Generative AI Associate Product Manager/Business Analyst

Title: Generative AI Associate Product Manager/ Business Analyst

Locations: 550 S Tryon Charlotte or 2700 S Price Chandler AZ

Duration: 12 months

Work Engagement: W2

Work Schedule: 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Digital Product Management. Review and analyze complex multi-faceted, larger scale, or longer-term Digital Product Management challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Wells Fargo is seeking a dynamic and forward-thinking Generative AI Associate Product Manager/ Business Analyst to support a GEN AI Initiative within the Commercial Banking LOB. This hybrid role blends analytical depth of a Business/Data Analyst, the strategic thinking of a Product Manager, and the executional rigor of a Product Owner.

Key Responsibilities:

• Backlog Management

• Assist product manager in maintaining the product backlog, prioritizing backlog with guidance from Product Manager

• Breakdown prioritized features into functional and nonfunctional user stories for technology, and Data science teams

• Identify all components required (UI, Backend, Gen AI) to implement a feature

• Craft clear concise and actionable user stories for UI, Backend, API, Gen AI with defined acceptance criteria and Definition of Done

• Product execution and delivery

  • Understand Feature details quickly grasp context, breakdown into user stories

  • Groom user stories with Development team and ensure Development team has clear understanding of the acceptance criteria

  • Understand team’s capacity/velocity and story sizing

  • Participate in Sprint Planning meetings, provide input on user stories that must be prioritized by technology team and provide input in defining sprint goals

  • Partner with UI/UX team to design UI/UX considering all key aspects of UI development

  • Identify dependencies across multiple teams and work with teams to prioritize stories with all dependent teams

  • Provide input to help Development and Data science teams finalize solution approach for user stories considering aspects like scalability, extensibility, performance etc.

  • Complete PO validation of user stories/release/launch

  • Coordinate with QA to ensure coverage of critical scenarios

  • Drive UAT testing, reporting, defect management and prioritization for tech teams

• Stakeholder Engagement

  • Facilitate communication between stakeholders as needed to remove impediments, communicate progress of sprint, highlight risks, issues dependencies etc

  • Documenting meeting notes and action items from cross functional meetings

  • Maintain centralized document repository for Project artifacts that can be accessed by all key stakeholders

• Data

  • Understand data requirements for Gen AI and explore different sources of data based on data requirements

  • Collaborate with multiple POs to understand the data and integration capabilities

  • Create Data mapping (source to target) for data between 2 or more systems

  • Validate the data in different sources to ensure quality

  • Create Data integration stories, API testing, Batch data testing

  • Create user stories for integration, testing criteria

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

• Detail oriented and highly organized

• Understanding of system flow, architecture design, API, DB construct

• Ability to translate complex features into user stories

• Strong analytical and business skills

• Experience in software development, business analysis, data analysis, software testing cycle.

• Strong experience in deep diving into data, good understanding of Teradata, Mongo db (document db)

• At least 2-5 years’ experience with SQL/ No SQL queries

• Experience understanding json, API swagger

• Good understanding of web application, API development, Application performance, UI/UX development

• Experience using JIRA, Figma, Postman

  Preferred Qualifications:

  • Prior experience working on AI/ML products in a Financial Services industry.

  • Familiarity with LLMs, prompt engineering, and responsible AI frameworks.

  • Understanding of System architecture, technical specifications etc