Senior Financial Systems & Data Governance Lead

Texas Capital; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Texas Capital seeks a Financial Systems Senior Analyst to drive enterprise data integration and platform governance within the EBM Office. You will shape data flows, manage configurations, and collaborate with finance, technology, and leadership to enable reliable reporting across downstream systems.

The role emphasizes designing scalable data architectures, establishing governance standards, and delivering automated workflows that reduce manual effort while ensuring data quality and timeliness.

Qualifications

• Undergraduate degree in CS/IS/Finance or related field.
• 5+ years in data integration, ETL, data governance, or enterprise systems administration.
• Ability to identify data quality issues and communicate insights with perspective.
• Strong SQL, relational databases, and data modeling skills.

Responsibilities

• Design data flow architecture and identify integration points.
• Document data mapping standards and master data governance.
• Develop data governance policies for platforms managed by the EBM Office.
• Implement automated data workflows to reduce rework and improve timeliness.
• Partner with finance, IT, and business units on platform and data matters.
• Monitor data integration health and resolve data anomalies.

Skills

SQL

ETL

Data governance

Data modeling

Stakeholder communication

Microsoft Excel

Education

Bachelor's degree in CS/IS/Finance

Tools

Informatica

Talend

MuleSoft

Apptio

Job description

Texas Capital seeks a Financial Systems Senior Analyst to drive enterprise data integration and platform governance within the EBM Office. You will shape data flows, manage configurations, and collaborate with finance, technology, and leadership to enable reliable reporting across downstream systems.

The role emphasizes designing scalable data architectures, establishing governance standards, and delivering automated workflows that reduce manual effort while ensuring data quality and timeliness.