Assoc Director: Analytics & Decision Intelligence

AT&T

Alpharetta (GA)

On-site

USD 171,000 - 287,000

Full time

5 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits (short term and 1/

Life and Accidental Death Insurance

Employee discounts up to 50% off on AT

Job summary

AT&T is seeking an Assoc Director of Analytics and Decision Intelligence to lead cross-functional teams delivering analytics products and AI-enabled decision-support for infrastructure and cloud operations. The role emphasizes translating complex technical challenges into actionable insights and driving adoption of advanced analytics across enterprise teams.

The position is onsite at multiple locations including Atlanta, GA and surrounding facilities, with a focus on reliability, FinOps, and

Qualifications

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, BI, 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.

Responsibilities

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.