Overview
In this role you will lead enterprise and portfolio architecture for Wells Fargo’s Commercial Banking business from London, guiding modernization, AI adoption, and risk-aware strategy. You will partner with senior technology and business leaders to translate strategy into actionable roadmaps and governance. The position combines senior leadership with deep hands-on architecture expertise to drive cross-domain initiatives across Commercial Banking, International Banking, and enterprise platforms. You’ll foster architecture standards, scalable patterns, and measurable business value while mentoring senior architects.
Responsibilities
- Lead engineering managers and leads to deliver on enterprise priorities
- Develop actionable roadmaps aligned to strategic goals
- Drive continuous improvement of software engineering practices
- Ensure security, resilience, availability, and scalability across solutions
- Oversee risk management and resource planning
- Hire and develop engineering talent and mentor teams
- Lead cross-domain projects and collaborate with regulators and external forums
- Allocate people and financial resources for technology leadership
- Foster talent development and culture aligned with business strategy
- Interface with CIOs, product, risk, and senior leaders to maintain alignment
Key requirements
- Significant experience in engineering, architecture, or technology leadership
- Experience leading major technology initiatives and cross-functional programs
- Proven success leading senior technology professionals and talent processes
- Experience defining and leading architecture strategies for large-scale enterprise systems
- Strong analytical thinking, strategic perspective, and commercial judgement
- Extensive experience influencing CIO-level executives and business stakeholders
- Deep understanding of architecture governance, risk, cybersecurity, resiliency, and regulatory expectations
- Exceptional executive communication and ability to simplify complex concepts
- Maturity, credibility, and ability to operate through ambiguity and change
- Experience designing or governing enterprise AI solutions (Generative AI, ML platforms, RAG)
- executive presence
- strong communication
- stakeholder management
- cloud and platform architecture
- distributed systems
- data architecture and integration
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