AT&T
Associate Director of Technology – Customer Data Platform (CDP)
AT&T, Dallas, Texas, United States, 75215
Associate Director of Technology – Customer Data Platform (CDP)
Base pay range: $174,100/yr - $261,100/yr
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.
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
Establish organization\'s 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 CDP, ensuring scalability, reliability, and security while unifying customer data from multiple sources 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 with external tools such as marketing automation platforms, analytics tools, and CRM systems to enable data activation across channels.
Leverage cloud services (e.g., AWS, Azure, GCP) and modern tools for data storage, processing, and analytics to ensure performance, reliability, and scalability of the data infrastructure.
Drive the adoption of modern data architectures (e.g., data mesh, microservices, or serverless) and implement containerized and serverless solutions (e.g., Kubernetes, Lambda).
Establish and enforce data governance best practices, ensuring compliance with data privacy regulations such as GDPR, and CCPA.
Implement data security measures, including encryption, access controls, and monitoring, to protect sensitive customer data.
Define and enforce best practices for data validation, cleaning, and transformation to maintain high-quality customer data.
Provide actionable insights through reporting on CDP performance, highlighting achievements, risks, and opportunities for improvement.
Define and manage Service Level Agreements (SLAs) for production systems to ensure 24x7 support.
Innovation and Continuous Improvement
Drive automation and efficiency in data workflows, reducing processing times, improving scalability, and lowering costs.
Continuously evaluate and adopt new technologies to enhance platform capabilities and maintain a competitive edge.
Experiment with tools like machine learning for predictive analytics and AI for automated customer segmentation.
Promote a culture of learning within the team, encouraging experimentation with new methodologies and technologies.
What You'll Bring Experience and Background
12+ years of experience in technology organizations, including 4+ years leading and scaling Data Engineering teams to deliver high-performance data solutions.
8+ years of expertise in architecting and building large-scale Data Platforms, leveraging Data Warehouses, Data Lakes, ETL/ELT pipelines, and Data Analytics workflows to support business intelligence at scale across public and private cloud environments.
3+ years of hands-on experience in developing Customer Data Platforms (CDPs) and deep understanding of identity resolution, customer profile unification to enable MarTech ecosystems and personalized customer experiences.
Demonstrated ability to shape technical vision, design robust data architectures, and implement scalable solutions using modern data frameworks and tools.
Proficient in delivering end-to-end solutions, from conceptualization and production deployment to ongoing operational support.
Leadership and Strategic Skills
Demonstrated exceptional leadership and team-building abilities, with a proven track record of managing high-performing engineering teams and overseeing other managers.
Adept at fostering a collaborative and innovative work environment, driving team performance, and achieving organizational goals.
Strong strategic thinking and problem-solving abilities, with a focus on delivering business value.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
Proven ability to manage multiple priorities in a fast-paced, dynamic environment.
Technical Skills and Proficiency
Expertise in designing and implementing scalable data architectures, including data warehouses, data lakes, and data meshes, built on strong data engineering principles and best practices for high-performance systems.
Extensive experience in ETL/ELT workflows for real-time and batch data ingestion, leveraging tools such as Apache Airflow, Talend, and Informatica.
Proficient in utilizing cloud platforms such as Azure, AWS, and Data Cloud solutions like Snowflake for scalable data processing, storage, and analytics.
Hands-on experience with distributed systems and big data technologies such as Apache Spark, Kafka, and Flink, with programming in Python, SQL, Java, and SQL/NoSQL databases.
Deep understanding of CDPs, including identity resolution and customer profile unification, with experience in tools like Adobe CDP, Segment, and Salesforce CDP. Skilled in integrating CDPs with third-party tools using APIs.
Strong familiarity with data privacy regulations (e.g., GDPR, CCPA) and proven experience in implementing role-based access controls, encryption, and monitoring for sensitive data protection.
Expertise in DevOps practices, containerization (e.g., Docker), and CI/CD pipelines for automating and optimizing data workflows.
Experienced in implementing business intelligence systems to streamline KPI reporting, improve data visualization, and enable real-time decision-making.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
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
Location: USA:TX:Dallas / Two AT&T Plaza (211 S Akard St)
Hours: Weekly Hours 40 • Time Type: Regular
Salary Range: $174,100.00 - $261,100.00
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
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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.
