Lead the Future of AI at Scale

Are you ready to transform how AI powers one of the world’s leading financial institutions? Wells Fargo is seeking an AI Enablement Leader—a been there, done it candidate with proven accomplishments who thrives on complexity, influences at scale, and delivers intelligent solutions that matter. This is your chance to drive innovation, shape enterprise data technology strategy, and lead a team building next-generation AI capabilities for the Chief Data Office.

You’ll bring seasoned expertise and comprehensive understanding of data engineering and/or data management with hands-on experience in leveraging new technologies to build innovative solutions. The successful candidate will have a deep expertise in AI Automation, GenAI, Agentic, and Machine Learning solutions, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives.

Why This Role Matters

As our AI Enablement Leader, you’ll be at the forefront of Wells Fargo’s AI evolution—overseeing the planning, development, and deployment of advanced AI solutions that meet rigorous security, risk, and performance standards. You’ll champion modernization and cutting-edge methodologies like retrieval-augmented generation (RAG) and agentic workflows in generative AI applications.

What You’ll Do

• Lead & Inspire: Manage a team of engineers and leads, driving enterprise data priorities and fostering a culture of innovation.
• Shape Strategy: Build actionable roadmaps, influence business and technology leaders, and identify opportunities for continuous improvement both within the Chief Data Office and as an enabler to all lines of business, to support and accelerate their AI strategies
• Deliver Excellence: Ensure software craftsmanship, security, resilience, and scalability across all AI solutions.
• Drive Innovation: Encourage adoption of emerging technologies and best practices for AI model development, deployment, and monitoring.
• Collaborate at Scale: Partner with architects, senior engineers, and external agencies to align with enterprise strategies and regulatory standards.
• Collaborate and consult with executive leadership, stakeholders, project leads, sponsors, and business partners to clarify and define project requirements
• Oversee the end-to-end execution of AI initiatives, from ideation through implementation and scaling, using best practices in project management and change enablement.
• Engage with executive sponsors, business unit leaders, and technology partners to identify high-impact AI opportunities and build consensus for investment and adoption.
• Enforce standards for responsible AI, including model governance, bias mitigation, transparency, and compliance with regulatory requirements.
• Own Risk & Resources: Set risk management guidelines, oversee financial planning, and develop strategies for hiring top engineering talent.
• Build and mentor a high performing team of AI/ML, engineering and data professionals, fostering a culture of Innovation and Excellence.
• Stay at the forefront of AI trends, technologies and best practices and assess their applicability to Chief Data Office. Promote a culture of experimentation, innovation, and scalable adoption of new AI capabilities.
• Managing vendor relationships to align external capabilities with internal goals.
• Deliver AI solutions that drive revenue growth, cost reduction and risk mitigation.
• Establish metrics and measurement frameworks to quantify AI business impact.

What We’re Looking For

Required Qualifications:

• 8+ years of Technology Strategic Leadership experience (or equivalent through work, training, military, or education)
• 8+ years of Data Management and/or Data Engineering experience
• 8+ years of experience in data, analytics, or AI roles, with at least 5 years in leadership positions driving strategic technology initiatives.
• 4+ years of management or leadership experience.

• 8+ years of Business Execution, Implementation, or Strategic Planning experience, including Management or leadership experience, or equivalent experience demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Product Management experience with exposure to AI/automation
• 5+ years of experience working with technology teams to build and launch products in market
• 5+ years of experience owning/driving roadmap strategy and definition
• Full stack technology expertise, including Oracle, MongoDB, Python, Java and React
• Proven track record in developing and executing AI or advanced analytics strategies at the enterprise level.
• Strong understanding of AI/ML technologies, platforms, and their business applications.
• Ability to translate complex technical concepts into business value and actionable plans.

Desired Qualifications:

• 4+ years with agile methodologies
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or related field. Advanced degree preferred
• 4+ years in financial services.
• 7+ years of engineering experience.
• 3+ years in hands-on data innovation.
• 1+ year experience with RAG and agentic workflows in generative AI.

• Experience in building and driving adoption of new tools
• Knowledge of AI/ML technologies, libraries, and tools.
• Familiarity with AI and ML frameworks and capabilities including PyTorch, TensorFlow, MCP, Langchain, Langraph
• Understanding of MLOps practices and performance tuning for AI workloads
• Industry experience in AI/GenAI and Document Intelligence AI from idea generation to implementation
• Experience leading the AI charter for large tech/fintech organizations
• Experience deploying production AI systems at scale in cloud environments.
• Mission-aligned: shares Wells Fargo’s vision of transforming the employee experience through generative AI.
• Demonstrated ability to balance technical excellence with business priorities.
• Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions.
• Strong problem solving and decision-making skills with attention to detail and accuracy
• Ability to work effectively across large, complex organizational levels, where flexibility, collaboration, and adaptability and partnership building are critical
• Demonstrated success in leadership roles, including team building and management.

Why Wells Fargo?

Join a company committed to innovation, security, and excellence. You’ll have the opportunity to influence enterprise-wide AI strategy, work with cutting-edge technologies, and lead a team that’s shaping the future of financial services.

• Impact: Oversee the planning, development, and deployment of AI solutions, ensuring each release meets non-functional requirements, security, and risk standards, and supports application modernization and cloud readiness.

• Impact: Shape AI technology and business requirements and product priorities, champion innovative and intelligent solutions, and promote, track and manage AI solutions.

• Complexity: Engage with architects and senior engineers to assimilate Wells Fargo Technology technical strategies and next-generation AI and domain architecture, supporting seamless migration paths and advancing data strategy initiatives.

• Complexity: Maintain expertise in AI, machine learning, deep learning, and emerging technologies. Encourage adoption of pioneering tools and methodologies, including retrieval-augmented generation (RAG) and agentic workflows in generative AI applications.

• Analysis: Identify and resolve technology barriers, managing the overall software development cycle, build and deployment processes, and security standards, including Enterprise Gen AI processes (Model Risk Management, Data Use, Joint Architecture and Design Reviews, etc.)

• Analysis: Implement best practices for AI model development, deployment, monitoring, and maintenance, and track impact on organizational objectives.

• .
• 4+ years of agile methodologies (Scrum, SAFe, Kanban).
• 4+ years of financial services experience.
• 7+ years of engineering experience, or equivalent as previously described.
• 3+ years of comprehensive understanding of data engineering and/or data management with hands-on experience in leveraging new technologies to build innovative solutions.
• 1+ years’ experience with retrieval-augmented generation (RAG) and agentic workflows in generative AI applications.

Posting End Date:

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

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.