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Wells Fargo is seeking a Data Product Manager to support our Auto Originations business. In this role, you will help advance our data strategy, strengthen data quality and governance practices, and lead a team focused on delivering high‑quality, well‑controlled data that supports business objectives and regulatory expectations.
Job Responsibility:
Lead the development and execution of the data product roadmap for Auto Originations, aligned to enterprise data standards and strategic priorities
Drive data quality, metadata, and data governance initiatives that enhance accuracy, transparency, and trust in key data assets
Partner with business, technology, and risk leaders to deliver a consistent, collaborative approach to data‑related challenges and opportunities
Serve as the primary escalation point for data governance and data quality matters
Provide leadership, coaching, and development for a team of data professionals
Manage resources, priorities, and deliverables to meet business and regulatory commitments
Requirements:
4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of Leadership experience
Nice to have:
Ability to synthesize complex, multi‑faceted data concepts into actionable insights that drive decision‑making
Proven ability to influence, collaborate, and drive outcomes across multiple organizational levels
Exceptional written and verbal communication skills, with the ability to translate technical issues into clear business context
Strong analytical and problem‑solving abilities, with demonstrated success navigating ambiguity
Proven track record delivering data‑focused initiatives in complex, matrixed organizations
Ability to translate complex data concepts into actionable insights that support sound decision‑making
Strong influencing skills and the ability to build effective partnerships across a matrixed organization
Preferred hands-on experience with data governance and analytics tools, including: Data Governance/Metadata: Collibra, Informatica Axon/EDC, Alation
Data Quality: Informatica DQ, cloud‑based quality tools
Data Platforms: Teradata, Oracle, SQL Server, Azure Data Lake, Databricks, Snowflake
Analytics & Visualization: SQL, Python/R, Tableau, Power BI