Senior Director, Data Architecture & AI Toolkit

Who We Are

Farm Credit Bank of Texas is a $42.2 billion wholesale bank that has been financing agriculture and rural America for over 100 years. Headquartered in Austin, Texas, we provide funding and services to rural lending associations in five states, and we are active in the nation's capital markets.

Farm Credit Bank of Texas is a $42.2 billion wholesale bank that has been financing agriculture and rural America for over 100 years. Headquartered in Austin, Texas, we provide funding and services to rural lending associations in five states, and we are active in the nation's capital markets.

While you may not be familiar with our name, Farm Credit Bank of Texas plays a critical role in supporting the businesses that make it possible for America to maintain access to an affordable and safe food supply, an industry which is one of the most innovative and evolving of our time. And while you help us deliver on our mission, we deliver on our commitment to you as a valued employee by providing competitive compensation, generous health and wellness benefits packages and an attractive workplace located along the bluffs of the Colorado River just minutes west of downtown Austin.

We seek out top talent in their fields, whether it be technology, finance, accounting, credit, human resources, or other administrative functions, and welcome you to join us in our mission to feed the world.

The Senior Director, Data Architecture & AI Toolkit is responsible for defining, governing, and advancing the Bank's enterprise data, analytics, and AI platform strategy. This leadership role serves as the organization's senior authority on data architecture, ensuring data platforms, analytics capabilities, AI solutions, and architectural standards are scalable, secure, interoperable, and aligned with long-term business objectives. Working closely with business and technology leaders, the Senior Director establishes the vision, strategy, and roadmap for enterprise data platforms, analytics capabilities, and AI-enabled solutions.

The role bridges business strategy, technology execution, governance, and innovation, helping the organization maximize the value of its data assets while supporting regulatory, security, and operational requirements. The position also leads the Bank's AI Toolkit strategy, developing reusable AI-powered capabilities, intelligent development accelerators, automation tools, and machine learning solutions that improve productivity, scalability, and effectiveness across the enterprise data ecosystem.

Operating with a high degree of strategic influence and technical leadership, the Senior Director partners across business units to modernize data platforms, improve decision-making capabilities, and advance the Bank's long-term data and AI initiatives.

• Define and lead the enterprise data, analytics, and AI architecture vision, principles, standards, and long-term technology roadmap.
• Establish and govern architectural standards, reference architectures, design patterns, and best practices across data engineering, analytics, data integration, and AI platforms.
• Partner with executive leadership, business stakeholders, and technology teams to translate strategic objectives into scalable data and analytics solutions.
• Lead architecture decisions related to cloud data platforms, data warehouses, lake houses, analytics environments, and emerging technologies.
• Ensure enterprise architecture supports data quality, governance, metadata management, lineage, security, privacy, and regulatory compliance requirements.
• Oversee the design and evolution of enterprise data platforms, including data warehouses, data lakes, lake houses, semantic models, integration frameworks, and analytics layers.
• Develop and advance the Bank's AI Toolkit strategy, including reusable AI services, machine learning accelerators, developer productivity tools, and intelligent automation capabilities.
• Guide modernization efforts that improve scalability, reduce complexity, enhance performance, and create operational efficiencies across the data ecosystem.
• Lead architecture governance reviews and provide oversight for major data, analytics, and AI initiatives.
• Evaluate emerging technologies and recommend innovative solutions that improve data management, analytics capabilities, and business outcomes.
• Define data architecture strategies supporting enterprise reporting, business intelligence, advanced analytics, and…