APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 5+ years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of experience with PEGA case management/business process management syste

Desired Qualifications:

• 5+ years leading medium to large-scale architecture programs
• Strong communication and stakeholder influence skills, including at senior levels
• Deep understanding of architecture best practices and domain-driven microservices
• Proven ability to lead through ambiguity and change in complex environments
• Proficiency in architecture modeling tools (e.g., Bizzdesign, ArchiMate)
• Demonstrated experience integrating AI/ML solutions into enterprise architectures
• Strong grasp of AI governance, lifecycle management, and ethical deployment
• Familiarity with data engineering practices supporting AI (e.g., pipelines, feature engineering)
• Ability to assess platform health and readiness through tech portfolio evaluation

Wells Fargo is seeking a Lead System Architect to join our Chief Operating Office Technology (COO Tech), supporting Payment Operations. This is a key leadership role for a forward-thinking technologist who is passionate about driving transformation and innovation across the enterprise.
As a Lead Architect, you will play a pivotal role in shaping the future of our payment systems. You’ll bring deep expertise in modern technology practices, a strategic mindset, and the ability to navigate complex environments. Your work will directly support critical areas such as Payment Processing, Investigations and Exceptions, Monitoring and Controls, Transformation, and related services.

In this role, you will:

• Serve as the Product Architect for platforms supporting Payment Operations within the COO lines of business.
• Act as the primary technology expert working closely with both business and technology executives to develop technology strategy and architecture.
• Provide ongoing architectural support and direction for multiple technical efforts across several agile squads.
• Provide strategic direction in the development and maintenance of architectures for Payment Operations that are transformative and in compliance with the Enterprise Architecture.
• Create product architecture artifacts as required, including current, transition, and target state architecture documentation.
• Communicate the target architectures and direction to both management and systems-related teams within Payment Operations and direct implementation of the architecture.
• Act as a transformational agent for change across TCOO.
• Drive the development and alignment of product strategy and roadmap with business objectives, leveraging market trends, customer feedback, and enterprise architecture frameworks to ensure product success and strategic fit.

Required Qualifications:

• 5+ years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of experience with PEGA case management/business process management system

Desired Qualifications:

• 5+ years leading medium to large-scale architecture programs
• Strong communication and stakeholder influence skills, including at senior levels
• Deep understanding of architecture best practices and domain-driven microservices
• Proven ability to lead through ambiguity and change in complex environments
• Proficiency in architecture modeling tools (e.g., Bizzdesign, ArchiMate)
• Demonstrated experience integrating AI/ML solutions into enterprise architectures
• Strong grasp of AI governance, lifecycle management, and ethical deployment
• Familiarity with data engineering practices supporting AI (e.g., pipelines, feature engineering)
• Ability to assess platform health and readiness through tech portfolio evaluations

Job Expectations:

• This position is not eligible for Visa sponsorship.
• This position offers a hybrid work schedule.
• Relocation assistance is not available for this position
• Ability to travel up to 5% of the time