Director, Technology – AI Engineering Transformation

This position requires office presence of a minimum of 5 days per week and is only located in Dallas, TX. No relocation is offered.

About the Role

We are seeking a Director, Technology to lead the transformation of our software delivery organization through AI-accelerated engineering practices, modern DevOps platforms, and developer experience (DevEx) innovation. This leader will oversee cross-functional teams spanning DevOps/SRE, Developer Tooling, and Automation Engineering while driving enterprise-wide adoption of AI-assisted software development. This highly visible role requires a blend of technical expertise, organizational leadership, and change management experience to modernize how software is built, tested, deployed, and operated across the enterprise.

Responsibilities

• Lead the strategy and execution of AI-accelerated software development and delivery across engineering teams.
• Drive adoption of AI-assisted development tools, agentic workflows, and modern engineering practices to improve developer productivity and software quality.
• Manage and develop teams responsible for DevOps, SRE, developer tooling, release engineering, and automation platforms.
• Establish governance, security controls, and best practices for AI-enabled software development.
• Own the engineering toolchain, including CI/CD, code quality, release automation, and cloud-native platform capabilities.
• Define and measure engineering effectiveness through DORA metrics, DevEx indicators, platform reliability, and operational performance.
• Partner with product, architecture, security, and business leaders to align technology investments with enterprise goals.
• Lead executive communications, business case development, and organizational change initiatives supporting engineering modernization.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• 8+ years of progressive technology leadership experience, including leading software engineering, platform engineering, or DevOps organizations.
• 3+ years managing teams focused on SDLC automation, platform engineering, release engineering, or digital product delivery.
• Hands-on experience with cloud-native technologies, Kubernetes, and public cloud platforms (AWS, Azure, or GCP).
• Expertise implementing CI/CD pipelines, Infrastructure as Code (Terraform), and modern software delivery practices.
• Experience deploying and scaling AI-assisted development tools such as GitHub Copilot, Cursor, or similar AI coding platforms.
• Proven success leading enterprise-scale technology transformations and driving measurable improvements in delivery performance.
• Strong knowledge of platform reliability, observability, security, compliance, and operational excellence.

Skills

• Deep technical expertise in modern application architectures, DevOps, SRE, and software engineering best practices.
• Strong understanding of AI-native development workflows, automation, and engineering productivity platforms.
• Experience with developer tooling ecosystems including GitHub, Jira, SonarQube, Artifactory, Backstage, LaunchDarkly, or similar platforms.
• Exceptional communication and executive storytelling skills with the ability to translate technical strategy into business outcomes.
• Demonstrated success leading organizational change and driving adoption across large engineering organizations.
• Strong talent leadership, including hiring, coaching, and developing high-performing engineering teams.
• A data-driven approach to improving engineering velocity, platform reliability, and developer experience.
• Passion for innovation and building modern engineering organizations capable of delivering at enterprise scale.

What Success Looks Like

• AI-assisted development becomes a core capability across engineering teams, driving measurable improvements in productivity and delivery speed.
• Engineering teams consistently deliver secure, reliable, and scalable software through modern automated delivery practices.
• Developer experience improves through streamlined tooling, reduced friction, and increased automation.
• Platform reliability, operational transparency, and delivery performance improve across the organization.
• Executive stakeholders understand and support the engineering transformation roadmap through clear business value and measurable outcomes.

Pay

Salary range: $210,600.00 - $316,000.00 USD Annual. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
• Long Term Grants and Deferred Compensation
• Paid Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays)

Schedule

• Weekly Hours: 40
• Time Type: Regular