Lead Finance Data Management Analyst

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 management, records management, model risk, or controls applicable to automated solutions.
• Experience developing dashboards, performance metrics, management information, or benefit-measurement frameworks.
• Understanding of data lineage, metadata, data architecture, source-to-target transformations, or enterprise data governance.
• Experience working in Agile, product-management, or structured technology-delivery environments.
• Experience influencing outcomes across India- and US-based Operations and Technology teams without direct authority.

 

Job Expectations:

• This position offers a hybrid work schedule from our 11625 N. Community House Road, Charlotte, NC 28202 or 550 S. 4th Street, Minneapolis MN 107935 locations.
• Relocation assistance is not available for this position
• This position is not eligible for Visa sponsorship

 

Specific compliance policies may apply regarding outside activities and/or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$100,000.00 - $179,000.00

Posting End Date:

8 Nov 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.