsible AI practices that ensure scalable and reliable solutions Leads the application of advanced statistical methods, predictive modeling, experimentation, forecasting, and analytical techniques that support strategic decision-making and operational improvement Partners with business, product, and technology leaders and aligns AI/ML priorities, capabilities, and delivery roadmaps with organizational objectives and measurable business outcomes Directs the development of AI-ready data assets, feature engineering capabilities, and model training frameworks that support machine learning and generative AI initiatives Establishes and enforces governance, security, compliance, documentation, and quality standards that promote transparency, reproducibility, and responsible AI adoption Drives performance management and optimization activities across AI models, platforms, and operational processes to maximize accuracy, efficiency, business value, and cost effectiveness Manages AI/ML infrastructure, cloud services, vendor relationships, budgets, and resource planning to ensure secure, scalable, and efficient operations Builds, leads, and develops a high-performing team of AI/ML engineers, data scientists, and analytics professionals through coaching, mentoring, talent development, and performance management Evaluates emerging technologies,…