Gregory Page
Head of Data Ai & Platform Engineering @ACN
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WORK HISTORY
Head of Data Ai & Platform Engineering @ACN
Charlotte, NC, US
Technology Tools & Capabilities (actively leveraged)– AWS IaC/Cloud Platform (primary), MS Azure, SalesForce.com, Crowd Strike, Terraform, UiPath, Playwright, Cursor, Claude Code, ChatGPT, GitLab, Grafana, Prometheus/Loki, Open Telemetry, Jira, Splunk, Airflow, Serverless & Kubernetes (containers).In 2025, migrated from on-prem, self-hosted to AWS Cloud. Architected the NexGen platform initiatives.In 2026, transformation of tools, SaaS, front-end customer portals, backend ops, Robust Observability with OS tools, QA shift left to development & reorg of PMO leveraging Jira & Confluence. My team & I are responsible & accountable. My team consists of FTEs and Contractors in 6 countries->Software Devs, QA, DB Admin, SRE, Architects, DevOps, Cloud Engineers, Security & PMO.The strategic objective, which I\'m accountable, is to transform a 30-yr, customized, monolithic platform to a NexGen AWS hosted, OS tooling, process optimized, KPI driven, AI governed platform->Software Developers, DevOps, SRE, QA, Architects, PMO, Operations, DBAs & Analysts.
EDUCATION
Georgia State University - J. Mack Robinson College of Business
Executive MBA, Business Administration and Management, General
Harvard Business School
Master's Certificate, Business, Management, Marketing, and Related Support Services
SKILLS
ABOUT GREGORY PAGE
Technology & Business Leader | Chief Technology Officer | Chief Data Officer | Chief Information OfficerAI Adoption | Platform Engineering | Cloud & Data Platforms | Digital TransformationTechnology executive with 25 years of experience leading enterprise-scale platform engineering, data platforms, AI adoption, and cloud modernization across global, high-growth, and regulated environments. I operate at the intersection of business strategy, data, AI, and next-generation cloud platforms, translating executive vision into scalable, secure, and high-impact technology outcomes.I specialize in building and modernizing cloud-native platforms on AWS, Azure, and multi-cloud architectures—moving organizations from legacy, monolithic systems to Infrastructure-as-Code, Kubernetes-based, highly observable, AI-enabled platforms. My work consistently focuses on platform leverage: reducing complexity, accelerating delivery, and enabling teams to move faster with higher reliability and lower cost.A core focus of my leadership is enterprise AI adoption—not experimentation. I have led the design and governance of data platforms, AI/ML platforms, MLOps, Agentic AI, and Generative AI capabilities, enabling intelligent automation, AI-augmented engineering, and data-driven decision-making at scale. I am deeply experienced in Responsible AI, AI governance, and operating model change, ensuring AI delivers durable business value.I have built and led global engineering organizations ranging from 10 to spanning platform engineering, software development, data engineering, DevOps/SRE, cybersecurity, and cloud architecture. My background includes P&L ownership, large-scale transformation programs, and executive-level stakeholder partnership, including close collaboration with CEOs, CIOs, CDOs, product leaders, and boards.
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