Data Management Senior Manager

Wells Fargo & Company•Irving, TX

1d•Hybrid

About The Position

About this role: Wells Fargo is seeking a Data Management Senior Manager to lead data governance, data quality, and metadata strategy for the Auto business. This role is responsible for strengthening the accuracy, consistency, and control of data that supports Auto Originations, Underwriting, Funding, Servicing, Collections, and reporting functions. You will oversee teams advancing data maturity, remediation, and risk reduction across the Auto data ecosystem, partnering closely with Auto Operations, Technology, Risk, and enterprise Data Management teams. In this role, you will: Lead the Auto data management strategy, ensuring alignment with enterprise data governance policies, Auto operational needs, and regulatory expectations. Oversee end‑to-end data quality programs across Auto systems, including origination pipelines, decisioning models, pricing data, customer information, dealer data, and servicing platforms. Drive data remediation efforts tied to operational issues, regulatory commitments, control gaps, or transformation programs within the Auto business. Partner with senior leaders across Auto Originations, Servicing, Risk, Technology, and Controls to identify data pain points, reduce defects, and accelerate data maturity. Manage Auto data governance processes, including data ownership roles, data definitions, lineage documentation, critical data element inventory, and metadata standards. Ensure disciplined execution of data controls, including monitoring routines, rule validation, reconciliation checks, and model data fitness assessments. Provide strategic guidance on Auto platform modernization initiatives, ensuring data requirements, lineage, and quality controls are embedded from design through implementation. Lead, mentor, and develop a team of data professionals and managers, promoting a culture of operational excellence, inclusiveness, accountability, and transparency. Oversee budgets, staffing, and resource planning for Auto data initiatives. Represent the Auto data function during audits, regulatory exams, and senior risk reviews with confidence, accuracy, and clarity.

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

Nice To Haves

Ability to translate complex Auto data concepts into clear insights for senior leaders.
Strong influencing skills working across highly matrixed Auto, Tech, and Risk environments.
Experience improving data quality or controls within a lending or consumer finance business.
Excellent communication skills with emphasis on risk transparency and clear documentation.
Demonstrated experience to manage data governance workflows, business glossaries, and metadata assets, metadata management, data stewardship, and catalog adoption.
Proficiency with tools to support data lineage, data discovery, and governance processes.
Strong knowledge of Informatica Data Quality (IDQ) to design, monitor, and remediate data quality rules and controls.
Familiarity with data observability tools such as Monte Carlo or Great Expectations to monitor data integrity across pipelines.
Proficiency working with enterprise data platforms such as Teradata, Oracle, or SQL Server to support data evaluation and remediation activities.
Experience with cloud data ecosystems such as Azure Data Lake, Databricks, Snowflake, AWS, or GCP to support modern data architecture initiatives.
Capability to work with ETL/ELT tools such as Informatica PowerCenter, Informatica Cloud, IBM DataStage, or Talend to understand data sourcing and transformation logic.
Knowledge of data modeling platforms such as ER/Studio or Erwin to interpret logical and physical data models.
Proficiency in SQL for data profiling, validation, and quality assessments.
Familiarity with Python or R to perform advanced data analyses or verification activities.
Experience using data visualization tools such as Tableau or Power BI to create dashboards supporting data quality and governance insights.
Knowledge of Jira, Azure DevOps, or Rally to manage Agile delivery of data management initiatives.
Experience using Aha! or Productboard to support roadmap development and prioritization for data initiatives.

Responsibilities

Lead the Auto data management strategy, ensuring alignment with enterprise data governance policies, Auto operational needs, and regulatory expectations.
Oversee end‑to-end data quality programs across Auto systems, including origination pipelines, decisioning models, pricing data, customer information, dealer data, and servicing platforms.
Drive data remediation efforts tied to operational issues, regulatory commitments, control gaps, or transformation programs within the Auto business.
Partner with senior leaders across Auto Originations, Servicing, Risk, Technology, and Controls to identify data pain points, reduce defects, and accelerate data maturity.
Manage Auto data governance processes, including data ownership roles, data definitions, lineage documentation, critical data element inventory, and metadata standards.
Ensure disciplined execution of data controls, including monitoring routines, rule validation, reconciliation checks, and model data fitness assessments.
Provide strategic guidance on Auto platform modernization initiatives, ensuring data requirements, lineage, and quality controls are embedded from design through implementation.
Lead, mentor, and develop a team of data professionals and managers, promoting a culture of operational excellence, inclusiveness, accountability, and transparency.
Oversee budgets, staffing, and resource planning for Auto data initiatives.
Represent the Auto data function during audits, regulatory exams, and senior risk reviews with confidence, accuracy, and clarity.