Technology Business Systems Consultant
Wells Fargo
- Location
- Bengaluru, India
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 2, 2026
Skills
About this role
About this role: Wells Fargo is seeking a Technology Business Systems Consultant in Lending Solutions Group as part of Commercial Banking. As a member of the Production Support team, he/she will provide Tier3 production support to Loan IQ users and downstream consumers of Loan IQ data. This team Member will be a member of The Loan IQ production support team (“Production support”), within Commercial Banking. The Production Support team provides front line business application support to the Loan IQ user community by researching and responding to requests related to Loan IQ and associated processes and reporting. Production support serves as the liaison between the end users and technology and is responsible for ownership of each request throughout the lifecycle of the request. Learn more about our career areas and lines of business at wellsfargojobs.com. In this role, you will: Evaluate moderately complex business problems and provide technical assistance in identifying automated systems and related procedures that are cost effective and meet business requirements Review and evaluate moderately complex technical business problems that can be resolved through internet or intranet based solutions Present recommendations for resolving business problems Exercise some independent judgment when developing project budgets, project plans, and schedules Provide information about communication between business and technology teams Work with business user groups to provide training, handle questions, observe user needs, and document results Required Qualifications: 2+ years of Business Systems Data experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Required AI Skills and Competencies As part of Wells Fargo’s commitment to innovation and responsible AI adoption, all roles require foundational AI literacy, including: Understanding and Application of AI Tools: Ability to leverage AI platforms (e.g., Microsoft Copilot, GitHub Copilot, Tachyon, Agentspace) for routine tasks such as summarizing information, drafting content, and analyzing data, while maintaining appropriate human oversight. Critical Thinking: Ability to interpret AI‑generated outputs, validate insights, and apply sound judgment in business and risk decisions. Responsible AI Use: Awareness of ethical considerations, data privacy, security, and regulatory compliance when using AI‑enabled solutions. Adaptability and Continuous Learning: Commitment to continuous learning and staying current with emerging technologies and AI capabilities.
Desired Qualifications
5+ years of overall Business Systems / Technology experience, with deep specialization in Loan IQ and Commercial Lending platforms, demonstrated through production support, analysis, testing, or implementation roles. Significant hands‑on experience (3–4+ years) supporting Loan IQ operations, including production support, issue analysis, testing, and commercial lending workflows. Demonstrated experience supporting commercial lending platforms, preferably Loan IQ, in production support, analysis, testing, or implementation roles Strong understanding of commercial lending and Loan Accounting processes, including syndications, loan trading, origination, and servicing activities Proven SQL skills, including the ability to analyze data and develop or interpret complex queries for investigation and resolution of production issues Experience acting as a liaison between business, operations, technology, and application vendors to troubleshoot and resolve production issues Experience coordinating requirements, testing, and implementation for medium to large‑scale enterprise initiatives with multiple dependencies Hands‑on experience working in Agile delivery environments, including backlog refinement, sprint ceremonies, and defect management Familiarity with testing and defect tracking tools such as ALM and