Chief Data Officer Visa Sponsorship Jobs in Texas
Chief data officer visa sponsorship jobs in Texas are concentrated in Dallas-Fort Worth, Houston, and Austin, where employers like AT&T, ExxonMobil, Dell Technologies, and major financial institutions build large data organizations. Texas's energy, technology, and healthcare sectors drive consistent demand for senior data leadership, making the state one of the most active markets for CDO hiring nationwide.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
The Chief Data & AI Officer will executive the data and artificial intelligence strategy across Texas Capital. This role leads the enterprise data and AI strategy, platform, and governance framework, overseeing a team of approximately 100 full-time employees and contractors (40 FTE) spanning data engineering, AI/ML infrastructure, and data governance functions. Reporting directly to the Chief Digital & Information Officer, this executive is responsible for making the bank's data trustworthy, usable, and productive, while turning AI into a governed, repeatable enterprise capability rather than a collection of disconnected experiments. The role requires deep technical fluency across modern data platforms (Kafka, SQL Server, Postgres, Snowflake, Calibra) and emerging AI technologies (agentic systems, LLMs, AI security, AI gateways and guardrails), paired with the executive presence to partner with line of business leaders, technology peers, and the Board.
Responsibilities
- Refine and own the enterprise data and AI strategy, roadmap, and investment case
- Hold accountability for data governance and AI governance across the firm
- Run the Executive Data & AI Council, arbitrating cross-line-of-business definitional and prioritization disputes
- Define the operating model with lines of business, including domain ownership, stewardship, and data products
- Report enterprise data quality, AI risk posture, and realized value to the executive committee and Board
- Own the enterprise data and AI platforms, spanning streaming (Kafka), transactional databases (SQL Server, Postgres), cloud data warehousing (Snowflake), and data cataloging (Calibra)
- Lead development of AI infrastructure supporting LLM deployment, agentic technologies, and generative AI use cases
- Establish and enforce AI security standards, including AI gateways and guardrails to govern model access, usage, and risk exposure
- Drive architectural alignment with the Chief Technology Officer and shared infrastructure teams
- Oversee capacity planning, platform reliability, and cost management across the data and AI estate
- Own AI use-case intake, prioritization, and delivery in partnership with Divisional CIOs, product teams, and lines of business
- Ensure AI initiatives are delivered with measurable business value, appropriate risk controls, and regulatory compliance
- Partner with product and business leaders to identify high-value opportunities for agentic technologies and LLM-driven automation
- Establish a disciplined framework for piloting, scaling, and retiring AI use cases across the enterprise
- Build, lead, and develop a team of approximately 100 full-time employees and contractors (40 FTE) through four direct reports
- Attract and retain top data and AI talent, establishing a culture of accountability, innovation, and operational excellence
- Mentor senior technical leaders to build organizational depth and succession readiness
- Manage a multi-million-dollar technology and talent budget with discipline and transparency
QUALIFICATIONS
- 15+ years of progressive experience in data, analytics, or AI leadership, including 8+ years managing large, multi-disciplinary teams (50+ employees)
- Advanced degree in Computer Science, Data Science, Engineering, or related field preferred
- Deep experience in data platforms, governance, and analytics within complex, regulated environments such as financial services
- Hands-on fluency with modern data infrastructure: Kafka or equivalent event-streaming platforms, SQL Server, Postgres, and cloud data warehouses such as Snowflake
- Demonstrated experience governing or deploying AI/LLM technologies, including AI security, AI gateways, and guardrail frameworks
- Proven track record setting enterprise data and AI strategy and translating it into a funded, prioritized roadmap
- Experience running cross-functional governance bodies (e.g., data councils) and arbitrating competing business priorities
- Strong track record of regulatory and compliance exposure (e.g., SOX, data privacy) in a banking or financial institution
- Executive-level communication skills, with experience reporting to executive committees and Boards
- Experience with data cataloging and governance tools such as Calibra
- Background in agentic AI systems and emerging generative AI architectures
- Prior experience operating in a first-line role with second-line risk oversight (e.g., partnering with a Chief Risk Officer on data and model risk)
- Experience building or scaling a data/AI organization through a major technology transformation or operating model change
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
The Chief Data & AI Officer will executive the data and artificial intelligence strategy across Texas Capital. This role leads the enterprise data and AI strategy, platform, and governance framework, overseeing a team of approximately 100 full-time employees and contractors (40 FTE) spanning data engineering, AI/ML infrastructure, and data governance functions. Reporting directly to the Chief Digital & Information Officer, this executive is responsible for making the bank's data trustworthy, usable, and productive, while turning AI into a governed, repeatable enterprise capability rather than a collection of disconnected experiments. The role requires deep technical fluency across modern data platforms (Kafka, SQL Server, Postgres, Snowflake, Calibra) and emerging AI technologies (agentic systems, LLMs, AI security, AI gateways and guardrails), paired with the executive presence to partner with line of business leaders, technology peers, and the Board.
