You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in science.
Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matters.
What You'll Do
Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.
Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.
What We're Looking For
Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
Proven success building, coaching, and developing high-performing teams in complex technology or product environments.
Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.
Experience working with large-scale structured, semi-structured, and unstructured data in production environments.
A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact.
Why Join Elsevier
Because your leadership will matter.
You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.


U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587.

This job is eligible for an annual incentive bonus.





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