Process Engineer Manager (Operational Excellence)

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.