Senior Lead AI Transformation/Product Strategy Leader - ECRL AI Workflow

About the role

Wells Fargo is seeking a Senior Lead AI Transformation/Product Strategy Leader for the Product Management and Delivery (PMD) team. This role plays an integral part in having an enterprise view of our customer concerns, identifying risks in a timely manner, providing enhanced reporting capabilities at the line of business and Enterprise levels, and delivering a variety of benefits to Wells Fargo Business.

Responsibilities

• 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.
• 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.
• Consult with Enterprise Architects to ensure integration across domains.
• Identify risk through these transformations and evaluate and install appropriate control mechanisms to minimize risk.
• Perceive 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.
• Work closely with business lines and leadership across Wells Fargo in the execution of this strategy.

Requirements

• 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 delivering 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.

Qualifications

Required Qualifications:

• 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 delivering 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.

Skills

Preferred Qualifications:

• 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 delivering 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.