Data Product Owner

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. 

Brief Overview of Position

We are seeking a highly skilled and hands-on Data Product Owner to own the design and delivery of a domain-oriented data mart that powers advanced analytics, AI/ML, and self-service BI across the organization. You will collaborate with business leaders, analytics professionals, and engineers to create data products that drive innovation and strategic decision-making. This is a unique opportunity to take ownership of critical data assets, balance technical contribution with strategic planning, and directly impact the organization’s analytics transformation.

Responsibilities

• Define and maintain the vision, strategy, and roadmap for data products (e.g., data marts, dashboards, advanced analytics solutions) within a given domain, aligning them with business objectives and stakeholder needs

• Champion a “data-as-a-product” approach, ensuring that data products drive measurable business value

• Partner with stakeholders to gather and translate business requirements into detailed user stories, technical specifications, and acceptance criteria

• Own the design and delivery of data products by working directly with a cross-functional team, including data engineers and BI developers, focusing on:

  • Robust data models for BI, self-service, and advanced analytics

  • Reusable and scalable data pipelines, transformation logic, and performance optimization within the presentation layer

• Define and track key performance indicators (KPIs) for data products to measure their adoption, usage, and business impact

• Conduct hands-on testing of data models, pipelines, and BI solutions to ensure accuracy, scalability, and usability, using SQL, Python, or tools like Coalesce

• Build prototypes for dashboards or reports using tools like Power BI, as needed

• Work closely with analytics teams to identify and support advanced analytics and AI/ML use cases, helping the business evolve beyond standard reporting into predictive and prescriptive analytics for strategic decision-making

• Collaborate with business users to create self-service analytics solutions, empowering them to leverage domain specific data marts and other data products effectively, providing training or support as needed

• Enforce data governance practices, ensuring data products comply with enterprise standards for security, lineage, and data quality

• Maintain clear and comprehensive data product documentation and deliver regular progress updates to stakeholders

• Provide guidance and mentorship to team members, fostering a culture of collaboration and continuous improvement

Qualifications

• Minimum of 7 years of experience in data and analytics, data product management, or related roles, with 3+ years in a product ownership or leadership position in data and analytics

• Bachelor’s degree in Data Science, Computer Science, Data Analytics, Information Systems, Mathematics, or a related field (Master’s preferred)

• Excellent product management skills, from defining and prioritizing product roadmaps to aligning technical execution with business goals

• Ability to manage competing priorities on complex, fast-paced projects, initiatives, and deliverables

• Strong leadership and stakeholder management skills for cross-functional collaboration

• Excellent data storytelling skills to articulate insights and value to both technical and non-technical audiences

• Strong understanding of modern enterprise data architectures

• Advanced SQL skills for querying, transforming, and validating data in Snowflake

• Experience in designing and optimizing ETL/ELT processes to ensure data pipelines deliver clean, reliable data for analytics

• Proficiency with data modeling concepts, including star schema and snowflake schema design; knowledge of Data Vault 2.0 is a plus

• Experience with Coalesce, dbt, or similar tools for data transformations, and Airflow for orchestration

• Strong proficiency in BI tools like Power BI, including the ability to build prototypes, test visualizations, and ensure dashboards and reports meet business needs

• Strong understanding of data governance principles and best practices, including data lineage, cataloging, and validation frameworks; experience with Collibra is a plus

• Experience with embedding predictive analytics outputs within data products

• Familiarity with AI/ML workflows and the ability to prepare datasets for advanced analytics (e.g., feature stores); experience with R or Python is preferred

• Understanding of statistical analysis techniques (e.g., regression, clustering, time-series analysis) to guide data product development and analysis is preferred

• Experience working in Agile or Scrum environments, including backlog management, sprint planning, and using tools like Jira, Confluence, or Azure DevOps

• Familiarity with version control tools like Git

The duties listed above are the essential functions, or fundamental duties within the job classification.  The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.