Technical Director of Automation and AI Operations & Integration

Wells Fargo•Charlotte, NC

About The Position

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.

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 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

Nice To Haves

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 and executing multi‑year platform or automation roadmaps.
Strong communication and influence skills with senior technical and business leaders.
Demonstrated ability to translate enterprise reliability, risk, and compliance requirements into scalable technical solutions.
Experience with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus
Ability to develop and execute business vision, strategies, and goals
Ability to research and self-study to keep technical skills relevant in a highly complex environment
Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture
Experience with Agile, Continuous Integration/Continuous Delivery/Deployment (CI/CD), DevOps concepts, and Site Reliability Engineering principles
Knowledge and understanding of complex enterprise systems and frameworks including frontends, middleware, services layer, database, backend, and downstream interfaces

Responsibilities

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.
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.
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.
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.
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.