Senior Product Manager

Are you excited by shaping how AI‑ready content powers search, discovery, and insight at scale?

Do you enjoy working at the intersection of product, data, and engineering to turn strategy into impact?

About our Team

We build Search and AI platform capabilities that power search, AI‑assisted discovery, and recommendation experiences across Elsevier’s product portfolio. Our work supports researchers, clinicians, and innovators worldwide find, understand, and use knowledge from Elsevier’s content by transforming complex information into connected, searchable and actionable knowledge.

This roles sites within the AI content group, which ensures content from Elsevier’s Data Platform is made available in a clean and enriched form for use in Search and AI use cases. The team plays a critical role in enabling other teams to build impactful AI and search-driven products by providing reliable, high-quality content at scale.

About the Role

This role sets the direction and roadmap for an AI content group, ensuring high‑quality, well‑governed content flows into shared Search and AI platforms. You will work closely with engineering, data, and product partners to deliver scalable ingestion capabilities that support multiple downstream use cases. The role combines strategic ownership with hands‑on collaboration across teams.

Responsibilities

• Articulate the vision and set the roadmap for the AI content group, aligned with shared Search & AI platform OKRs
• Work closely with engineering leadership to evolve and deliver scalable ingestion workflows, balancing flexibility with long‑term maintainability
• Own AI content ingestion initiatives end‑to‑end, translating product needs into clear data and engineering requirements and supporting delivery
• Balance input from multiple stakeholders and make clear, practical trade‑offs using data to guide prioritisation and roadmap decisions
• Partner with upstream and downstream teams to align on data quality, contracts, and service expectations for Search and AI use cases
• Drive insights on the content catalogue to improve discoverability, reuse, and adoption

Requirements

• Experience working in data platforms or data‑intensive environments serving multiple stakeholders, collaborating with engineers and data scientists
• Understanding of how content flows through data systems, including familiarity with technologies such as Airflow, Spark, EMR, or similar tools
• Understanding of how data supports AI, search, or recommendation use cases, and how to assess and improve data quality
• Ability to work across multiple teams, balance competing needs, and make thoughtful, data‑informed prioritisation decisions
• Strong communication skills, with the ability to engage clearly with both technical and non‑technical stakeholders

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.