Chief Data & Artificial Intelligence Officer

Texas Capital; Dallas (TX); On-site; USD 250,000 - 420,000; Full time

Benefits offered by this job

Health insurance

Wellness program

401K match

Paid leave & PTO

Job summary

Texas Capital is seeking a Senior Executive to lead the enterprise data and AI strategy, governance, and platform delivery. You will oversee data governance, AI security, and a broad team of data professionals, working with business leaders and the Board to turn data into trusted, value-driven outcomes.

The role requires deep technical fluency across Kafka, SQL Server, Postgres, Snowflake, and Calibra, plus strong executive presence to guide cross-functional partners and align with the CTO and

Qualifications

• 15+ years in data/analytics/AI leadership roles
• 8+ years managing large multi-disciplinary teams
• Hands-on fluency with modern data platforms & cloud data warehouses
• Experience governing AI/LLM technologies and AI security governance
• Executive-level communication and reporting to boards

Responsibilities

• Refine and own enterprise data and AI strategy, roadmap, and investment case
• Lead data & AI governance across the firm
• Run executive data & AI council and resolve prioritization disputes
• Define operating model with business lines including data products
• Oversee data quality, AI risk posture, and realized value to leadership

Skills

Data strategy & governance

Executive communication

Cross-functional leadership

AI/LLM governance

Budget & cost management

Education

Advanced degree in CS/DS/Engineering

Tools

Kafka

SQL Server

Postgres

Snowflake

Calibra

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.

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.