Senior Lead Data Management Analyst-Enterprise Data Governance Quality Control

Wells Fargo - Tempe, AZ

Full-time - Senior

Tempe, AZ

Credit Intermediation and Related Activities

About the position

Wells Fargo is seeking a Senior Lead Data Management Analyst to support and perform quality control activities aimed at mitigating the risk of internal and/or external validation failures associated with key deliverables. This role is crucial in ensuring a consistent application of documentation standards to meet both internal and external expectations. The successful candidate will be responsible for designing and conducting highly complex analyses to identify and remediate data quality issues. Additionally, they will support the definition and implementation of a framework to review and validate supervisory program deliverables, thereby reducing second line and third line validation risk and regulatory risk. This involves leveraging industry analysis, emerging trends, and best practices to refine validation frameworks to be best in class. In this position, the analyst will act as an advisor, leading the review of corrective action plans, remediation strategies, and planned deliverables/success criteria to identify areas of validation risk. They will represent the Enterprise Data Governance and Risk (EDGR) in cross-functional groups to develop companywide data governance strategies. This includes defining and executing validation plans for each supervisory deliverable, which encompasses the issue summary memos and related artifacts. Collaboration with use case owners is essential to incorporate detailed requirements into validation plans. The role also involves evaluating data quality metrics and conducting data quality audits to enforce proper accountability for the quality of deliverables. The analyst will define and implement metrics and reporting to highlight validation progress, concentrations of validation risk, and the quality of deliverables submitted from business groups and enterprise functions. Furthermore, the analyst will partner with various groups to coordinate and drive collaboration, providing training and support to business groups and enterprise functions in the development of similar functions and processes.

Responsibilities

• Design and conduct highly complex analysis to identify and remediate data quality.
• Support defining and implementation of a framework to review and validate supervisory program deliverables.
• Act as an advisor and lead review of corrective action plans and remediation strategies.
• Represent EDGR in cross-functional groups to develop companywide data governance strategies.
• Define and execute validation plans for each supervisory deliverable, including issue summary memos.
• Evaluate data quality metrics and conduct data quality audits to enforce accountability.
• Define and implement metrics and reporting to highlight validation progress and quality of deliverables.
• Partner with groups to coordinate and drive collaboration, training business groups in similar functions.

Requirements

• 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience.
• 6+ years of experience with data testing and/or related Audit methodologies.
• Demonstrated effectiveness in supporting development and execution of data testing approaches.
• Experience in Audit and/or Independent Risk Management and/or Front Line is highly preferred.
• Solid understanding of Institution of Internal Audit (IIA) standards and regulatory requirements.
• Strong knowledge of audit methodology, including risk identification and control assessment.
• Issue validation and remediation experience.
• Ability to coordinate/collaborate and build effective partnerships across lines of businesses.
• Demonstrated ability to take initiative, drive innovation, and proactively influence risk and control environments.
• Ability to quickly evaluate emerging risks and understand impacts.
• A BS/BA degree or higher.
• Certification in one or more of the following: CFA, FRM, CPA, CAMS, CRCM, CIA, CISA or Commissioned Bank Examiner designation.
• Excellent verbal, written, and interpersonal communication skills.

Nice-to-haves

• Experience in developing and executing validation plans.
• Knowledge of emerging trends in data governance and quality control.
• Familiarity with regulatory compliance frameworks.