Wells Fargo

AI Enterprise Enablement Leader

Wells Fargo • $130K — $180K *
Irving, TX 75061In-Person
Enterprise Technology
8 - 10 years of experience
Yesterday
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Job Overview by Ladders

Qualifications

  • 10+ years of strategic leadership experience in technology or equivalent
  • 4+ years of management or leadership experience
  • 7+ years of engineering experience
  • 7+ years of cross-functional collaboration and stakeholder management
  • 4+ years in highly regulated industries, particularly financial services
  • 3+ years in data engineering and/or management with hands-on delivery
  • 1+ year of experience with generative AI, including RAG and agentic workflows.

Responsibilities

  • Define and execute the CDO AI strategy to enhance data source usage
  • Create and execute a clear AI strategy for reusable components across data organizations
  • Establish operational models for centralized AI capabilities to drive innovation
  • Lead initiatives promoting AI adoption and data-driven decision-making
  • Oversee the lifecycle of AI solutions from planning to deployment
  • Implement advanced AI techniques including generative AI and retrieval-augmented generation
  • Ensure compliance with security and risk standards in AI solutions.

Benefits

  • Collaborative work environment
  • Professional development opportunities
  • Mentorship from experienced leaders
  • The chance to drive innovation in AI and data solutions
  • Engagement with cutting-edge technologies and practices.
Full Job Description
About this role:

Wells Fargo is seeking a strategic and visionary leader to drive enterprise strategy and architecture for AI enablement, metadata management, semantic layer capabilities, and the enterprise information marketplace. This role will sit within the Chief Data Office (CDO) and is responsible for mobilizing and delivering priority initiatives.

This leader will play a critical role in defining and executing AI-enabled data strategies while aligning cross-functional stakeholders across Data Governance, Technology Tooling, Cyber (SecAI migration), Privacy, and delivery teams. The role requires a blend of deep technical expertise, strategic leadership, and execution discipline to deliver scalable, secure, and innovative AI solutions in a highly regulated financial services environment.

In this role, you will:

Strategy & Leadership
  • Define and execute the CDO AI strategy for engaging with enterprise AI teams to increase adoption and usage of approved data sources
  • Partner with CDO leaders and Data Domains to create and execute a clear AI strategy and delivery of reusable AI components to accelerate the work of data organizations across the enterprise, ensuring alignment with enterprise priorities and business outcomes.
  • Establish and operationalize a hub-and-spoke model for AI enablement, where centralized capabilities (hub) support scalable, domain-driven innovation (spokes).
  • Act as a visionary leader to position the organization at the forefront of agentic AI and next-generation data capabilities.
  • Lead organizational transformation initiatives promoting AI adoption and data-driven decision-making.
  • Drive consistency in AI architecture, tooling, and governance while enabling flexibility for domain-specific use cases and innovation.
  • Identify cross-domain opportunities to accelerate reuse of data, models, and AI solutions through shared platforms and capabilities.


AI & Technology Delivery
  • Oversee the end-to-end lifecycle of AI solutions, including planning, development, deployment, and continuous improvement.
  • Develop multi-step workflows using LangChain and LangGraph (chains, tools, retries, error handling).
  • Implement prompts, tool integrations, memory patterns, and basic observability (logging, tracing, guardrails).
  • Build ingestion pipelines (parsing, chunking, embeddings, metadata tagging).
  • Implement retrieval strategies (dense, hybrid, reranking) and manage vector databases (Pinecone, Weaviate, FAISS).
  • Support domain adaptation via schema mapping and structured data integration.
  • Ensure all AI solutions meet enterprise standards for security, risk, compliance, and non-functional requirements.
  • Champion innovative AI practices including generative AI, retrieval-augmented generation (RAG), and agentic workflows.
  • Ensure solutions support application modernization, cloud readiness, and enterprise scalability.


Architecture & Engineering
  • Collaborate with enterprise architects and senior engineers to align with broader technology strategies and domain architectures.
  • Develop and deploy services using Vertex AI (or equivalent), including endpoints and pipelines.
  • Support containerization (Docker), Kubernetes deployment, and CI/CD workflows.
  • Build backend APIs (Python/Node.js) and support frontend components (React/Next.js).
  • Implement authentication, authorization, and API management controls.
  • Drive seamless migration paths to next-generation AI and data platforms.
  • Maintain deep expertise in AI/ML, deep learning, and emerging technologies to guide architectural decisions.
  • Establish and enforce best practices for AI model development, deployment, monitoring, and lifecycle management.


Execution & Delivery
  • Lead and manage complex, cross-functional AI initiatives from ideation through execution and production deployment.
  • Implement GenAI evaluation pipelines (relevance, latency, cost, accuracy).
  • Use evaluation tools (RAGAS, G-Eval) and monitor model performance for improvements.
  • Identify and resolve technology and operational barriers across the software development lifecycle.
  • Govern AI delivery processes including model risk management, data usage controls, and architecture/design reviews.
  • Track and measure business impact and ensure delivery of tangible outcomes aligned with enterprise objectives.


