Truist Financial - Orlando, FL
posted 5 months ago
The purpose of this role is to support the Consumer Lending Data Strategy covering all aspects of the 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 delivering compelling executive presentations to stakeholders, clients, and internal teams. This requires exceptional communication skills and the ability to summarize complex information into clear and concise presentations. The role also demands an extensive understanding of the drivers, inputs, and performance of a consumer lending company's income and balance sheet statements. Additionally, the position involves implementing data strategies that support multiple network environments, including relational databases, data warehouses, and data lakes. The individual will evaluate, manage, and report on production and portfolio risk-adjusted metrics, including Asset Quality for decision support of the portfolio. Translating data into engaging visualizations using current state and future state business intelligence and big data tools and methods is also a key responsibility. The role requires developing, enhancing, and maintaining 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 manage the transition and scaling of one-time analytics to ongoing production reporting, supporting the company mission by providing internal clients with tools they need to measure key performance indicators for their decision-making process. 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 part of the job. Finally, the individual must identify and remediate any risk associated with business intelligence, reporting, and data governance, including staying informed about all applicable rules and regulations.