GenAI Product Management Lead - Global Ops AI COE

Wells Fargo•Charlotte, NC

8d•Hybrid

About The Position

Wells Fargo is seeking a visionary and execution-focused Lead Digital Product Manager to drive the strategy, architecture, and delivery of GenAI and Agentic AI initiatives. This role will lead cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency across the enterprise. In this role, you will: Define and own product strategy: Define and own the product vision, roadmap, and success metrics for Generative Artificial Intelligence (GenAI) and Agentic Artificial Intelligence (Agentic AI) solutions. Lead full product lifecycle: Lead end-to-end delivery of AI-powered products, from ideation through deployment and iteration. Drive cross-functional collaboration: Collaborate with engineering, data science, design, and business stakeholders to ensure alignment and impact. Design autonomous systems: Architect agentic systems that leverage autonomous workflows, memory, planning, and tool use. Integrate advanced AI models: Evaluate and integrate GenAI models (e.g., Large Language Models (LLMs), multimodal models) into enterprise-grade applications. Ensure responsible AI practices: Ensure compliance with governance, security, and ethical AI standards. Promote innovation culture: Champion experimentation, rapid prototyping, and continuous learning. Lead strategic digital initiatives: Lead the development and execution of complex digital business plans, programs and initiatives which have impact across the enterprise with broad impact. Contribute to enterprise planning: Act as key participant in large-scale planning. Analyze digital strategy: Review and analyze complex digital strategy for product/functionality/experience area. Influence business direction: Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors. Make strategic decisions: Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements. Lead digital teams: Lead a broad team of digital professionals to meet deliverables and drive new initiatives. Collaborate across levels: Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals. Mentor and manage projects: Potentially lead projects, teams or serve as a peer mentor.

Requirements

5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Nice To Haves

Product Leadership: 5+ years in digital product management, including 2+ years with GenAI or agentic AI.
Agentic AI: Expertise in autonomous agents, memory, planning, and tool integration.
GenAI Platforms: Hands-on with OpenAI, Anthropic, Vertex AI, and Azure OpenAI.
BPMN: Knowledge of Business Process Model and Notation to visualize business processes, improve efficiency, Aligning Business and IT, Documenting Processes, Supporting Process Automation and Modeling Scenarios and “What-If” Analysis.
Enterprise Delivery: Proven success launching scalable AI in regulated environments.
Stakeholder Management: Strong communicator with cross-functional alignment experience.
Agile Development: Skilled in agile frameworks and end-to-end product lifecycle.
Intelligent Interfaces: Experience with synthetic agents, voice interfaces, or automation tools.
Technical Background: AI/ML, data science, or architecture experience; able to bridge tech and business.
Regulatory Awareness: Knowledge of financial regulations and responsible AI practices.
Education: MBA or MS in Computer Science or related field.
Platform Tools: Familiarity with Google ADK and Microsoft Copilot Studio.
Strategic Vision: Ability to align product strategy with business and AI trends.
Execution: Skilled in risk mitigation, dependency management, and timely delivery.
Innovation: Promotes experimentation and continuous improvement.
Collaboration: Connects technical, business, and compliance teams.
User-Centric Design: Focus on intuitive, engaging client experiences.
Performance Metrics: Uses KPIs for data-driven decisions and optimization.
Team Leadership: Mentors junior PMs and fosters a high-performing team culture.

Responsibilities

Define and own product strategy: Define and own the product vision, roadmap, and success metrics for Generative Artificial Intelligence (GenAI) and Agentic Artificial Intelligence (Agentic AI) solutions.
Lead full product lifecycle: Lead end-to-end delivery of AI-powered products, from ideation through deployment and iteration.
Drive cross-functional collaboration: Collaborate with engineering, data science, design, and business stakeholders to ensure alignment and impact.
Design autonomous systems: Architect agentic systems that leverage autonomous workflows, memory, planning, and tool use.
Integrate advanced AI models: Evaluate and integrate GenAI models (e.g., Large Language Models (LLMs), multimodal models) into enterprise-grade applications.
Ensure responsible AI practices: Ensure compliance with governance, security, and ethical AI standards.
Promote innovation culture: Champion experimentation, rapid prototyping, and continuous learning.
Lead strategic digital initiatives: Lead the development and execution of complex digital business plans, programs and initiatives which have impact across the enterprise with broad impact.
Contribute to enterprise planning: Act as key participant in large-scale planning.
Analyze digital strategy: Review and analyze complex digital strategy for product/functionality/experience area.
Influence business direction: Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Make strategic decisions: Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements.
Lead digital teams: Lead a broad team of digital professionals to meet deliverables and drive new initiatives.
Collaborate across levels: Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals.
Mentor and manage projects: Potentially lead projects, teams or serve as a peer mentor.