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BEC5 (Commercial Credit Execution)

Mindlance

CHANDLER, Charlotte or Chicago, AZ

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JOB DETAILS
SKILLS
Acceptance Testing, Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Atlassian JIRA, Backlog Prioritization, Banking Services, Bug Tracking/Defect Management, Business Analysis, Commercial Banking, Commercial Loans, Consulting, Credit Analysis, Credit Processing, Credit Risk, Cross-Functional, Customer/Client Research, Data Analysis, Data Science, Data Sets, Delivery Driving, Develop Methodologies, Documentation, Financial Analysis, Investment Management, Loan Operations, Loan Origination, Loans, Mail Services, Operational Support, Organizational Skills, Process Improvement, Product Management, Product Support, Quality Assurance, Relationship Management, Requirements Management, Risk, Risk Analysis, Risk Management, Sales Management, Software Development Lifecycle (SDLC), Sprint Planning, Underwriting, User Interface/Experience (UI/UX)
LOCATION
CHANDLER, Charlotte or Chicago, AZ
POSTED
30+ days ago
Credit Execution
Wells Fargo is seeking a Business Execution Consultant to support a Generative AI (GenAI) initiative within Commercial Banking. This hybrid role combines product management and business analysis to deliver AI-enabled solutions that enhance commercial lending, underwriting, portfolio management, and credit decisioning processes.

The ideal candidate will partner with business stakeholders, product teams, technology, and data science teams to translate business needs into scalable product capabilities. Strong experience in Commercial Banking, Commercial Credit, Underwriting, Credit Risk, or Portfolio Management is required, along with the ability to understand and analyze complex credit, customer, and operational data.

Success in this role requires product ownership and the ability to drive execution across cross-functional teams. Candidates should be comfortable translating credit and business requirements into user stories and delivering solutions that improve business outcomes through GenAI and advanced analytics.

Key Responsibilities
Product Management & Delivery
  • Support backlog management, prioritization, and sprint planning activities.
  • Translate business, credit, and data requirements into user stories and acceptance criteria.
  • Break down features into actionable work across technology, data, analytics, and UX teams.
  • Partner with engineering, data engineering, analytics, and data science teams to deliver scalable solutions.
  • Identify and manage risks, dependencies, and delivery challenges.
  • Coordinate testing, UAT, release validation, and defect management.
  • Support solution design decisions by evaluating data, business, and technical considerations.
Data Analysis & Requirements
  • Analyze commercial credit, customer/profile, and operational data to support product decisions.
  • Document business rules, data relationships, and system dependencies.
  • Define data and testing requirements for APIs, integrations, and GenAI use cases.
Stakeholder Management
  • Collaborate with Credit, Underwriting, Lending Operations, Risk, Product, Technology, and Data teams.
  • Facilitate discussions, document decisions, and communicate progress, risks, and dependencies.
  • Maintain project documentation, requirements, data mappings, and delivery artifacts.
  • Act as a liaison between business and technology teams to ensure alignment and execution.

Required Qualifications
  • Experience in Product Management, Business Analysis, or related disciplines.
  • Strong experience supporting Commercial Banking, Commercial Lending, Credit Risk, Underwriting, Portfolio Management, Loan Origination, or related credit functions.
  • Strong understanding of commercial credit workflows, underwriting processes, borrower financial analysis, risk assessment, credit approval processes, and portfolio monitoring.
  • Experience translating business, credit, and technical requirements into user stories and actionable solutions.
  • Experience working with commercial credit data, customer/profile data, relationship hierarchies, and other complex enterprise datasets.
  • Experience working with technology, data engineering, analytics, data science, QA, UX, and business stakeholders.
  • Experience with Agile delivery methodologies and software development lifecycle activities.
  • Strong analytical, organizational, and stakeholder management skills.

Technical Skills
  • JIRA, Postman, and Figma
  • Agile delivery practices

Preferred Qualifications
  • 3+ years supporting Commercial Credit, Commercial Lending, Underwriting, Credit Risk, or Portfolio Management initiatives.
  • Experience with financial statement analysis, covenant monitoring, risk ratings, borrower relationship management, or credit approval processes.

Ideal Candidate
A highly analytical and execution-focused professional who can bridge business, product, data, and technology teams. The ideal candidate brings a strong foundation in Commercial Banking and Credit, is comfortable translating lending and underwriting requirements into product solutions, and driving delivery of complex GenAI initiatives.
This individual can connect business goals, credit outcomes, user experience, and underlying data while successfully managing cross-functional delivery in a fast-paced environment.



EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

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Mindlance