AI & Data Science Lead: Strategy, LLMs & Impact

Elsevier; Ciudad de México; On-site; MXN 4,041,000 - 7,505,000; Full time

Job summary

Elsevier is seeking a leader to define and drive AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams from experimentation to production, aligning work with product goals and customer needs while influencing senior stakeholders across the organization.

You will lead high-performing teams, foster scientific rigor, and build scalable AI solutions that power knowledge discovery and innovation at scale.

Qualifications

• Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or 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.

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.

Skills

AI/ML

NLP

Information retrieval

Statistics

Production AI

Team leadership

Stakeholder management

Tools

LLMs

RAG

Semantic search

Embeddings

Job description

Elsevier is seeking a leader to define and drive AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams from experimentation to production, aligning work with product goals and customer needs while influencing senior stakeholders across the organization.

You will lead high-performing teams, foster scientific rigor, and build scalable AI solutions that power knowledge discovery and innovation at scale.