Senior Manager (Data Management and Training) in London

Senior Manager (Data Management and Training) in London

London Full-Time On-site
Elsevier

Data Science LeaderAI for Science, Research Intelligence & Knowledge DiscoveryTechnology – Data Science OrganizationAre you ready to lead the teams building AI that helps advance science? Are you motivated to shape AI and data science strategy that drives meaningful impact across products, customers, and business outcomes? Would you enjoy leading teams to build advanced AI systems that power knowledge discovery and innovation at scale? About our TeamOur global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. Our team values trust, respect, collaboration, agility, and quality. About the RoleIn this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning work to product goals and customer needs. ResponsibilitiesSet AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting priorities, fostering scientific rigor, and building an inclusive, collaborative culture. Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions. Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards. RequirementsSignificant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems. Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems. Work in a Way That Works for YouWe promote a healthy work/life balance across the organisation. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiveAbout the BusinessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Senior Manager (Data Management and Training) in London employer: Elsevier

At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.

Elsevier

Contact Details:

Elsevier Recruitment Team