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Wells Fargo

Senior Lead Data Management Analyst – COO DAR

Wells Fargo

. Act as a trusted advisor to senior leaders across the COO Data Domain, influencing priorities, roadmaps, and execution decisions tied to data risk .

Posted 5/20/2026full-timeCharlotte • Minnesota, North Carolina • 🇺🇸 United StatesSenior💰 $159,000 - $279,000 per yearWebsite

Tech Stack

Tools & technologies
Informatica

About the role

Key responsibilities & impact
  • Act as a trusted advisor to senior leaders across the COO Data Domain, influencing priorities, roadmaps, and execution decisions tied to data risk
  • Interpret data management policy, procedures, regulatory expectations, and partner guidance into practical domain execution
  • Execute and mature data governance controls aligned to enterprise requirements, including RCSA, self-assurance activities, and control evidence
  • Facilitate and coordinate COO Data Domain issue management activities, including remediation planning and execution for identified data issues
  • Coordinate COO Data Domain independent review engagements, including preparation, stakeholder alignment, and response follow‑through
  • Drive development, refinement, and ongoing enhancement of governance processes to improve effectiveness and efficiency
  • Produce leadership ready materials and socialize outcomes with senior stakeholders across business, risk, compliance, and technology
  • Provide experienced guidance to data domain team members, accelerating understanding of requirements and execution expectations
  • Represent the COO Data Domain in enterprise data governance forums, contributing execution focused input into standards, controls, and accountability models
  • Partner with data stewards, risk, compliance, and technology teams to align governance execution with enterprise data risk priorities

Requirements

What you’ll need
  • 7+ years of experience in Data Management, Business Analysis, Analytics, Project Management, or equivalent experience through work, education, or military service
  • Experience embedding Artificial Intelligence (AI) into data governance (e.g., data quality, anomaly detection, control automation) in banking, aligned with regulatory and model risk standards.
  • Proven experience translating enterprise data governance policies and regulatory expectations (e.g., BCBS 239) into actionable execution.
  • Strong expertise in data risk management, governance controls, and control validation (RCSA, self-assurance, control evidence).
  • Experience leading issue management and remediation efforts, including coordination with risk, audit, and compliance partners.
  • Demonstrated success supporting or managing independent reviews (audit, second line, regulatory) and effective responses.
  • Ability to simplify complex requirements into clear execution plans and executive-ready deliverables.
  • Track record of enhancing governance processes to improve control effectiveness and operational efficiency.
  • Strong stakeholder management skills with the ability to influence senior leaders and operate independently.
  • Familiarity with data governance and metadata platforms (e.g., Collibra, Informatica, Alation).
  • Excellent analytical, problem-solving, and communication skills.

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data ManagementBusiness AnalysisAnalyticsProject ManagementArtificial IntelligenceData GovernanceData Risk ManagementGovernance ControlsControl ValidationIssue Management
Soft Skills
Stakeholder ManagementInfluencingCommunicationAnalytical SkillsProblem-SolvingLeadershipSimplifying Complex RequirementsOperational EfficiencyExecution PlanningCollaboration