Define and own the R&D Information & Knowledge Strategy and roadmap, aligned with digital transformation and AI priorities
Partner with Digital and Data Leads and senior R&D leaders to align knowledge products with strategic priorities. Translate complex scientific knowledge needs and prioritized use cases into technical solutions and communicate roadmap and value to leadership
Own end-to-end information pipelines - from unstructured data ingestion (publications, lab notebooks, regulatory submissions) to exploitable context layer and knowledgebases powered by NLP, LLMs and Agentic AI workflows
Procure and deliver scientific information services, competitive intelligence tools and literature mining platforms, including vendor management
Set governance standards for information quality, lineage and lifecycle across CP R&D, ensuring alignment with enterprise architecture, IP and data security
Lead cross-functional matrix teams in Agile delivery of knowledge mining use cases, championing a data-centric culture

Proven leadership of information, knowledge management or R&D intelligence programs in science-driven organisations (life-sciences or chemical industry) - backgrounds in data science, scientific content services, informatics or publishing are all relevant
Demonstrated hands-on expertise with NLP, text mining and Agentic AI-powered knowledge extraction and mining of scientific, technical or regulatory content
Strong understanding of data engineering platforms (e.g. Databricks, AWS, data lakehouse architectures)
Excellent stakeholder management and matrix leadership skills across scientific, technical and senior audiences
Master's degree in STEM, Data Science, Information Science or related discipline, Expertise in knowledge graphs, ontologies, semantic search and vector databases
Experience with scientific informatics platforms, tools and workflows
PhD degree in a relevant STEM or Informatics field

About Syngenta

4 Syngenta jobs in England & Wales