Assoc Director – Analytics, Decision Intelligence

AT&T

. Lead and develop multidisciplinary teams spanning business intelligence, analytics, applied data science, AI-enabled solutions, and front-end/product engineering .

Posted 10/28/2026full-timeAtlanta • Texas • United StatesLead💰 $171,000 - $287,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading multidisciplinary teams to deliver analytical products and insights, with a strong focus on AI, business intelligence, and cloud infrastructure. Capable of translating complex data into actionable solutions while fostering innovation and technical excellence.

Highest-signal resume keywords

Multidisciplinary Team LeadershipAI And Advanced AnalyticsBusiness Intelligence And VisualizationCloud Infrastructure ManagementAnalytical Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical AnalysisForecastingAnomaly DetectionPattern IdentificationAnalytical ApplicationsDashboards DevelopmentData VisualizationConversational AnalyticsDecision Intelligence

Soft Skills

CommunicationCollaborationStakeholder ManagementTalent DevelopmentCuriosity

Tools & Technologies

Microsoft AzureAWSMicrosoft Power BISnowflakeDatabricksAI AgentsMulti-Cloud EnvironmentsOperational Health ToolsIncident Management ToolsTechnology Lifecycle Management

Industry Keywords

FinOpsIT Infrastructure ManagementOperational PerformanceTechnology OperationsEnterprise Analytics

Tech Stack

Tools & technologies

AWSAzureCloudSnowflake

About the role

Key responsibilities & impact

Lead and develop multidisciplinary teams spanning business intelligence, analytics, applied data science, AI-enabled solutions, and front-end/product engineering
Partner with data and platform engineering teams to transform governed data, metrics, semantic capabilities, and APIs into accurate, traceable, trustworthy user-facing insights and experiences
Own strategy and delivery of analytical products, insights, and decision-support experiences focused on infrastructure, cloud, reliability, FinOps, technology lifecycle, and operational performance
Translate complex infrastructure and technology questions into meaningful analytics, visualizations, recommendations, and product capabilities with stakeholders
Lead development of dashboards, analytical applications, conversational experiences, and other tools for technical and executive users
Drive 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 curiosity, innovation, technical excellence, and measurable business impact

Requirements

What you’ll need

5+ years of experience in analytics, data science, software engineering, business intelligence, digital product development, technology leadership, or related fields; 10+ years preferred
Demonstrated experience leading multidisciplinary technical teams, developing talent, and delivering capabilities within complex enterprise environments
Strong understanding of modern analytics, business intelligence, visualization, and 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 their applications to analytics, knowledge discovery, decision-making, and user experiences
Strong product and customer orientation, with ability to translate ambiguous business or technology problems into prioritized, actionable solutions
Strong communication, collaboration, and stakeholder-management skills, including ability to explain complex analytical and technical concepts to senior and executive audiences
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
Familiarity with 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
Must not require employer sponsorship now or in the future

Benefits

Comp & perks

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