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Data Management Senior Manager

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
IT - Administration

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Contract Type:
Employment contract

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Salary:

159000.00 - 279000.00 USD / Year

Job Description:

Wells Fargo is seeking an experienced Data Management Senior Manager to join the Chief Operating Office (COO) Data Domain (DD) team responsible and accountable for the Data Management Policy implementation and adherence for the COO organization. Additionally, the COO DD Team is seeking to automate and simplify data management service offerings across the produce, distribute and use stages aiding in data risk mitigation, improving data management efficacy and driving efficiency gains. This experienced data management professional will lead the Business Enablement Team managing the risk/control environment for the domain, required councils and forums for DMP compliance, reporting across the domain, as well as taking lead on testing activities across the broader function.

Job Responsibility:

  • Collaborate across teams: Partner effectively with Chief Operating Office (COO) Sub-Domain Teams, counterpart Business Data Leads (BDL) and Data Management and Insights (DMI) Teams, Technology, Control Management, and across the Global Operations Data, Analytics and Reporting Teams
  • Manage risk and controls: Implement, manage and execute the risk/control environment for the domain inclusive of expected and domain specific controls
  • Lead compliance governance: Establish required councils and forums for Data Management Policy (DMP) compliance along with monitoring of execution activities
  • Develop reporting capabilities: Build and continuously refine reporting suite inclusive metrics, trends, aggregations, early warnings, etc. for COO Data council and sub-domains to support data driven decision making
  • Drive automation and efficiency: Identify and implement automation to simplify data management execution activities, processes, enable greater self-service and drive efficiencies
  • Oversee risk and audit processes: Coordination and oversight of Risk and Control Self-Assessment (RCSA) and Exam Management processes
  • Implement and optimize policy: Responsible for the implementation, change management and ongoing optimization of Data Management Policy for the Chief Operating Office
  • Centralize communication and resources: Provide centralized domain communications, education and execution materials including a domain wide SharePoint site
  • Lead a multidisciplinary team: Manage a team with data, risk, reporting, analytics, technology, and process experience

Requirements:

  • 6+ years of Data Management, Business Research, Analytics, or Project Management or leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of management or leadership experience
  • Enterprise policy implementation: Proven experience implementing enterprise-wide Data Management Policies or comparable data governance frameworks (e.g., Data Management Body of Knowledge (DAMA-DMBOK), Basel Committee on Banking Supervision 239 (BCBS239), or Capability Maturity Model Integration (CMMI))
  • Cross-functional leadership: Demonstrated success leading high-impact, cross-functional business initiatives with measurable outcomes
  • Data lifecycle expertise: Deep understanding of the data supply chain, lifecycle, including data production, distribution and consumption across complex organizations
  • Control environment design: Expertise in designing, implementing and managing hybrid control environment that balances expected and specific controls
  • Stakeholder engagement: Exceptional stakeholder engagement skills, with the ability to influence senior leaders and drive alignment across business and technology teams
  • Data management tools knowledge: Familiarity with data quality, metadata management, and data lineage tools and practices
  • Industry experience: Experience in regulated industries, financial services is highly preferred
  • Problem-solving mindset: Curious problem solver who excels at listening to customer needs and relentlessly pursues solutions
  • Technical fluency: Knowledge and understanding of Cloud, Analytic and Agile concepts
  • Team leadership: Proven ability to direct, develop, and motivate team members
  • Ability to travel up to 5% of the time
  • Must be able to work from one of the approved job posting locations three (3) days in office & two (2) days remote
  • This position is not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Nice to have:

  • Enterprise policy implementation: Proven experience implementing enterprise-wide Data Management Policies or comparable data governance frameworks
  • Cross-functional leadership: Demonstrated success leading high-impact, cross-functional business initiatives with measurable outcomes
  • Data lifecycle expertise: Deep understanding of the data supply chain, lifecycle
  • Control environment design: Expertise in designing, implementing and managing hybrid control environment
  • Stakeholder engagement: Exceptional stakeholder engagement skills
  • Data management tools knowledge: Familiarity with data quality, metadata management, and data lineage tools and practices
  • Industry experience: Experience in regulated industries, financial services is highly preferred
  • Problem-solving mindset: Curious problem solver
  • Technical fluency: Knowledge and understanding of Cloud, Analytic and Agile concepts
What we offer:
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Additional Information:

Job Posted:
September 29, 2025

Expiration:
October 01, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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