01Overview
Job Summary
About this role: Wells Fargo is seeking a Process Engineering Manager. Responsibilities Manage a team focused on process engineering initiatives, including building process sets and models Evaluate work to determine gaps, risks, and opportunities in order to prioritize design efforts and achieve maximum efficiency Identify and recommend opportunities for process improvement and risk control development Provide clear and concise direction and training Make decisions and resolve issues to meet business objectives Interpret policies, procedures, and compliance requirements Collaborate and influence all levels of professionals including more experienced managers Lead team to achieve objectives Manage allocation of people and financial resources for Process Engineering Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications 5+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications Demonstrated experience leading AI-enabled business transformation initiatives, leveraging Generative AI, Agentic AI, intelligent automation, and advanced analytics to drive operational excellence and measurable business outcomes. Strong understanding of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI agents, and workflow orchestration concepts, with the ability to translate emerging technologies into scalable business solutions. Proven ability to identify, prioritize, and govern a portfolio of AI-enabled opportunities, balancing business value, implementation feasibility, risk, and regulatory requirements. Experience designing future-state operating models and business processes that integrate AI, automation, and human-in-the-loop controls to improve productivity, quality, customer experience, and risk management. Knowledge of Responsible AI principles, AI governance, model risk management, data privacy, and control frameworks within highly regulated environments. Demonstrated ability to influence senior leaders and partner across Operations, Technology, Data, Risk, and Compliance functions to drive adoption and scale AI-enabled transformation. .
