GenAI Product Manager

Job Summary

Wells Fargo is a global leader in financial services committed to innovation and community empowerment. They are seeking a GenAI Product Manager to drive GenAI products and programs within the Chief Operating Office, leading teams and collaborating with stakeholders to enhance digital strategy and develop AI capabilities.

Responsibilities

• Drive GenAI products and programs across Chief Operating Office
• Lead Agentic AI solutions across Chief Operating Office
• Manage and develop teams of digital professionals, supporting the development and execution of digital strategy within a business line or functional area
• Engage and influence stakeholders, internal partners and peers associated with the function or affected by its outcomes
• Identify and recommend opportunities for programs and initiatives with impact across the business line and may have impact beyond the business line
• Determine appropriate strategy and actions of the team to meet moderate to high risk deliverables
• Interpret and develop policies and procedures for functions with moderate complexity within scope of responsibility
• Collaborate with and influence all levels of professionals, including senior managers
• Interact directly with external customers
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in aligned department or business group
• Develop and guide a culture of talent development to meet business objectives and strategy

Qualifications

Required

• 6+ years of digital product management or leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience

Preferred

• 6+ years experience in Product Management, including 2+ years in AI/ML and GenAI.
• Experience leading GenAI and Agentic AI product development in Fintech or financial institutions.
• Strong knowledge of LLMs, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and cloud-native architectures.
• Proficient with Azure, AWS, GCP (including Vertex AI and ADK Framework).
• Skilled in AI/ML lifecycle and building compliant, scalable frameworks.
• Familiar with AI governance and model risk management.
• Understanding of financial services operations, compliance, and regulatory frameworks.
• Proven success in AI product strategy and innovation at enterprise scale.
• Ability to communicate AI value to executive leadership.
• Experience managing product roadmaps and evaluating AI vendors.
• Strong leadership and change management in matrixed environments.
• Effective cross-functional collaboration to deliver secure, scalable AI solutions.
• Excellent communication and interpersonal skills, both written and verbal.