Manager Data Science

relx; Mexico; On-site; PHP 14,984,000 - 27,829,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Country-specific benefits

Job summary

Elsevier leads AI and data science strategy across ML, NLP, search, and generative AI to deliver scalable knowledge-discovery systems. You will guide teams through the full lifecycle from experimentation to production, aligning work with product goals and customer needs.

You will influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation, building a culture of rigor, collaboration, and responsible AI.

Qualifications

• Significant experience in data science, AI/ML, NLP, information retrieval, or statistics.
• Hands-on delivery of AI-powered products and systems.
• Experience with LLMs, RAG, and knowledge-driven AI.
• Proven leadership of technical teams in product or research environments.
• Experience handling large datasets and scalable AI/ML systems.

Responsibilities

• Set AI and data science strategy across ML, NLP, search, and generative AI, aligned to goals.
• Lead and develop high-performing teams by coaching and building collaboration.
• Deliver AI systems from experimentation to production, including LLMs and knowledge-driven solutions.
• Establish evaluation frameworks, metrics, and responsible AI practices.
• Influence roadmaps across product, technology, and business with stakeholders.

Skills

Data science

AI/ML

NLP

Information retrieval

Statistics

Production AI

Tools

LLMs

RAG

Semantic search

Embeddings

Agentic workflows

Job description

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.

U.S. National Base Pay Range: $238,100 - $442,200. Geographic differentials may apply in some locations to better reflect local market rates.

We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard