EY Executive Says Engineering Roles Are Converging

Dan Diasio, identified by Business Insider as EY's global consulting AI leader and Americas consulting CTO, told Business Insider that roles that were once distinct across data engineering, software engineering, and AI engineering are now overlapping. Diasio told Business Insider that these used to be "completely different professions," and that software engineers are able to accomplish and build a lot more quickly than they were previously. Per Business Insider, the shift has pushed the consulting giant to move beyond traditional software engineering lifecycles and toward product development lifecycles, and the company is training engineers to operate more like end-to-end product builders. Business Insider reports that EY is also reshaping its hiring strategy for technical workers in the AI era.

Companies undergoing similar convergence trends typically see a rising premium on engineers who can span data pipelines, production-grade software, and model deployment. This pattern increases demand for competencies such as data-product design, MLOps, observability, and API-first development rather than isolated scripting or model prototyping. For practitioners, that often means tighter coupling between feature stores, CI/CD for models, and telemetry that supports both software and model SLIs.

Observed patterns in comparable transitions show employers shifting hiring signals from narrowly defined job titles toward competency statements and project portfolios that demonstrate end-to-end delivery. Training that emphasizes product literacy, customer-facing metrics, and cross-discipline pairing tends to replace strictly separated handoff processes between data and software teams. These shifts also reshape tooling choices, favoring unified platforms that bridge data processing, model training, and production inference.

Indicators an observer might follow include job descriptions that list hybrid responsibilities across data, software, and ML; listings for product-engineer roles with production and model-ops expectations; adoption rates of integrated MLOps platforms; and recruiting language that prioritizes product delivery experience over narrow technical specialty. Monitoring those signals will show whether the pattern Business Insider reports at EY is isolated to consultancies or is spreading across enterprise tech teams.