Lead Data Management Analyst - BFS

About the Role:

- Wells Fargo is seeking a Lead Data Management Analyst in Corporate and Investment Banking ('CIB') to join the Applications Controls Execution & Services team, a subunit of the CIB Data Management organization. The Application Controls Execution & Services team partners and supports CIB's wide network of Application Business Owners (ABO's) with identification, interpretation and/or implementation of governance processes or controls used to mitigate various compliance, operational, or data related risks.

- The team is responsible for the development and delivery of various data management artifacts as required by internal data management policy and procedures.

- Candidates for this role will be asked to develop strong partnerships across the ACES organization, with other teams within CIB Data Management, CIB Technology stakeholders, and with other teams across the CIB Chief Operating Office. Specifically for this role, the candidate will be assigned to support a business unit vertical and will be expected to develop SME level knowledge of various business applications and the associated business and technical metadata related to the applications. Furthermore, this role will partner or consult closely with resources within the line of business and technology to document high level data lineage, implement data management artifacts, and resolve data quality issues to minimize risk and adhere to data management policy and procedure standards.

In this Role you will :

- Partner with a specific CIB business unit providing operational stewardship for existing and future business application owners (ABO's) across the business.

- Ensure compliance with various data management policies, procedures, and frameworks; assist with or create various data management deliverables or artifacts, e.g., data dictionaries, data lineage, data checks and control assessments.

- Support various data related programs or projects that require data lineage or data artifact creation. Collaborate and consult with other members of project or program.

- Support processes to review data exceptions and work with teams to resolve data issues and revise data check criteria.

- Work within required artifact development SLA's or timelines. Includes accountability for assigned initiatives or work product, limiting risk exposure, and creating efficiencies as appropriate.

- Learn and utilize tools which support the overall data management program.

- Understand the business application development and change management roadmap in partnership with current business and technology application owners, providing insight into potential risks, compliance implications or control gaps.

- Identify new or emerging risks brought upon by business application enhancements, implementations, or sunsets. Work with team or pod leadership to escalate issues or concerns.

- Participate in moderately complex programs and initiatives related to data quality, governance, and metadata activities.

- Analyze, assess, and test data checks/controls and data systems to ensure quality and risk compliance standards are met and adhere to data governance standards and procedures.

- Influence, guide and lead less experienced staff within the group.

- Utilize technical skills to analyze and remediate data quality or integrity issues.

- Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures.

- Lead data focused project teams and mentor less experienced staff members.

Essential Qualifications :

Experience in Data Management, Business Research, Analytics, Project Management

Desired Qualifications :

- 10+ years of financial services or financial services management consulting experience

- 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.