AI Enablement Senior Lead

Wells Fargo•Concord, CA

1d•$185,000 - $300,000•Hybrid

About The Position

Wells Fargo is seeking an AI Enablement Senior Lead (Senior Lead Artificial Intelligence Solutions Consultant) for its AI Enablement team. The role turns high-value AI opportunities into measurable results across Legal, Public Affairs, and Internal Audit, partnering with the AI Business Leader to prioritize opportunities and deliver AI-enabled workflows that improve how work gets done. The Senior Lead aligns business, Enterprise AI, Technology, Risk, Compliance, and other partners to move use cases from idea to production quickly and responsibly. This hands-on role drives AI solutions from idea through adoption by removing barriers, redesigning work, and embedding AI into everyday workflows. Success is measured through adoption and demonstrated improvements in productivity, cycle time, hours saved, and business value. The position offers a hybrid work schedule. It is not eligible for visa sponsorship, and relocation assistance is not available.

Requirements

7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education.
4+ years of demonstrated ability to turn business strategy into an executable roadmap, a prioritized use-case pipeline, clear delivery plans, and measurable results.
4+ years of experience building business cases and financial or cost models, estimating investment and benefits, and partnering with Finance to track budgets, operating costs, savings, cost avoidance, and return on investment.
4+ years of proven ability to align senior leaders and cross-functional partners, make progress without direct authority, resolve competing priorities, and drive work through execution.
4+ years of experience driving user adoption and lasting change through training, manager enablement, and hands-on problem solving.
4+ years of experience communicating clearly and directly with senior leaders, including explaining risk, decisions, and results in plain language.

Nice To Haves

Hands-on experience building and testing generative AI and AI-agent prototypes, from prompt and workflow design through evaluation.
Proven track record of moving AI or automation use cases into production and delivering measurable time or cost savings.
Experience getting work done in Legal, Audit, Communications, or other control functions within a regulated environment.
Product management experience, including backlog ownership, rapid iteration, decision-making, and post-launch measurement.

Responsibilities

Own and support prioritization of the AI use-case pipeline based on value, effort, and trade-offs.
Identify high-value AI use cases by working directly with Legal, Public Affairs, and Internal Audit teams to uncover high-ROI opportunities and target priority workflows.
Build solutions quickly, test them with users, and move proven solutions to production in partnership with Technology and Enterprise AI.
Redesign workflows end to end, including agentic workflows, with clear autonomy limits, evaluation standards, monitoring, and human review where appropriate.
Drive lasting adoption by equipping users and managers, activating AI Champions, and quickly resolving friction.
Onboard use cases on the AI Risk Review process, embed controls, complete required validation, and maintain AI safety in production.
Measure adoption, efficiency, savings, and return on investment, and act quickly when results fall short.
Build workforce readiness through focused learning, employee engagement, manager enablement, champion networks, communications, and workflow integration.
Scale proven solutions through reusable patterns that improve productivity, quality, financial value, and risk outcomes.