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Wells Fargo is seeking a Software Engineering Senior Manager. The COO Technology group delivers technology solutions for the Chief Operating Office, supporting operations, control executives, strategic execution, business continuity, resiliency, data services, regulatory relations, customer experience, enterprise shared services, supply chain management, and corporate properties. Our mission is to modernize and optimize technology platforms for these critical functions. We are seeking a Technology Director to lead Data Platform Architecture and chair the COO Data Platform Architecture Forum, a strategic governance and collaboration initiative within Wells Fargo’s COO Technology division. This role is pivotal in driving data platform modernization, accelerating migration to Google Cloud Platform (GCP), and ensuring architectural consistency across verticals. The ideal candidate is a visionary leader with deep expertise in cloud-native data architecture, AI/ML enablement, and enterprise-scale governance.
Job Responsibility:
Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture
for example cloud readiness, application modernization, data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
Interact directly with third party vendors and technology service providers
Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
Design and implement real-time and batch data architecture on GCP
Develop scalable data pipelines and orchestration frameworks for AI/ML, BI, and Generative AI use cases
Implement event-driven architectures leveraging Pub/Sub, Dataflow, BigQuery, and Cloud Composer
Build ingestion frameworks for structured/unstructured data using Apache Beam, Dataflow templates, and GCS
Enable semantic layers and knowledge graphs for context-aware dataflows supporting advanced AI systems
Collaborate with data scientists and ML engineers to ensure readiness for LLM fine-tuning and evaluation
Implement data observability, lineage, and governance using Dataplex, Data Catalog, and Looker
Chair the ADS Architecture Forum to align 16 migration efforts across COO verticals
Drive collaboration among architects to share patterns, reusable components, and best practices
Identify and resolve technical blockers through cross-team problem-solving
Provide executive visibility into progress, risks, and resource needs
Promote proven solutions for enterprise-wide adoption and accelerate time-to-production
Requirements:
6+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
6+ years of technology strategic leadership experience
4+ years of management or leadership experience
6+ years in data engineering and cloud-based data architecture at scale
6+ years defining and executing data strategy for Data Lakes and Warehouses
3+ years leading AI/ML and Generative AI initiatives
5+ years delivering real-time data platforms using GCP services (Pub/Sub, Dataflow, BigQuery, Cloud Composer)
5+ years with data mesh architecture, query federation tools (Starburst, Trino), and decentralized governance
6+ years with data contracts, metadata management, and data quality frameworks
4+ years building high-performing data engineering teams and fostering innovation
Nice to have:
Expertise in data modeling, partitioning, and optimization for AI/ML and BI workloads
Strong knowledge of event-driven architectures and real-time analytics use cases