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Technical Director of Automation and AI Operations & Integration

Wells Fargo
United Statesfull_timeVerifiedPosted 11 May 2026
💰 $355,000/yr($215,000/yr$355,000/yr)

About the role

About this role:

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management. This combined portfolio of applications and tools are continually engineered to meet the challenges of stability, security, scalability, and speed.

 

The Technical Director of Automation and AI Operations & Integration is a senior technical leadership role responsible for enterprise‑scale automation engineering, AI‑driven operations (AIOps), operational insights and data activation platforms, and platform integration build capabilities across EFT Platform Management. This role provides single‑threaded technical ownership for highly interconnected horizontal platform capabilities that underpin platform reliability, automation at scale, data‑driven operations, AI‑enabled decisioning, and integration delivery across all EFT platforms and product teams. In addition, this role owns the strategy and roadmap for AI‑driven Operations and Automation, ensuring capabilities are scalable, governed, and aligned to enterprise reliability, risk, security, and compliance objectives.

 

The scope of the role spans shared enterprise platforms rather than a single application or domain and requires deep technical expertise, architectural judgment, and enterprise‑level decision authority.


In this role, you will:

Enterprise Technical Ownership

  • Provide end‑to‑end, single‑threaded technical ownership across Custom Solutions & Automation Engineering, AI Operations (AIOps) and intelligent automation, Operations Insights and Data Activation platforms and Platform Integration Build capabilities
  • Serve as the accountable technical leader ensuring architectural integrity, scalability, and reliability across these platforms.

AI Operations & Automation Strategy

  • Define, own, and execute the AI Operations and Automation strategy and multi‑year roadmap.
  • Ensure AI‑enabled capabilities support proactive operations, predictive insights, automated remediation, and self‑healing behaviors.
  • Establish AI governance standards to ensure compliant, explainable, and reliable production use.

Architecture & Platform Standards

  • Drive architectural consistency, tooling standardization, and solution reuse across automation, AI, data, and integration platforms.
  • Ensure platform designs align to enterprise architecture principles and long‑term reliability objectives.
  • Balance run‑the‑platform stability with build‑the‑future innovation.

Reliability, Risk, Security & Compliance

  • Translate enterprise reliability, operational resilience, risk, security, and compliance requirements into executable engineering standards.
  • Ensure automation and AI platforms are resilient, auditable, and production‑ready in regulated environments.
  • Partner with risk, security, and compliance stakeholders to proactively manage control expectations.

Cross‑Functional Engineering Leadership

  • Lead coordination across engineering, Site Reliability Engineering (SRE), operations, data, and partner teams.
  • Provide technical direction across highly interdependent initiatives to prevent fragmentation, duplication, and tool‑centric execution.


Required Qualifications:

  • 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 experience with platform and distributed systems architecture, automation frameworks and orchestration, and AI enabled operational capabilities (AIOps, intelligent monitoring, predictive insights)
  • 3+ years of designing and building complex observability solutions leveraging industry standard toolset and/or custom built solutions

Desired Qualifications:

  • Experience designing or operating AI‑enabled operations platforms in financial services or other highly regulated industries.
  • Deep familiarity with Site Reliability Engineering (SRE) practices.
  • Experience defining

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Company

Wells Fargo

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