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Associate director, r&d data science & digital health - ai knowledge & literacy lead (open) (barcelona)

Barcelona
*Nombre Oculto*
Publicada el 3 diciembre
Descripción

**Job Function**:Data Analytics & Computational Sciences**Job Sub Function**:Data Science**Job Category**:People Leader**All Job Posting Locations**:Cornellà de Llobregat, Barcelona, SpainJohnson & Johnson Innovative Medicine is recruiting for an **Associate Director, Knowledge & Literacy Lead.** This position has a primary location of Titusville, NJ but is also open to Springhouse, PA; Boston, MA; and Barcelona, Spain. This position will require up to 25% travel.US Job Requisition: R-034903**About the Role**:We are seeking a strategic AI Knowledge & Literacy Lead to lead the enterprise-wide flow of AI insights across Johnson & Johnson. This role ensures that AI-related knowledge is curated, contextualized, and made accessible to drive confident adoption and informed decision-making.This position focuses on knowledge architecture and insight dissemination, not simply content creation. It complements other AI Literacy roles by enabling structured access to insights and fostering a shared understanding of AI tools and knowledge across R&D.;**Key Responsibilities**:- Source, curate and distribute AI insights through newsletters, summaries, and pathways to ensure broad access across teams.- Develop and maintain a knowledge-sharing framework that promotes cross-functional collaboration and prevents siloed information.- Build a shared language around AI concepts and explain them in different formats and to different audiences.- Collaborate with internal teams to identify knowledge gaps and create targeted content to address them.- Continuously improve knowledge dissemination methods using digital tools and innovative formats.**Qualifications**:- Source, curate and distribute AI insights through newsletters, summaries, and pathways to ensure broad access across teams.- Develop and maintain a knowledge-sharing framework that promotes cross-functional collaboration and prevents siloed information.- Build a shared language around AI concepts and explain them in different formats and to different audiences.- Collaborate with internal teams to identify knowledge gaps and create targeted content to address them.- Continuously improve knowledge dissemination methods using digital tools and innovative formats.JRDDS #JNJDataScience #JNJIMRND-DS

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