Kelly Dowd
AVP, Data Science & Applied AI at AT&T
- Role
- AVP - Data Science at AT&T
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Kelly Dowd
AI and data science executive leading the development and deployment of production AI systems across corporate and customer operations at AT & T. Responsible for moving AI from experimentation to embedded, operational workflows supporting HR, Legal, Privacy & Compliance, AT & T Mexico, External & Legislative Affairs, and Customer Care.Specialize in applied AI - translating emerging capabilities like agentic systems, GenAI copilots, and knowledge automation into solutions that integrate with real business processes, governance, risk, & compliance requirements, and existing technology ecosystems. Known for aligning business leaders, product teams, engineers, and risk partners to ensure AI initiatives are not just built, but adopted and sustained.Lead global teams of data scientists and AI engineers focused on shipping reliable, enterprise-scale AI. Operate across the full lifecycle of AI transformation: strategy, use case prioritization, product development, adoption enablement, and benefit realization - with an emphasis on systems that improve decision-making, employee productivity, and customer experience at scale.
Experience
AVP - Data Science
Feb 2025 — Present
Lead a global organization of 100+ data scientists and AI engineers responsible for the development and deployment of production AI systems across corporate and customer operations, moving AI from pilot experimentation into scaled, embedded workflows supporting HR, Legal, Privacy & Compliance, External & Legislative Affairs, AT & T Mexico, Customer Care, and FirstNet.Own AI portfolio strategy, use case prioritization, product delivery, adoption enablement, and governance alignment to ensure solutions are scalable, trusted, and used in daily business workflows.
Education
St. Mary's University
Bachelor of Business Administration - BBA, Marketing and Information Systems Management
2005 — 2010
Southern Methodist University
Master of Science, Information Engineering and Management
2012 — 2014
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