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Wells Fargo is seeking a Senior Lead Data Management Analyst to serve as a senior execution lead within the Chief Operating Office – Data Domain, supporting enterprise data management and data risk priorities. This role plays a critical part in interpreting data management governance requirements and executing controls aligned to those requirements. The position supports regulatory priorities, domain risk management, and sustained governance maturity across business-critical data assets. Help drive and enhance data management governance activities that utilize AI integration.
Job Responsibility:
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:
7+ years of experience in Data Management, Business Analysis, Analytics, Project Management, or equivalent experience through work, education, or military service
Nice to have:
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
What we offer:
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance