Digital Product Manager

Generative AI Associate Product Manager / Business Analyst

Line of Business: Commercial Banking (RFP Initiative)
Duration: 24 Months (Contract)

Locations

• Preferred: Chandler, AZ
• Secondary: Charlotte, NC; Irving, TX; Minneapolis, MN

About the Role

Wells Fargo is seeking a Generative AI Associate Product Manager / Business Analyst to support a strategic Generative AI initiative within the Commercial Banking Line of Business. This is a hybrid Product + Analytics role combining business analysis, product ownership, and delivery execution.

You will partner closely with Product Managers, Engineering, Data Science, UI/UX, and QA teams to translate complex business and AI capabilities into scalable, high-quality solutions. The role requires strong analytical skills, technical fluency, and hands-on experience driving Agile delivery.

Key Responsibilities

Product Backlog & Delivery Management

• Support the Product Manager in maintaining and prioritizing the product backlog
• Decompose prioritized features into functional and non-functional user stories for Engineering and Data Science teams
• Identify and document all components required to deliver features (UI, backend services, APIs, GenAI models)
• Write clear, concise user stories with defined acceptance criteria and Definition of Done
• Participate in sprint planning, grooming, and backlog refinement sessions
• Provide input on sprint goals, story prioritization, sizing, and sequencing based on team capacity and velocity

Product Execution & Agile Delivery

• Quickly understand feature requirements across technology, data, and GenAI components
• Collaborate with Engineering and Data Science teams to validate solution approaches with consideration for scalability, performance, and extensibility
• Partner with UI/UX teams to design effective and user-centered interfaces
• Identify cross-team dependencies and coordinate delivery sequencing across teams
• Perform Product Owner validation for stories, releases, and launches
• Coordinate with QA teams to ensure adequate testing coverage
• Lead UAT activities, issue tracking, defect prioritization, and resolution

Stakeholder Engagement & Communication

• Facilitate communication among cross-functional stakeholders to remove blockers and resolve dependencies
• Communicate sprint progress, risks, and delivery status
• Document meeting notes, decisions, and action items
• Maintain a centralized repository for project and product artifacts

Data Product Ownership (GenAI Focus)

• Define and document data requirements for Generative AI use cases
• Evaluate and source data across multiple internal systems
• Collaborate with other Product Owners on data integration and platform capabilities
• Perform source-to-target data mapping across systems
• Validate data quality and completeness across data sources
• Create data integration, API, and batch processing user stories
• Define testing criteria for data pipelines and integrations

Minimum Qualifications

• 2-5 years of experience in Product Ownership, Business Analysis, or Technical Analysis
• Strong analytical, organizational, and problem-solving skills
• Experience translating complex requirements into actionable Agile user stories
• Understanding of system architecture, application flow, APIs, and database structures
• Hands-on experience with SQL and NoSQL data stores
• Experience working with JSON, API contracts, and Swagger documentation
• Familiarity with web applications, API development, UI/UX concepts, and application performance
• Experience across the full SDLC, including development, testing, and release
• Proficiency with tools such as JIRA, Figma, and Postman

Preferred Qualifications

• Experience working on AI/ML or Generative AI products , preferably in Financial Services
• Familiarity with large language models (LLMs), prompt engineering, and responsible AI frameworks
• Strong understanding of modern system architecture and technical specifications
• Experience working with Teradata, MongoDB, or other document databases

Additional Information

• This role follows an Agile delivery model
• Collaboration across multiple technology, data, and business teams is critical to success
• Location preference is Chandler, AZ , with flexibility across secondary locations