Stakeholder Management & Collaboration
  • Influence and partner with CDO executive leadership, enterprise AI teams, and broader technology organizations.
  • Collaborate with external vendors and service providers to ensure solution quality and strategic alignment.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Partner with product, data, and platform teams to deliver AI features.
  • Promote engineering best practices and adoption of emerging GenAI tools and frameworks.
  • Build strong partnerships with Data Domain leaders to understand domain-specific needs and translate them into scalable AI and data solutions.
  • Act as a central point of coordination between the CDO, domain teams, and enterprise AI partners to ensure cohesive execution of AI initiatives.
  • Enable and guide domains in adopting enterprise AI capabilities, including metadata, semantic layer, and information marketplace services.
  • Facilitate collaboration across domains to promote reuse, reduce duplication, and drive standardization of AI and data practices.
  • Support domains in prioritizing AI use cases, ensuring alignment with governance, risk, and enterprise architecture standards.


People Leadership
  • Build, lead, and mentor a high-performing AI and data engineering team.
  • Drive recruitment, training, and professional development initiatives.
  • Foster a culture of innovation, accountability, and continuous learning.


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
  • 7+ years of engineering experience.
  • 7+ years of stakeholder management and cross-functional collaboration.
  • 4+ years working with Agile methodologies (Scrum, SAFe, Kanban).
  • 4+ years of experience in financial services or highly regulated industries.
  • 3+ years of experience in data engineering and/or data management with hands-on solution delivery.
  • 1+ year of experience with generative AI, including retrieval-augmented generation (RAG) and agentic workflows.


Desired Qualifications:
  • Deep expertise in modern AI architectures, machine learning, and generative AI technologies.
  • Experience with LangChain and exposure to LangGraph or similar orchestration frameworks.
  • Experience building RAG pipelines and working with vector databases.
  • Familiarity with cloud platforms (Vertex AI preferred) and modern backend/frontend stacks.
  • Experience with Docker, Kubernetes, CI/CD, and GenAI evaluation/observability.
  • Knowledge of API security, PII handling, and secrets management.
  • Strong understanding of enterprise data management, metadata systems, and semantic architectures.
  • Proven ability to design and implement AI systems leveraging large language models (LLMs) with a focus on safety, accuracy, and usability.
  • Exceptional strategic thinking with the ability to integrate AI innovation into enterprise architecture.
  • Strong leadership and decision-making skills with experience driving large-scale initiatives.
  • Excellent communication skills with the ability to influence executive stakeholders.
  • Demonstrated ability to manage risk, compliance, and ethical considerations in AI deployments.
  • Experience with enterprise AI governance frameworks (Model Risk Management, data policies, review processes).
  • Results-driven mindset with a focus on measurable business outcomes.


Job Expectations:
  • Ability to work at a designated Wells Fargo location in accordance with the enterprise hybrid work model.
  • Willingness to travel up to 10-15% as needed to collaborate with cross-functional teams and stakeholders.


Posting End Date:

5 Jun 2026
*Job posting may come down early due to volume of applicants.

About Wells Fargo

Wells Fargo Careers

Joining Wells Fargo means becoming part of a distinguished financial institution that has been a cornerstone of innovation and leadership in the banking industry. At Wells Fargo, we offer a plethora of job opportunities designed to empower your career growth and development in a diverse and inclusive environment.

Work You’ll Do

At Wells Fargo, you will be part of a team that values diversity and is committed to fostering an inclusive culture. We are looking for professionals who are eager to drive innovation and lead with integrity. Our employees are our greatest asset, and we invest in their professional growth through comprehensive leadership and diversity training programs that are recognized industry-wide.

Explore a Multitude of Career Paths

Whether you're interested in a position in finance, IT, customer service, or management, Wells Fargo has career opportunities in various fields. Our team members benefit from job stability, competitive benefits, and a culture that values and rewards performance and dedication.

Internship Programs

Kickstart your career with a Wells Fargo internship. Our programs provide invaluable industry exposure, professional skills development, and networking opportunities that often lead to full-time employment offers. Interns at Wells Fargo work on real projects, solve actual challenges, and gain the mentorship of seasoned professionals.

Professional Growth and Development

We believe in nurturing the potential of our employees. Wells Fargo offers robust training programs and resources to help every team member excel in their current roles and prepare for future challenges. Growth at Wells Fargo is not just about climbing the career ladder but expanding your skills and expertise to add value to our team and customers.

Benefits and Rewards

Wells Fargo is committed to the well-being of our team members. We offer a comprehensive benefits package that includes health care, retirement plans, and generous paid time off. Additionally, we provide unique perks like employee discounts, adoption assistance, and tuition reimbursement.

Join Our Team

Discover the opportunities waiting for you at Wells Fargo by exploring open positions that match your skills and interests. We are continuously hiring and looking for individuals who bring creativity, passion, and a drive to serve our customers.

Stay Connected

Keep up to date with the latest from Wells Fargo Careers by subscribing to our job alert emails. Tailor your subscription to receive updates that align with your career preferences and get insider tips on crafting the perfect resume and acing your interview.

Networking and Innovation

At Wells Fargo, networking and innovation go hand in hand. We encourage our employees to connect across departments and roles to foster new ideas and strategies that lead to groundbreaking solutions.

Empower Your Career

Step into a role at Wells Fargo where your skills will be honed, your achievements recognized, and your career can flourish. We're not just filling positions; we're building leaders who are equipped to navigate the complexities of the financial world. Join Wells Fargo today and be part of a team that’s redefining the future of banking.
Learn more about Wells Fargo
Size
246,577 employees
Market Cap
$155.2 billion
Industry
Finance & Insurance
Net Income
$3.3 billion
Founded
1852
5 Year Trend
-5.9%
NASDAQ
WFC
* Ladders Estimates

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