The Chief Data & AI Officer will execute 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.
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
Requirements
15+ years of progressive experience in data, analytics, or AI leadership, including 8+ years managing large, multi-disciplinary teams (50+ employees); 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
Nice to have
Advanced degree in Computer Science, Data Science, Engineering, or related field
Benefits
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; Paid time off (PTO)
Stany Zjednoczone · Dallas
