Senior Manager, Data Science

Posted Yesterday
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London, England, GBR
In-Office
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.
Summary Generated by Built In

Data Science Leader

AI for Science, Research Intelligence & Knowledge Discovery

Technology – Data Science Organization

Are 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 Team

Our 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. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

In 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. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation.

Responsibilities

  • Set 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.

  • Influence across product, technology, and business by partnering with cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact.

Requirements

  • Significant 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.

  • Proven success leading and developing technical teams in complex product, platform, or research environments.

  • Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.

  • Strong people leadership, prioritization, communication, and stakeholder management skills, with the ability to turn ambiguity into clear strategy and measurable outcomes.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. 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 Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

A 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. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Together, we create possibilities. Join us.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. 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.

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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.

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Skills Required

  • Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or related quantitative field
  • Strong technical expertise in 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
  • Proven success leading and developing technical teams in complex product, platform, or research environments
  • Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems
  • Strong people leadership, prioritization, communication, and stakeholder management skills
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The Company
0 Employees
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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