Lead Data Management Analyst-Enterprise Data Governance Quality Control

$111,100 - $197,500/Yr

Wells Fargo - Minneapolis, MN

Full-time - Mid Level

Hybrid - Minneapolis, MN

10,001+ employees

Credit Intermediation and Related Activities

About the position

Wells Fargo is seeking a Lead Data Management Analyst to support and perform quality control activities aimed at mitigating risks associated with validation failures. This role involves designing complex analyses to identify and remediate data quality issues, implementing frameworks for reviewing supervisory program deliverables, and collaborating with cross-functional teams to develop data governance strategies.

Responsibilities

• Design and conduct complex analysis to identify and remediate data quality.
• Support the definition and implementation of a framework to review and validate supervisory program deliverables.
• Lead the review of corrective action plans and remediation strategies to identify validation risks.
• Represent EDGR in cross-functional groups to develop companywide data governance strategies.
• Define and execute validation plans for supervisory deliverables, including issue summary memos.
• Evaluate data quality metrics and audits, enforcing accountability for deliverables' quality.
• Define and implement metrics and reporting to highlight validation progress and risks.
• Train and support business groups in developing similar functions and processes.

Requirements

• 5+ years of experience in Data Management, Business Analysis, Analytics, or Project Management.
• 4+ years of experience with data testing and/or related audit methodologies.
• Good knowledge of internal banking processes.
• Excellent understanding of audit methodology and critical thinking abilities.
• Ability to challenge business line controls and make improvement recommendations.
• Excellent verbal, written, and interpersonal communication skills.
• Strong organizational, multitasking, and prioritizing skills.
• Ability to execute in a fast-paced environment while balancing multiple priorities.

Nice-to-haves

• Experience in supporting development and execution of data testing approaches.
• Ability to build domain knowledge and overall business acumen.
• Self-motivated with an Agile mindset and problem-solving attitude.

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement