Teams at GM Financial

Designs, integrates, and manages scalable batch and streaming data pipelines from internal and external sources. Builds ETL processes, data schemas, business rules, and cloud-based data solutions; monitors data loads and resolves availability issues. Collaborates with business, engineering, and privacy teams to ensure compliant data handling. Evaluates emerging data technologies, supports innovation, and helps adopt modern architectures, DevOps practices, and AI-enabled workflows.

Designs, integrates, and manages scalable batch and streaming data pipelines from internal and external sources. Responsibilities include data transformation, schema and business-rule enhancements, load monitoring, troubleshooting data availability, evaluating emerging technologies, and collaborating with business, engineering, and privacy teams. The role also supports data governance, secure data handling, cloud technologies, and adoption of AI-enabled tools.

Leads IT audit data analytics, overseeing data extraction, complex algorithms, query validation, data quality, audit reporting, and analytical support for internal audit testing. Manages, coaches, and develops Data Analyst staff; maintains knowledge of databases, audit tools, and data relationships; consults with audit leadership on analytical needs; and supports budgeting and salary evaluations.