Financial Systems Senior Analyst at Texas Capital Bank in Dallas, TX

  • Company: Texas Capital Bank
  • Location: Dallas, TX
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-08

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Job description

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success — today and tomorrow. While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment — investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives . At Texas Capital, we do more than build business success. We build long-lasting relationships. Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News ’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com . Overview This Financial Systems Senior Analyst role is a vital member of the Enterprise Business Management (EBM) Office that provides direct oversight of enterprise finance platforms and data workflows across Texas Capital Bank. This high-profile role combines data integration expertise with platform governance in support of the EBM Office's expanding charter. The position provides opportunities to work directly with finance, technology, and business leadership in designing data flows, managing platform configurations, and ensuring data usability across downstream systems. This role has a strong systems and data focus and will require a self-motivated, action-oriented strategic thinker who can prioritize, communicate, and collaborate to build relationships across departmental lines and drive platform initiatives to successful completion. Responsibilities · Be a key partner to the Enterprise Finance Leadership Team; supporting enterprise business management capabilities across several models, projects and their reporting in Apptio. · Design and document data flow architecture; identify integration points, data dependencies, and handoff sequences. · Establish data mapping standards and master data governance across platforms to ensure consistency in definitions, hierarchies, and dimensions. · Contribute to the development of data governance policies and practices for platforms facilitated by the EBM Office. · Support the establishment of data quality standards, validation rules, and remediation workflows; track SLAs for data completeness, accuracy, and timeliness. · Document platform capabilities, data schemas, and business rules; maintain current documentation of platform configuration and data lineage. · Identify manual processes and redundant data entry across finance systems; design and implement automated workflows to reduce rework and improve timeliness. · Act as a liaison between the EBM Office, Corporate Finance, IT, and business units on platform, data, and allocation matters. · Monitor data integration health, latency, and quality; proactively identify and resolve integration failures or data anomalies. Requirements · An undergraduate degree in Computer Science, Information Systems, Business Administration, Finance, or related field. · A minimum of 5 years of related experience in data integration, ETL, data governance, or enterprise systems administration. · Initiative to identify data quality issues, scope and logically structure an analysis, extract relevant insights, and communicate with a po

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