Responsibilities
- Refine and own the enterprise data and AI strategy, roadmap, and investment case
- Hold accountability for data governance and AI governance across the firm
- Run the Executive Data & AI Council, arbitrating cross-line-of-business definitional and prioritization disputes
- Define the operating model with lines of business, including domain ownership, stewardship, and data products
- Report enterprise data quality, AI risk posture, and realized value to the executive committee and Board
- Own the enterprise data and AI platforms, spanning streaming (Kafka), transactional databases (SQL Server, Postgres), cloud data warehousing (Snowflake), and data cataloging (Calibra)
- Lead development of AI infrastructure supporting LLM deployment, agentic technologies, and generative AI use cases
- Establish and enforce AI security standards, including AI gateways and guardrails to govern model access, usage, and risk exposure
- Drive architectural alignment with the Chief Technology Officer and shared infrastructure teams
- Oversee capacity planning, platform reliability, and cost management across the data and AI estate
- Own AI use-case intake, prioritization, and delivery in partnership with Divisional CIOs, product teams, and lines of business
- Ensure AI initiatives are delivered with measurable business value, appropriate risk controls, and regulatory compliance
- Partner with product and business leaders to identify high-value opportunities for agentic technologies and LLM-driven automation
- Establish a disciplined framework for piloting, scaling, and retiring AI use cases across the enterprise
- Build, lead, and develop a team of approximately 100 full-time employees and contractors (40 FTE) through four direct reports
- Attract and retain top data and AI talent, establishing a culture of accountability, innovation, and operational excellence
- Mentor senior technical leaders to build organizational depth and succession readiness
- Manage a multi-million-dollar technology and talent budget with discipline and transparency
QUALIFICATIONS
- 15+ years of progressive experience in data, analytics, or AI leadership, including 8+ years managing large, multi-disciplinary teams (50+ employees)
- Advanced degree in Computer Science, Data Science, Engineering, or related field preferred
- Deep experience in data platforms, governance, and analytics within complex, regulated environments such as financial services
- Hands-on fluency with modern data infrastructure: Kafka or equivalent event-streaming platforms, SQL Server, Postgres, and cloud data warehouses such as Snowflake
- Demonstrated experience governing or deploying AI/LLM technologies, including AI security, AI gateways, and guardrail frameworks
- Proven track record setting enterprise data and AI strategy and translating it into a funded, prioritized roadmap
- Experience running cross-functional governance bodies (e.g., data councils) and arbitrating competing business priorities
- Strong track record of regulatory and compliance exposure (e.g., SOX, data privacy) in a banking or financial institution
- Executive-level communication skills, with experience reporting to executive committees and Boards
- Experience with data cataloging and governance tools such as Calibra
- Background in agentic AI systems and emerging generative AI architectures
- Prior experience operating in a first-line role with second-line risk oversight (e.g., partnering with a Chief Risk Officer on data and model risk)
- Experience building or scaling a data/AI organization through a major technology transformation or operating model change
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.
Chief Data Officer Job Roles in Texas
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Search Chief Data Officer Jobs in TexasChief Data Officer Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for chief data officers?
Large enterprises with established immigration programs are the primary sponsors for chief data officer roles in Texas. AT&T and other major telecoms in Dallas, ExxonMobil and energy firms in Houston, and Dell Technologies in Austin have histories of sponsoring senior data and technology leadership. Financial institutions and large healthcare systems like HCA Healthcare and USAA also sponsor H-1B visa petitions for executive data roles.
Which visa types realistically apply to chief data officer roles in Texas?
Chief data officer roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or information systems, making H-1B the most common path. H-1B1 visa applies to Chilean and Singaporean nationals, and E-3 visa applies to Australian nationals, both also requiring specialty occupation status. Candidates with an advanced degree or exceptional ability may pursue an EB-2 green card, with EB-3 available for skilled workers.
How to find chief data officer visa sponsorship jobs in Texas?
Migrate Mate lists Texas employers with verified visa sponsorship history for data leadership roles, letting you focus on companies that have demonstrated willingness to sponsor rather than applying broadly. Filtering by chief data officer roles in Texas on Migrate Mate surfaces active listings from Dallas-Fort Worth, Houston, and Austin employers who have filed Labor Condition Applications for senior data positions, reducing time spent on employers unlikely to sponsor at the executive level.
Which Texas cities have the most chief data officer sponsorship activity?
Dallas-Fort Worth leads Texas for CDO sponsorship activity, anchored by headquarters of telecom, financial services, and technology companies. Houston follows closely, driven by energy sector companies and major healthcare systems that invest heavily in data governance and analytics leadership. Austin's growing technology sector produces meaningful CDO hiring as well, particularly among mid-size to large tech companies that have relocated or expanded their headquarters there in recent years.
Are there state-specific considerations for chief data officers seeking visa sponsorship in Texas?
Texas has no state income tax, which affects total compensation comparisons but does not change federal visa requirements. The state's concentration of Fortune 500 headquarters in Dallas-Fort Worth and Houston means many sponsoring employers have in-house immigration counsel experienced with senior-level H-1B petitions. Texas also hosts several major research universities with data science programs, creating pipelines of candidates that some employers track when building out CDO-level succession and direct hire strategies.
What is the prevailing wage for sponsored chief data officer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.