This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.
What We Do
Our organization brings together data, analytics, artificial intelligence, and technology to help leaders and teams better understand complex infrastructure environments and make informed decisions.
The Analytics & Decision Intelligence team transforms trusted enterprise data into meaningful insights and intuitive experiences. Our work spans business intelligence, advanced analytics, applied data science, AI-enabled decision support, visualization, and modern digital experiences, with a focus on infrastructure across multi-cloud and hybrid environments. We help users understand areas such as reliability and operational health, cloud cost and FinOps, technology lifecycle and end-of-service-life (EOSL), incident management, capacity, and other infrastructure-related risks and opportunities.
What You’ll Do
- Lead and develop multidisciplinary teams spanning business intelligence, analytics, applied data science, AI-enabled solutions, and front-end/product engineering.
- Partner closely with data and platform engineering teams within the organization to transform governed data, metrics, semantic capabilities, and APIs into accurate, traceable, and trustworthy user-facing insights and experiences.
- Own the strategy and delivery of analytical products, insights, and decision-support experiences focused on infrastructure, cloud, reliability, FinOps, technology lifecycle, and operational performance.
- Partner with stakeholders to translate complex infrastructure and technology questions into meaningful analytics, visualizations, recommendations, and product capabilities.
- Lead development of intuitive dashboards, analytical applications, conversational experiences, and other ways for technical and executive users to explore and understand complex information.
- Drive practical adoption of AI and advanced analytics to identify trends, anomalies, risks, opportunities, and drivers that improve technology and operational decision-making.
- Lead organizational priorities, roadmaps, talent development, and delivery while fostering a culture of curiosity, innovation, technical excellence, and measurable business impact.
What You’ll Need
- 5+ years of experience in analytics, data science, software engineering, business intelligence, digital product development, technology leadership, or related fields. Prefer 10+ years.
- Demonstrated experience leading multidisciplinary technical teams, developing talent, and delivering capabilities within complex enterprise environments.
- Strong understanding of modern analytics, business intelligence, visualization, and the design of effective data-driven user experiences.
- Working knowledge of applied data science, including statistical analysis, forecasting, anomaly detection, pattern identification, or related analytical methods.
- Understanding of modern AI and generative AI and how these technologies can support analytics, knowledge discovery, decision-making, and user experiences.
- Strong product and customer orientation, with demonstrated ability to translate ambiguous business or technology problems into prioritized, actionable solutions.
- Strong communication, collaboration, and stakeholder-management skills, including the ability to explain complex analytical and technical concepts to senior and executive audiences.
What You’ll Bring
- Experience leading enterprise analytics, business intelligence, AI, decision intelligence, data science, or digital product organizations.
- Experience in IT infrastructure management, cloud infrastructure, technology operations, or a related infrastructure domain, with familiarity in areas such as reliability, FinOps, technology lifecycle/EOSL, incident management, capacity, or operational health.
- Experience with multi-cloud environments and platforms such as Microsoft Azure, AWS, and related enterprise infrastructure and analytics ecosystems.
- Experience with analytical platforms such as Microsoft Power BI/Fabric, Snowflake, Databricks, or comparable enterprise technologies.
- Experience designing analytical products for executive and technical audiences and translating complex operational data into clear, actionable insights.
- Experience with generative AI, conversational analytics, natural-language data experiences, AI agents, data visualization, or modern analytical user experiences.
- Bachelor’s degree in Computer Science, Data Science, Analytics, Engineering, Information Systems, or a related technical field desired
#LI-Onsite Full-time office role.
Ready to join our team?
Apply today.
Our Assoc Director-Technology II jobs earn between $171,000.00 - $287,200.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated 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
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia, Dallas, Texas, Plano, Texas, USA:GA:Alpharetta / 500 North Point Pkwy - Adm (owned):500 North Point Pkwy
Salary Range:
$171,000.00 - $287,200.00
