Linda Devenney
Linda Devenney has worked in roles spanning data architecture, data analysis, and data engineering in the financial services industry for the past 26 years. In her current role in Fidelity as VP Data Architecture, she is responsible for developing Fidelity’s Enterprise AI/ML Data Strategy. This strategy focuses on providing enterprise data architecture guidelines and best practices on how data should be managed within the AI/ML lifecycle phases of Model Development and Model Operationalization. As an advocate for data, she is actively involved in learning and development across the organization. Linda regularly delivers training and knowledge-sharing sessions to associates and provides mentorship to associates interested in advancing their career in data architecture. Outside of work, she’s passionate about tennis and tries to use her analytical skills to predict the Grand Slam Winners with little success.
