Associate Director of Technology – Customer Data Platform (CDP)

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

About AT&T:

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team 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.
 

About the Team and the Role:

The Platform Engineering team within the Consumer Technology eXperience (CTX) organization delivers reliable, scalable, and high-performance platforms and solutions across omnichannel. We adapt to customers' evolving needs by adhering to industry best practices, continuously enhancing our offerings, and embracing innovative technologies.
 

The Associate Director of Technology – Customer Data Platform (CDP) will oversee the strategy, architecture, development, and deployment of innovative technology solutions designed to enable marketing teams to deliver highly personalized, data-driven customer experiences. Focused on driving customer engagement and maximizing business impact, this role demands a strategic leader with a robust technical background, extensive expertise in Data Engineering, data pipeline orchestration, and Customer Data Platform (CDP), along with the ability to align technical initiatives seamlessly with marketing objectives and overarching business goals.
 

The ideal candidate will have a proven track record of managing high-performing engineering teams, driving innovation, and delivering scalable solutions that enhance marketing effectiveness and operational efficiency.

What You'll Do:

Strategic Planning and Vision

• Establish organization's Customer Data Platform (CDP) strategy, ensuring scalability, reliability, and security.
• Design the CDP architecture to unify customer data from multiple sources (e.g., web, mobile, CRM, transactional systems) into a centralized and actionable platform.
• Translate business requirements into technical deliverables and collaborate with marketing, analytics, and product teams to define use cases that align with strategic goals.
• Partner with analytics and data science teams to enable advanced analytics, machine learning, and real-time data applications.
• Work closely with stakeholders across departments to align strategies, priorities, and goals.
• Provide regular updates to leadership on CDP performance, project progress, risks, and opportunities for improvement.
   

Team Leadership and Development

• Build, manage, and mentor a team of engineers, fostering a culture of collaboration, innovation, and technical excellence.
• Set clear goals, performance metrics, and development plans for team members, conducting regular performance reviews and feedback sessions.
• Recruit and retain top talent to scale the team as the organization grows.
• Collaborate with cross-functional teams such as data science, analytics, marketing, product, and IT to align engineering efforts with business needs.
• Promote cross-functional collaboration to ensure alignment on data strategies and priorities.
• Lead by example, supporting team members in resolving technical and operational challenges.
• Create individual development plans to help team members grow professionally.
   

Technical Implementation and Execution

• Define and implement the architecture for the Customer Data Platform (CDP), ensuring scalability, reliability, and security while unifying customer data from multiple sources (e.g., web, mobile, CRM, transactional systems) into a centralized platform.
• Oversee the design and optimization of scalable ETL/ELT workflows to ingest, clean, transform, and store structured and unstructured data from diverse sources, ensuring efficient and reliable data processing.
• Integrate the CDP with Identity Graph to create unified and actionable customer profiles, and external tools such as marketing automation platforms, analytics tools, and CRM systems to enable data activation across channels (e.g., email, web personalization, advertising platforms).
• Leverage cloud services (e.g., AWS, Azure, GCP), modern tools for data storage, processing, and analytics to ensure the performance, reliability, and scalability of the data infrastructure.
• Drive the adoption of modern data architectures (e.g., data mesh, microservic