Director of Engineering - Data and Analytics Platform

$191,400 - $287,200/Yr

AT&T - Dallas, TX

Full-time - Senior

Dallas, TX

10,001+ employees

Telecommunications

About the position

The Director of Engineering - Data and Analytics Platform at AT&T is responsible for leading the development and execution of a comprehensive data strategy that aligns with the company's long-term objectives. This role focuses on transforming the Data and Analytics platform, enhancing capabilities in advanced analytics and AI, and promoting a data-first mindset across the organization. The ideal candidate will have extensive experience in data architecture, analytics, and business intelligence, and will lead a high-performing team to implement best practices in data management and analytics.

Responsibilities

• Develop and communicate a clear vision and strategy for data and analytics, ensuring alignment with the company's long-term strategic objectives.
• Own the end-to-end execution of the data strategy, from data acquisition to data visualization, ensuring alignment with the broader company vision.
• Drive the technology strategy, end-to-end architecture, and roadmaps aligned with business and platform needs required to deliver the necessary infrastructure, services, and solutions.
• Drive cross-functional innovation and influence the broader organizational strategy through data-driven insights and initiatives.
• Responsible for leading technology initiatives and implement best practices related to Data Analytics and Engineering, Data Observability, Infrastructure operations, and AI capabilities.
• Oversee the design, implementation, and management of scalable data architectures and pipelines, driving the creation and deployment of new data models and analytics tools in production.
• Attract, lead, and mentor a high-performing team of technology and product leaders, software engineers, data scientists, data analysts, and product management professionals.
• Collaborate closely with cross-functional teams, including Product, Engineering, Marketing, Finance, Operations, and other teams across the organizations ensure technology and data strategies align with business goals.
• Develop policies and procedures for data management, access, and usage across the organization to ensure data quality, security, and compliance with regulatory requirements.
• Build data literacy programs and promote a data-centric culture, emphasizing the value of data-driven decision-making across the organization.
• Implement automation and process improvements to increase the efficiency and scalability of data operations.
• Define and manage Service Level Agreements (SLAs) for all production systems and data sets, ensuring 24x7 support.

Requirements

• Over 15 years of experience in technology organizations, including 8+ years of building and leading technical teams across engineering, product management, data science, and data analysis functions.
• Over 10 years of experience building large-scale data analytics platforms using real-time streaming analytics, data warehouse, data lakes, Data Pipelines, ETL processes, and business intelligence tools at scale in both public and private cloud environments.
• Proficient in technologies such as Software Architecture and Design, Java, NodeJS, Microservices, Snowflake, Kafka, SQL, No-SQL databases, Tableau, and related tools.
• Extensive experience with advanced analytics, machine learning models, and data science techniques, including the development and deployment of data pipelines and algorithms for predictive and prescriptive analytics.
• Demonstrated experience in shaping technical vision, reviewing data architectures, and utilizing data frameworks and tools across the stack.
• Proficient in designing and implementing solutions from inception to production and ongoing support.
• Strong communicator with excellent written and verbal communication skills.
• Strong analytical, problem-solving, and decision-making skills, with the ability to translate complex requirements into effective technical solutions.

Nice-to-haves

• Experience with Azure cloud services is highly desired, further enhancing proficiency in cloud-based technologies and solutions.
• Experience with Adobe Analytics or Adobe Customer Journey Analytics or similar analytics platforms is highly desirable.

Benefits

• 401(k)
• Caregiver leave
• Dental insurance
• Employee assistance program
• Employee discount
• Health insurance
• Paid holidays
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Extensive employee wellness programs