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Wells Fargo Logo Wells Fargo · IT - Software Development

Technical Director

United States, Irving Employment contract 215000.00 - 355000.00 USD / Year · Job Posted May 28, 2026
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Job Description

Wells Fargo is seeking a Technical Director to lead the development and delivery of a centralized, governed data and intelligence platform that unifies operational, behavioral, and procedural data across the bank into a single, analytics- and AI-ready ecosystem. This platform is the enterprise foundation for process visibility, optimization, risk management, and AI enablement, including the state, orchestration, observability, and governance capabilities required for production AI workflows.

Job Responsibility

  • Define the multi-year technical strategy for the process intelligence data platform
  • Lead the design and build of a scalable, multi-layered data architecture encompassing storage, semantic and relationship modeling, and AI-ready data layers on cloud infrastructure
  • Design and deliver enterprise data lineage capabilities
  • Define and deliver governed data serving APIs
  • Define and deliver reusable platform services for state management, task orchestration, checkpointing, event logging, tool invocation traces, replay, evaluation datasets, and human-in-the-loop controls
  • Drive the technical integration of diverse operational data domains
  • Recruit, develop, and lead a team of data engineers, knowledge graph engineers, ML engineers, and platform engineers
  • Collaborate with Process Intelligence leadership, Risk, Compliance, Operations, and AI Governance stakeholders
  • Establish data governance frameworks
  • Drive cloud-native architecture decisions on GCP
  • Ensure the platform provides high-quality, contextualized data

Requirements

  • 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of management or leadership experience
  • 3+ years of hands-on architecture or leadership experience with cloud data platforms (GCP preferred)
  • Experience designing platform services for AI workflow orchestration, state management, observability, evaluation, or controlled human review
  • Experience with vector databases, embedding pipelines, and AI-ready data infrastructure
  • Familiarity with AI agent observability, AI governance, and responsible AI frameworks
  • Demonstrated experience building or leading the build of knowledge graphs, graph databases, or semantic data layers at enterprise scale
  • Experience designing entity extraction and NLP/LLM-powered data enrichment pipelines
  • Experience building data lineage systems, automated data catalog generation, and governed data serving APIs
  • Strong understanding of data governance, data quality, and enterprise data product frameworks in regulated industries
  • Track record of delivering complex, multi-team data platform programs in large enterprises
  • Experience with process mining, process intelligence, or operational analytics platforms
  • Expertise in graph database technologies, ontology design, and semantic modeling
  • Experience designing and operating data catalog platforms and metadata management systems
  • Experience building API-first data platforms with well-governed data serving layers
  • Experience building data platforms that serve both analytics and AI/ML workloads
  • Background in financial services, operations, risk management, or compliance domains
  • Experience with streaming architectures for real-time data integration
  • Strong executive communication skills
  • experience presenting to SVP+ audiences
  • MBA or advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Engineering, or related field

Nice to have

  • Experience designing platform services for AI workflow orchestration, state management, observability, evaluation, or controlled human review
  • Experience with vector databases, embedding pipelines, and AI-ready data infrastructure
  • Familiarity with AI agent observability, AI governance, and responsible AI frameworks
  • Demonstrated experience building or leading the build of knowledge graphs, graph databases, or semantic data layers at enterprise scale
  • Experience designing entity extraction and NLP/LLM-powered data enrichment pipelines
  • Experience building data lineage systems, automated data catalog generation, and governed data serving APIs
  • Strong understanding of data governance, data quality, and enterprise data product frameworks in regulated industries
  • Track record of delivering complex, multi-team data platform programs in large enterprises
  • Experience with process mining, process intelligence, or operational analytics platforms
  • Expertise in graph database technologies, ontology design, and semantic modeling
  • Experience designing and operating data catalog platforms and metadata management systems
  • Experience building API-first data platforms with well-governed data serving layers
  • Experience building data platforms that serve both analytics and AI/ML workloads
  • Background in financial services, operations, risk management, or compliance domains
  • Experience with streaming architectures for real-time data integration
  • Strong executive communication skills
  • experience presenting to SVP+ audiences
  • MBA or advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Engineering, or related field

What we offer

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
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