Assoc Director - Analytics And Decision Intelligence

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.

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 Fin Ops, technology lifecycle and end‑of‑service‑life (EOSL), incident management, capacity, and other infrastructure‑related risks and opportunities.

• 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, Fin Ops, 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.

• 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.

• Experience leading enterprise analytics, business intelligence, AI, decision intelligence, data science, or digital product organizations.
• Experience in IT…