Truist Financial - Richmond, VA
posted 5 months ago
The purpose of this role is to support the Consumer Lending Data Strategy covering all aspects of the Consumer Lending business including product, credit, marketing, pricing, and operations in order to deliver strong and resilient data and reporting infrastructure. This position aims to enable a highly-effective, data-driven environment in a comprehensible, actionable, and engaging manner to provide performance monitoring and decision support while ensuring that data knowledge and insights are accurate, timely, and comprehensive utilizing ethical, efficient, and scalable methods. The essential duties and responsibilities of this role include implementing data strategies that support multiple network environments, which encompass relational databases, data warehouses, and data lakes. The individual will provide rapid response reports, insights, and visualizations across all functional areas. They will evaluate, manage, and report on production and portfolio risk-adjusted metrics, including Asset Quality, to support decision-making for the portfolio. Additionally, the role involves translating data into engaging visualizations using current state and future state business intelligence and big data tools and methods. The successful candidate will develop, enhance, and maintain processes that generate large datasets for use by analytical teammates and third parties. Establishing working relationships and being recognized as the subject matter expert for dashboards and reporting is crucial. The individual will partner with key stakeholders to develop self-service data feeds and reporting, manage the transition and scaling of one-time analytics to ongoing production reporting, and support the company mission by providing internal clients with tools they need to measure key performance indicators for their decision-making process. Furthermore, sourcing new data elements to be housed in both structured and unstructured data environments, staying abreast of the latest technology and trends in the market, and identifying possible implementation strategies are also key responsibilities. Lastly, the role requires identifying and remediating any risks associated with business intelligence, reporting, and data governance, including staying informed about all applicable rules and regulations.