Associate Director - Digital Technology Lead
AT&TAbout the role
Associate Director - Digital Technology Lead
About the role:
This role requires experience implementing AI, AI-MCP. Artificial Intelligence is the focus along with both front and back-end development. Experience with the following technologies are also a must: React, Next.js, GraphQL, Java, Redis, noSQL databases, Kafka, CDN (ex: Akamai), AI tools, AI-MCP, and public cloud platforms (Azure, GCP, AWS). Deep knowledge of full-stack application development using React/Next.js, GraphQL, and Java. Experience implementing and leveraging AI tools in production environments.
This role directs and manages Web engineering teams responsible for designing, developing, testing, and launching both new and existing consumer product features. The ideal candidate has at least 10+ years managing full-stack software engineering teams.
Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology Experience team (CTX) is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future—you’ll create it.
Leadership & Management Responsibilities:
- Lead and Inspire: Direct and manage Web engineering teams responsible for designing, developing, testing, and launching both new and existing consumer product features.
- Operational Excellence: Champion high standards for quality, reliability, usability, and security across engineering practices and delivered products.
- Grow Future Leaders: Cultivate the next generation of engineering leadership, fostering a culture of high performance, innovation, collaboration, and continuous improvement.
- Performance Management: Ensure teams consistently follow engineering best practices, align with organizational OKRs, and track key KPIs such as delivery velocity, quality, and system health.
- Process Optimization: Establish, optimize, and standardize engineering workflows, driving continuous improvement in efficiency, productivity, and product quality.
Development & Execution:
- Hands-On Technical Leadership: Actively participate in prototyping, researching, and coding scalable, consumer-facing systems.
- Technology Advancement: Continuously evaluate and advocate for cutting-edge tools and technologies to enhance engineering efficiency, productivity, and future readiness.
- Full Stack Contribution: Contribute to development across the entire stack, including Frontend (React.js, Next.js) and Backend (BFF) with Java, JavaScript, REST, GraphQL, and Node.js.
- Quality Assurance: Participate in code reviews, operational reviews, technical discussions, and troubleshooting sessions to uphold the highest development standards.
- Technical Mentorship: Elevate the technical expertise of the organization by actively coaching, mentoring, and setting high standards for technical excellence and architectural rigor.
To Succeed in This Role, You Should Have:
- Experience with technologies such as React, Next.js, GraphQL, Java, Redis, noSQL databases, Kafka, CDN (ex: Akamai), AI tools, and public cloud platforms (Azure, GCP, AWS).
- Deep knowledge of full-stack application development using React/Next.js, GraphQL, and Java.
- Prior hands-on engineering experience, with a strong empathy for developers and a drive to promote engineering happiness and productivity.
- Experience implementing and leveraging AI tools in production environments.
- A track record of operational excellence, demonstrated through management of code quality, code reviews, test coverage, and automation.
Preferred Qualifications and Experience:
- Bachelor’s degree in computer science with 12+ years of software engineering experience, or a master's degree with 10+ years of relevant experience.
- Background in software design, development, and large-scale system engineering.
- Experience implementing AI solutions and familiarity with test automation frameworks and technologies.
- Understanding cloud infrastructure and design solutions for Azure and Google Cloud Platform.
- Proven ability to engage in technical design and architectural discussions.
- Commitment to ensuring team satisfaction and productivity.
- Ability to help mitigate risks (technical, product, personnel) and participate in engineering workgr
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