Senior Lead AI Transformation, Product Strategy

Wells Fargo

Senior Lead AI Transformation/Product Strategy Leader at Wells Fargo responsible for product strategy and AI solutions delivery. Collaborating with cross-functional teams to drive operational and customer outcomes.

Posted 7/15/2026full-timeArizona, Iowa, North Carolina, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI product strategy and delivery, with a strong focus on human-AI interaction models, governance, and risk management in regulated environments. Proven ability to collaborate across teams to drive enterprise-scale AI solutions that deliver measurable business outcomes.

Highest-signal resume keywords

Product ManagementGenerative AI ProductsAI Operating ModelsUX Design for AI SolutionsCross-Functional Collaboration

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Applicant Tracking System Keywords

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Hard Skills

AI Product DevelopmentAgile Product OwnershipAI Lifecycle FrameworksGovernance and Risk ControlsBusiness Architecture PracticesAI/ML ArchitecturesDesign ThinkingSDLC/MDLC StandardsChange DeliveryStrategic Planning

Soft Skills

Critical ThinkingInfluencing Senior LeadershipCollaborationCommunicationProblem Solving

Tools & Technologies

AI SolutionsDecision-Support ToolsHuman-in-the-Loop WorkflowsModel Risk ManagementEnterprise Architecture

Industry Keywords

Regulatory RequirementsOperational GoalsCustomer OutcomesAI Transformation InitiativesEnterprise Controls

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Lead the product strategy, roadmap, and delivery of AI-enabled solutions, translating complex business challenges into scalable products that drive measurable operational and customer outcomes.
Define and optimize human-AI interaction models, including conversational experiences, prompt strategies, decision-support tools, and human-in-the-loop workflows that improve adoption, trust, and productivity.
Partner closely with Engineering, Data Science, Operations, and Risk/Governance teams to prioritize opportunities, define requirements, and deliver AI products from concept through deployment and continuous optimization.
Own product discovery and solution design by translating business needs into AI use cases, product requirements, user stories, success metrics, and implementation plans aligned to enterprise objectives.
Balance innovation with governance by ensuring AI solutions adhere to enterprise controls, regulatory requirements, risk frameworks, and responsible AI principles within a highly regulated environment.
Establish scalable product frameworks, reusable AI patterns, and best practices that accelerate AI transformation initiatives, modernize workflows, and unlock sustainable business value across the organization.
Partner with oversight and governance contacts within ECRL as well as enterprise teams such as the COO Gen AI COE and Model Risk Management (MRM) on design validation, AI use case development, and model ownership.
Serve as the user experience design lead on AI solutions, leaning on design thinking to establish fit for purpose delivery of technology solutions tied directly to operational goals.
Partner with the product delivery team to ensure intent of design is maintained through delivery, testing is completed, and software development lifecycle (SDLC) and model development lifecycle (MDLC) requirements are met.
Develop an integrated view of customer experiences across the Enterprise, ensuring interdependencies across organizations and functions are understood and map business capabilities to the business systems managed by IT to identify and resolve inconsistencies, duplications or gaps.
Acts as a liaison between client area and technical organization by planning, conducting, and directing the analysis of current state and future state design.
Conduct people, process, data, logic/ calculation and systems deep dive current state assessments to ensure all redundancies, deficiencies, failure points and constraints are understood and addressed.
Recommend solutions from a people, process, business intelligence and technology perspective to standardize, streamline, and install appropriate control mechanisms for enhanced business performance, customer excellence, productivity, improved quality, etc.
Conduct change impact analysis and develop capability gap closure roadmaps including short- and long-term implementation recommendations.
Ensure target state alignment between the business model, operating model, organizational structure and IT solutions and capabilities.
Consults with Enterprise Architects to ensure integration across domains.
Identify risk through these transformations and evaluate and install appropriate control mechanisms to minimize risk.
Perceives the impact and implications of decisions on other components of the company as well as impact on investors, customers and clients.
Be an active voice to recommend solutions that will exploit opportunities and address critical deficiencies. Will also work closely with business lines and leadership across Wells Fargo in the execution of this strategy.

Requirements

What you’ll need

7+ years of Product Management, product development, strategic planning, process management, change delivery, or agile product owner experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proven experience leading enterprise-scale Generative AI and Agentic AI products, including autonomous workflows, reasoning systems, and tool-integrated agents with measurable business outcomes.
Demonstrated ability to design and implement AI operating models, including lifecycle frameworks, governance, and risk controls within highly regulated environments.
Experience collaborating with governance and enterprise stakeholders (e.g., MRM, AI CoEs) to support AI solution validation, use case development, and model ownership.
Experience leading UX design for AI-driven solutions using design thinking to align with and advance operational goals.
Experience partnering with product and engineering teams to maintain design integrity, oversee testing, and ensure adherence to SDLC/MDLC standards.
Deep understanding of modern AI/ML architectures (LLMs, RAG, agent frameworks) combined with the ability to influence senior leadership and drive enterprise-wide adoption.
Experience applying structured business architecture practices to capture enterprise perspectives, guide strategy translation, and define high-level solution design.
Experience with setting business architecture direction and delivers strategic insights to design capabilities, processes, and operating models while simplifying complex environments.
Experience with driving results through cross-functional collaboration, critical thinking, and executive-level insights to enable effective strategy execution and long-term outcomes.

Benefits

Comp & perks

robust benefits
competitive compensation
programs designed to help you find work-life balance and well-being