Act as an advisor to leadership to develop or influence automation architectures and AI-enabled engineering solutions supporting highly complex data, analytics, and BI platforms across multiple groups. Lead the strategy and resolution of highly complex and time-critical automation challenges requiring in-depth evaluation across legacy, modern data, and BI environments, delivering solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical, and inductive thinking. Design and deliver end-to-end automation across operational lifecycles, including assessment, planning, preparation, execution, and post-execution validation, to improve speed, consistency, and reliability. Translate advanced engineering experience, deep knowledge of the organization’s tactical and strategic data objectives, enterprise technology environment, organizational structure, and automation opportunities into effective engineering solutions that preserve data integrity and platform stability. Provide vision, direction, and expertise to leadership on implementing AI-infused automation that reduces manual dependency, accelerates remediation timelines, and enables rapid, repeatable execution during emergency scenarios. Maintain knowledge of industry best practices, automation frameworks, and AI technologies, and recommend innovations that enhance operational resilience, compliance posture, and audit readiness. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership on automation, data platform reliability, and operational risk reduction. Required Qualifications 7 years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications. Experience with Python, Spark, and Strong Dev. Sec. Ops skills. Experience designing and implementing automation solutions across enterprise data, analytics, and BI platforms. Strong understanding of operational automation, orchestration, and AI-enabled decisioning in complex environments. Experience supporting high-frequency, high-risk operational processes requiring auditability and consistency. Demonstrated ability to influence technical strategy across multiple data and platform teams. Automation of high-risk / high-frequency operations (not just tooling—production impact)AI-infused automation strategy (beyond basic scripting; decisioning optimization)Legacy-to-modern automation transformation experience. Enterprise-scale reliability engineering mindset (stability, resiliency, audit readiness)Posting End Date: 28 May 2026 - Job posting may come down early due to volume of applicants. We Value Equal Opportunity. Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.