Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
Named one of the top three fastest-growing banking brands in the U.S. in 2020.
Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.
WHAT THEY OFFER YOU:
Fast paced, highly collaborative, teamwork-oriented environment
Make an immediate impact in this high visibility role
Ability to drive change within the organization with a focus on advancement in technology and programs
Top-notch leadership committed to developing people
THE BACKGROUND THAT FITS
Design, build, and maintain appropriate data models and structures in support of analytics, data profiling, metadata, and lineage documentation.
Assist & support metadata and documentation standards, data naming standards, and data integration strategy.
Design and develop high quality processes and procedures to ensure effective availability, definition, and integrity of enterprise data assets.
Work with project teams to develop and document information requirements and business rules in the form of conceptual and logical data models, data lineage maps, data flow diagrams, and formulate the data architecture to meet business information requirements and support the business rules.
Work with data stewards to define data quality testing rules, develop reference data and master data to support business initiatives and projects.
Analyze and profile data to identify new business opportunities and others to implement a solution that impacts business in a positive manner.
Collaborate with the data owners from multiple business lines to define data transformation and data integration rules to build the program in support of data integration.
Identify and propose new data sources to enhance the breadth and quality of the data captured and processed .