# Lead Finance Data Management Analyst at Wells Fargo

Wells Fargo is hiring a Lead Finance Data Management Analyst. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/88d91d89-a732-4896-893a-d6db685546dc?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 33 out of 100)
- Location: CHARLOTTE, NC
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/88d91d89-a732-4896-893a-d6db685546dc?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-finance-data-management-analyst-at-wells-fargo-97cac3

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/lead-finance-data-management-analyst-at-wells-fargo-97cac3

## Description

About this role: The Finance Data Management Office is seeking a Lead Data Management Analyst to support defect management within Finance Data Operations. The position will analyze data-quality concerns, support the resolution of defects, and help ensure that data used by Finance is complete, accurate, timely, and fit for its intended purpose. The analyst will work with Finance, Operations, Technology, data providers, product teams, and data consumers to research issues, document impacts, identify ownership, and track remediation. In this role, you will: Act as a data steward; lead complex data integrity and quality initiatives and reviews of business systems with broad impact, and act as a key participant in large-scale planning related to data quality improvement and business systems Review and analyze complex, multi-faceted data quality audits; research and resolve data quality issues which require an in-depth evaluation of multiple systems, data sets, and data connections Make decisions in complex situations requiring solid understanding of data quality standards and control framework; influence and lead review and remediation of data quality issues to meet deliverables and drive new initiatives Strategically collaborate and consult with the business, risk partners, and technical staff, including Enterprise Data Management and Technology functions, to lead, triage, and resolve data quality issues; serve as a mentor for peers Ensure compliance with Enterprise Data Management policies, standards, and technology, and facilitate execution of business data standards and control frameworks Understand the complete data lifecycle from data creation and capture to data processing, storage, and usage Serve as an expert on end-to-end data lineage using traditional methods and systemic tools with peers Create data quality improvement plans and set approach to monitor data quality to maximize efficiency and minimize risk Define strategies and identify critical data elements and data quality rules to effectively govern data within the business Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Required Qualifications: 5+ years of data quality or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4+ years of SQL experience, analyzing structured, high-volume, or complex datasets. Knowledge of banking or financial products and Finance, accounting, regulatory, risk, control, or operational data. Experience using Python for data analysis, reporting, process automation, workflow development, or solution prototyping. Demonstrated experience using and developing AI-enabled solutions with tools such as Microsoft Copilot, agents, reusable skills, prompts, or workflow orchestration to support analysis, research, process improvement, operational efficiency. Experience working independently, managing moderately complex projects, initiatives, or workstreams involving multiple stakeholders, competing priorities, dependencies, risks, and deliverables. Demonstrated ability to analyze ambiguous business or data problems and develop structured recommendations or solution options. Ability to communicate technical concepts, recommendations, risks, and status clearly to business and technical stakeholders. Experience with Microsoft Power Platform, Power Automate, Power Apps, Power BI, Azure, GitHub, APIs, or equivalent technologies. Experience translating operational needs into requirements, user stories, prototypes, process designs, or implementation roadmaps. Experience with data-quality controls, reconciliations, defect and issue management, root-cause analysis, production support, financial-data platforms, or operational reporting. Knowledge of responsible AI, data privacy, information security, access

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-finance-data-management-analyst-at-wells-fargo-97cac3

Source: https://jobsbylevel.com/jobs/lead-finance-data-management-analyst-at-wells-fargo-97cac3

## Cite this page

Level. https://jobsbylevel.com/jobs/lead-finance-data-management-analyst-at-wells-fargo-97cac3.

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