Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department.
Job Description Summary#LI-Hybrid Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities
Job Description Summary#LI-Hybrid Reporting to the Executive Director, Semantic and Knowledge Engineering, the Director, Semantic and Knowledge Engineering leads the design, implementation, and governance of enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks that power NovaOS.
Job Description Summary#LI-Hybrid Reporting to the Executive Director, Semantic and Knowledge Engineering, the Associate Director, Semantic and Knowledge Engineering designs, builds, and governs enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs, metadata services, and semantic APIs.
BandLevel 7 Job Description Summary#LI-Hybrid Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing
Novartis seeks an Associate Director of Semantic and Knowledge Engineering to design, build, and govern enterprise semantic models, ontologies, vocabularies, and knowledge graphs. You will enable AI, analytics, and contextual search across products by embedding reusable semantic capabilities