Data Management Senior Manager

• 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

• 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

• 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

Relocation assistance is not available for this position