Digital Engineering Data & AI Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Project/Program Management Group Job Sub Function Technology Program/Portfolio Management Job Category Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America

Johnson & Johnson Engineering & Property Services is recruiting for a Digital Engineering Data & AI Engineer, located in New Brunswick, New Jersey. An internal pre-identified candidate for consideration has been identified. However, all applications will be considered. Join our Project Delivery Digital Engineering team and help improve how engineering standards, Building Information Modeling (BIM) data, and IDEA digital workflows are structured, connected, and used across capital projects and connected with facility lifecycle. As a Digital Engineering Data and AI Engineer, you will develop scalable data and AI solutions that enable standards-driven designs, streamlined workflows, and data-informed decisions. You will partner closely with the BIM Data Model Lead, who defines BIM data models and standards, to build solutions that apply those standards across analytics, digital workflows, and AI-enabled applications. Your work will help teams make better decisions, improve consistency, and strengthen Digital Engineering capabilities across Project Delivery.

Design and Build Data Solutions • Build structured data models that translate engineering standards and