Kevin Pollard

About Kevin Pollard

At PNC, I currently lead the adoption of multi-cloud technologies, focusing on AWS and Azure, to enhance machine learning (ML), Generative AI (GenAI), and data engineering capabilities. My work includes establishing governance frameworks for compliance across cloud ecosystems, managing engineering teams, and collaborating with business leaders to develop cloud roadmaps and budgets that prioritize efficiency and cost control. My expertise in Natural Language Processing, TensorFlow, and TensorBoard supports my mission to design and operationalize scalable AI/ML solutions that address critical business challenges, such as fraud detection and advanced analytics. I am committed to fostering inclusive, high-performing teams and driving sustainable AI adoption through innovation and strategic partnerships.

Experience

1. SVP, Cloud Data and Genai Automation Technology

   PNC

   Jan 2025 — Present

   In this role at PNC, I spearhead the adoption of multi-cloud technologies, focusing on AWS and Azure to enhance machine learning and GenAI capabilities. I established governance frameworks that ensured compliance across cloud ecosystems while managing a skilled team of engineers. My efforts involve working with business leaders and IT partners in developing cloud roadmaps & budgets focused on optimizing AL/M, GenAI, and Data Engineering efficiencies while controlling cloud costs.Direct multi-cloud technology adoption across AWS and Azure to support ML/Ops, GenAI, & Data use cases.Established governance frameworks to support GenAI, ML, and Big Data compliance across cloud ecosystems.Manage & Build Team of Infrastructure Engineers, IAC Dev/OPs Engineers with subject matter expertise in Machine Learning, ML/OPs, & GenAI. Perform Annual Budgets and Forecasting in line with the Cloud Roadmap for AI/ML.Develop & Implement Architectures in a Multi-cloud Setting to enable proper data governance, data security controls, auditing and compliance capabilities for GenAI, ML, and Big Data Engineering.Heading up AWS Platform Engineering in AWS supporting AntiMoney Laundering (AML) and Fraud ML/OPs leveraging AWS SageMaker, AWS EMR Serverless, AWS Glue, AWS Lake Formation. Heading up Azure Platform Engineering in Azure supporting Agentic AI and Advanced Azure GenAI Search using Azure Foundry, Azure OpenAI, Azure CoPilot, Azure Doc Intelligence, Azure Blob Storage.Provide FinOps and Cost Mgmt. Services to Report Upon and control Costs associate with GenAI, ML, and Big Data Engineering workloads. Operate Cloud Workload Environments via Observability Dashboards with KPIS that measure Infrastructure Health, Usage, Security, and Consumption Cost, and Vulnerability Risk.

Education

• PennWest Edinboro

  BS, Business Administration, Minors: Economics and Mathematics

  1989 — 1993

• Syracuse University School of Information Studies

  MS Management Information Systems + CAS Data Science, Computer and Information Sciences