Assoc Director - Analytics And Decision Intelligence

AT&T Mobility Services; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

AT&T Mobility Services is seeking a leader to head analytics and data science initiatives in a large enterprise environment. The role focuses on delivering insights, dashboards, and AI-enabled decision support across infrastructure, cloud, reliability, and FinOps.

You will guide multidisciplinary teams, partner with data and platform engineering, and drive productized analytics that empower senior leaders and technical users alike.

Qualifications

• 5+ years of experience leading analytics, data science, BI, or digital product teams in complex environments.
• Experience translating business questions into analytics strategy and roadmaps.
• Strong ability to translate analytics into actionable insights for executives.

Responsibilities

• Lead and develop multidisciplinary teams across BI, analytics, AI, and data science.
• Partner with data/platform teams to transform governed data into trusted insights and APIs for users.
• Own strategy and delivery of analytical products and dashboards for infrastructure, cloud, and FinOps topics.
• Translate complex infrastructure questions into meaningful analytics, visuals, and recommendations.
• Lead development of dashboards, analytical apps, and other user-facing analytics experiences.
• Drive adoption of AI and advanced analytics to improve decision-making.

Skills

Analytics Leadership

Data Science

Business Intelligence

AI & ML

Product Leadership

Stakeholder Mgmt

Multi-cloud

Tools

Microsoft Azure

AWS

Power BI/Fabric

Snowflake

Databricks

Job description

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.

Join AT&T and reimagine the communications and technologies that connect the world. The Technology Services organization is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won't just imagine the future, you'll create it.

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 p