Title: AI Business Analyst
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2 Work Schedule: Hybrid
Benefits on offer for this contract position: Health Insurance Life insurance 401K and Voluntary Benefits
We are seeking an analytical and business-savvy AI Business Analyst to support the design and delivery of AI-driven initiatives across our banking operations. In this role, you will work closely with business units, risk teams, and technical partners to identify opportunities where AI automation and analytics can enhance customer experience, streamline operations, and strengthen risk management. This role is ideal for someone who understands the complexities of the financial sector and can translate them into actionable data-driven solutions.
Key Responsibilities:
• Analyze banking workflows-including retail commercial lending, fraud, credit compliance, and customer service-to identify opportunities for AI and automation. • Translate business needs into clear AIML requirements, user stories, process maps, and functional specifications. • Collaborate with data scientists, engineers, and business stakeholders to design responsible and compliant AI solutions. • Support the development and implementation of AI use cases such as credit decisioning, fraud detection, predictive analytics, customer segmentation, and conversational banking. • Build ROI analyses, regulatory impact assessments, and value-case documentation for AI initiatives. • Participate in model validation testing and monitoring to ensure accuracy, fairness, and compliance with banking standards. • Prepare reports, dashboards, and presentations that communicate insights to both technical and non-technical stakeholders. • Monitor AI and regulatory trends in banking, e.g., model risk management, fair lending, and recommend best practices.
Qualifications:
Bachelors degree in Business, Finance, Information Systems, Data Analytics, Computer Science, or related field.
Experience as a Business Analyst, Data Analyst, AI Analyst, or similar role-preferably in financial services.
Understanding of banking processes such as lending, fraud, risk, payments, customer onboarding, or regulatory compliance.
Familiarity with AIML concepts, data pipelines, and model lifecycle fundamentals.
Strong analytical skills with proficiency in Excel, SQL, and BI tools, such as Power BI, Tableau, etc.
Ability to translate complex technical concepts into clear business language.
Experience working with regulatory frameworks such as MRM, Model Risk Management, Fair Lending, or AML requirements.
Exposure to automation tools, such as Power Automate, UiPath, or conversational AI platforms.
Familiarity with cloud platforms, Azure, AWS, GCP, and their AIML services.
We believe in our vision and values just as strongly today as we did the first time we put them on paper more than 20 years ago. Staying true to them will guide us toward continued growth and success for decades to come. As you read more about our vision and values, you will learn about who we are, where we’re headed and how every Wells Fargo team member can help us get there.