Lead Data Management Analyst-Enterprise Data Governance Quality Control

Wells Fargo - Addison, TX

Full-time

Addison, TX

Credit Intermediation and Related Activities

About the position

Wells Fargo is seeking a Lead Data Management Analyst who will play a crucial role in supporting and performing quality control activities aimed at mitigating the risk of internal and/or external validation failures associated with key deliverables. This position is essential for ensuring that documentation standards are consistently applied to meet both internal and external expectations. The Lead Data Management Analyst will be responsible for designing and conducting highly complex analyses to identify and remediate data quality issues. This includes supporting the definition and implementation of a framework to review and validate supervisory program deliverables, thereby reducing second line and third line validation risk as well as regulatory risk. In this role, the analyst will leverage industry analysis, emerging trends, and best practices to refine validation frameworks, ensuring they are best in class. Acting as an advisor, the analyst will lead the review of corrective action plans, remediation strategies, and planned deliverables/success criteria to identify areas of validation risk. The analyst will represent the Enterprise Data Governance and Reporting (EDGR) team 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 will be key to incorporating detailed requirements into validation plans. The analyst will also evaluate data quality metrics and conduct data quality audits, enforcing proper accountability for the quality of deliverables. They 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. Additionally, the analyst will partner with various groups to coordinate and drive collaboration, training and supporting 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.
• Leverage industry analysis, emerging trends, and best practices to refine validation frameworks.
• 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.
• Collaborate with use case owners to incorporate detailed requirements into validation plans.
• Evaluate data quality metrics and conduct data quality audits.
• Enforce proper accountability for the quality of deliverables.
• Define and implement metrics and reporting to highlight validation progress and quality of deliverables.

Requirements

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 4+ years of experience with data testing and/or related Audit methodologies with an emphasis on development and execution of validation plans.
• Demonstrated effectiveness in supporting development and execution of data testing approaches in support of validation efforts.
• Good knowledge of internal banking processes.
• Excellent understanding of audit methodology and critical thinking abilities.
• Ability to effectively utilize process and business knowledge to challenge business line's controls and make recommendations for improvement.
• Excellent verbal, written, and interpersonal communication skills.
• Strong organizational, multitasking, and prioritizing skills.
• Ability to positively impact team environment and across all organizational levels.
• Ability to execute in a fast-paced, demanding environment while balancing multiple priorities.
• Self-motivated with an Agile mindset, problem-solving attitude, and good analytical skills with high attention to detail.

Nice-to-haves

• Experience in developing and executing data testing approaches in support of validation efforts.
• Ability to build domain knowledge and overall business acumen.