Lead Data Management Analyst

About this role:

Wells Fargo is seeking a Lead Data Management Analyst

In this role, you will:

• Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes
• Oversee analysis and reporting in support of regulatory requirements
• Identify and recommend analysis of data quality or integrity issues
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures
• Identify new data sources and develop recommendations for assessing the quality of new data
• Lead project teams and mentor less experienced staff members
• Recommend remediation of process or control gaps that align to management strategy
• Serve as relationship manager for a line of 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
• Represent client in cross-functional groups to develop companywide data governance strategies
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications:

• 5+ 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:

• Experience working within Corporate and Investment Banking, ideally within the front office, business support or management, business control, data management or operations.
• Knowledge and understanding of Corporate and Investment Banking business applications, functionality, processes, and workflows.
• Experience with one or more of the following risk areas or stripes: operational risk, technology risk, information security risk, and data management risk.
• Superior consultative skills and ability to work and influence successfully within a matrix environment; willingness to share knowledge with peers and other partners.
• History of building effective business partnerships with peers and colleagues.
• Superior analytical and technical skills. Excellent verbal, written, interpersonal and communication skills. Strong organizational and execution skills.
• Ability to present complex material in an audience appropriate and consumable manner to various levels of the organization.