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Wells Fargo

Senior Data Management Analyst - Consumer Lending Data Office

Posted Yesterday
Be an Early Applicant
Hybrid
2 Locations
Mid level
Hybrid
2 Locations
Mid level
The analyst will lead data quality and governance initiatives, perform data analyses, consult with clients, and coordinate remediation efforts for data quality issues in Consumer Lending.
The summary above was generated by AI
About this role:
Wells Fargo is seeking a senior data management analyst to support the Consumer Lending LOBs in implementation requirements for Data Management Policy and Procedures.
In this role, you will:
  • Lead or participate in moderately complex programs and initiatives for data quality, governance, and metadata activities
  • Design and conduct moderately complex analysis to identify and remediate data quality, data integrity, process, and control gaps
  • Identify data quality metrics and execute data quality audits to benchmark the state of data quality
  • Develop recommendations for optimal approaches to resolve data quality issues and implement plans for assessing the quality of new data sources leveraging domain expertise and data, business, or process analysis to inform and support solution design
  • Drive planning and coordination on moderately complex remediation efforts acting as central point of contact
  • Consult with clients to assess the current state of data and metadata quality within area of assigned responsibility within Consumer Lending
  • Provide input into communication routines with stakeholders, business partners, and experienced leaders
Required Qualifications:
  • 4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
  • Knowledge of Consumer Lending products, applications, RAUs, and controls
  • Previous experience in metadata and data quality tools
  • Data defect and deficiency root cause analysis
Posting End Date:
14 Aug 2025
*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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.

Top Skills

Analytics
Data Quality Tools
Metadata Management

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