Job Description

Location: San Antonio, TX
Experience Required: 4-6 years
Industry: Data Science, Data Governance

We are looking for an experienced Data Scientist with expertise in data quality, governance, and modeling to lead large-scale data initiatives. The ideal candidate will have hands-on experience with data observability, cataloging, lineage tracking, and profiling using tools like BigEye and Alation . This role involves ensuring data integrity, designing and optimizing data models, and leading data governance efforts across projects.

• Utilize BigEye's data observability features to monitor and maintain data quality .
• Implement data lineage tracking to assess the impact of data changes.
• Perform data profiling to evaluate the usability of datasets.
• Establish trust flags to indicate data reliability.
• Apply data tagging to ensure proper classification, tracking, and measurement.
• Define and implement data quality rules, testing plans, and validation strategies .

• Lead a team of data modelers in developing logical and physical data models .
• Design data models following best practices and optimize them for new and existing projects.
• Maintain and update conceptual, logical, and physical data models along with metadata.
• Work closely with Business Analysts and Technical Architects to translate business requirements into efficient data structures .
• Ensure consistency by defining standard naming conventions and coding practices .
• Evaluate data models and physical databases for inconsistencies and discrepancies.
• Validate data models and ensure compliance with industry standards.

• Play a lead role in at least 2-3 mid-to-large-scale projects .
• Manage data governance policies and enforce compliance with USAA's internal systems, policies, and procedures (IGC, RRAIT, IAI, IA, UDC, Alation, BigEye).
• Work across teams, coordinating with engineering, analytics, and governance teams to ensure data reliability.

• Data Governance & Observability: BigEye, Alation
• ETL Tools: Informatica, DataStage, Ab Initio
• Programming: Python for Data Science
• Data Modeling: Logical and Physical Data Model Design
• Database & Metadata Management: Experience maintaining and optimizing database structures
• USAA Systems & Compliance Knowledge: Familiarity with IGC, RRAIT, IAI, IA, UDC/Alation, BigEye

• Experience with data cataloging and lineage tracking
• Strong understanding of data integration, ETL processes, and metadata management
• Ability to define and implement data quality frameworks
• Leadership experience in managing data teams and large-scale projects

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