below marketmost similar roles pay hereabove market
This role pays more than
56%
of similar roles. Most pay
$188,760–$267,179
— the blue band above.
At the midpoint, this role pays about
$229k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About AT&T
AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.
AT&T currently has
93 open roles
on FindRole.
Listed pay typically runs
$98,100–$196,000
across 83 roles with salary data.
The Assoc Director - Analytics And Decision Intelligence joins the Analytics & Decision Intelligence team to transform enterprise data into meaningful insights. This role involves leading multidisciplinary teams across business intelligence, applied data science, AI-enabled solutions, and front-end engineering. You will own the strategy for analytical products, translating complex infrastructure questions into intuitive dashboards, conversational experiences, and visualizations. Key responsibilities include partnering with platform engineering to develop traceable insights and driving the adoption of advanced analytics to identify operational risks. Required expertise includes experience with multi-cloud environments like Microsoft Azure and AWS, alongside analytical platforms such as Microsoft Power BI, Fabric, Snowflake, and Databricks. You must possess skills in generative AI, statistical analysis, and anomaly detection to solve problems regarding cloud cost, reliability, and technology lifecycles.
Lead and develop multidisciplinary teams across business intelligence, data science, AI, and product engineering.
Partner with engineering teams to transform governed data and APIs into trustworthy user-facing insights.
Own the strategy and delivery of analytical products for infrastructure, cloud, and FinOps.
Translate complex technology questions into meaningful visualizations, recommendations, and product capabilities for stakeholders.
Lead the development of intuitive dashboards, analytical applications, and conversational experiences for technical and executive users.
Drive the adoption of AI and advanced analytics to identify trends, risks, and operational drivers.
Manage organizational priorities, roadmaps, and talent development to ensure measurable business impact.
What we're looking for
5+ years of experience in analytics, data science, software engineering, business intelligence, digital product development, technology leadership, or related fields.
10+ years of experience in analytics, data science, software engineering, business intelligence, digital product development, technology leadership, or related fields (preferred).
Demonstrated experience leading multidisciplinary technical teams and developing talent 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, and pattern identification.
Understanding of modern AI and generative AI to support analytics, knowledge discovery, and decision-making.
Experience in IT infrastructure management, cloud infrastructure, or technology operations, including reliability, FinOps, and incident management.
Bachelor’s degree in Computer Science, Data Science, Analytics, Engineering, Information Systems, or a related technical field (preferred).
Business Intelligence
Data Science
Artificial Intelligence
Generative AI
Microsoft Power BI
Fabric
Snowflake
Databricks
AWS
Microsoft Azure
Multi-cloud
FinOps
Data Visualization
APIs
Statistical Analysis
Anomaly Detection
Product Engineering
Business Intelligence
Data Science
Artificial Intelligence
Generative AI
Microsoft Power BI
Fabric
Snowflake
Databricks
AWS
Microsoft Azure
Multi-cloud
FinOps
Data Visualization
APIs
Statistical Analysis
Anomaly Detection
Product Engineering
Business Intelligence
Data Science
Artificial Intelligence
Generative AI
AWS
Microsoft Azure
Snowflake
Databricks
Microsoft Power BI
Fabric
FinOps
Multi-cloud
Data Visualization
APIs
Statistical Analysis
Anomaly Detection
Incident Management
AWS
Azure
Snowflake
Databricks
GenAI
LLM
Master Data Management
Data Governance
API
GxP
TOGAF
DAMA CDMP
PMP
Data Catalog
Data Engineering
Data Architecture