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
Establish organization\'s 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 CDP, ensuring scalability, reliability, and security while unifying customer data from multiple sources 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 with external tools such as marketing automation platforms, analytics tools, and CRM systems to enable data activation across channels.
Leverage cloud services (e.g., AWS, Azure, GCP) and modern tools for data storage, processing, and analytics to ensure performance, reliability, and scalability of the data infrastructure.
Drive the adoption of modern data architectures (e.g., data mesh, microservices, or serverless) and implement containerized and serverless solutions (e.g., Kubernetes, Lambda).
Establish and enforce data governance best practices, ensuring compliance with data privacy regulations such as GDPR, and CCPA.
Implement data security measures, including encryption, access controls, and monitoring, to protect sensitive customer data.
Define and enforce best practices for data validation, cleaning, and transformation to maintain high-quality customer data.
Provide actionable insights through reporting on CDP performance, highlighting achievements, risks, and opportunities for improvement.
Define and manage Service Level Agreements (SLAs) for production systems to ensure 24x7 support.
Innovation and Continuous Improvement
Drive automation and efficiency in data workflows, reducing processing times, improving scalability, and lowering costs.
Continuously evaluate and adopt new technologies to enhance platform capabilities and maintain a competitive edge.
Experiment with tools like machine learning for predictive analytics and AI for automated customer segmentation.
Promote a culture of learning within the team, encouraging experimentation with new methodologies and technologies.
What You'll Bring Experience and Background
12+ years of experience in technology organizations, including 4+ years leading and scaling Data Engineering teams to deliver high-performance data solutions.
8+ years of expertise in architecting and building large-scale Data Platforms, leveraging Data Warehouses, Data Lakes, ETL/ELT pipelines, and Data Analytics workflows to support business intelligence at scale across public and private cloud environments.
3+ years of hands-on experience in developing Customer Data Platforms (CDPs) and deep understanding of identity resolution, customer profile unification to enable MarTech ecosystems and personalized customer experiences.
Demonstrated ability to shape technical vision, design robust data architectures, and implement scalable solutions using modern data frameworks and tools.
Proficient in delivering end-to-end solutions, from conceptualization and production deployment to ongoing operational support.
Leadership and Strategic Skills
Demonstrated exceptional leadership and team-building abilities, with a proven track record of managing high-performing engineering teams and overseeing other managers.
Adept at fostering a collaborative and innovative work environment, driving team performance, and achieving organizational goals.
Strong strategic thinking and problem-solving abilities, with a focus on delivering business value.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
Proven ability to manage multiple priorities in a fast-paced, dynamic environment.
Technical Skills and Proficiency
Expertise in designing and implementing scalable data architectures, including data warehouses, data lakes, and data meshes, built on strong data engineering principles and best practices for high-performance systems.
Extensive experience in ETL/ELT workflows for real-time and batch data ingestion, leveraging tools such as Apache Airflow, Talend, and Informatica.
Proficient in utilizing cloud platforms such as Azure, AWS, and Data Cloud solutions like Snowflake for scalable data processing, storage, and analytics.
Hands-on experience with distributed systems and big data technologies such as Apache Spark, Kafka, and Flink, with programming in Python, SQL, Java, and SQL/NoSQL databases.
Deep understanding of CDPs, including identity resolution and customer profile unification, with experience in tools like Adobe CDP, Segment, and Salesforce CDP. Skilled in integrating CDPs with third-party tools using APIs.
Strong familiarity with data privacy regulations (e.g., GDPR, CCPA) and proven experience in implementing role-based access controls, encryption, and monitoring for sensitive data protection.
Expertise in DevOps practices, containerization (e.g., Docker), and CI/CD pipelines for automating and optimizing data workflows.
Experienced in implementing business intelligence systems to streamline KPI reporting, improve data visualization, and enable real-time decision-making.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
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
Location: USA:TX:Dallas / Two AT&T Plaza (211 S Akard St)
Hours: Weekly Hours 40 • Time Type: Regular
Salary Range: $174,100.00 - $261,100.00
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
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