Senior Product Manager - Data Platform Foundations

Our Team

At Elsevier, our Data Engineering Foundations team builds the core capabilities that enable engineering and data science teams to experiment, develop, and deliver solutions at pace. Working across product, engineering, architecture, and platform communities, the team provides reliable tooling, trusted data access, and scalable workflows that reduce friction and accelerate delivery.

About the Role

As a Senior Product Manager, you will help shape and evolve our internal data and platform capabilities. You will support discovery, delivery, and continuous improvement across platform services, experimentation environments, and shared data access. Working closely with senior product leaders and cross functional partners, you will turn user needs into clear requirements, drive execution against strategic roadmap priorities, and help ensure our platform delivers measurable impact. As part of a global organisation committed to advancing science and improving healthcare, you will work in a collaborative environment where innovation is encouraged and individuals are empowered to contribute ideas that make a meaningful difference.

Responsibilities

• Support the discovery and delivery of internal platform capabilities.
• Gather feedback from engineers, data scientists, and stakeholders to identify opportunities for improvement.
• Translate user needs into clear requirements and manage a prioritised product backlog.
• Partner with engineering teams to deliver scalable, user focused solutions.
• Improve access to data products and platform services, balancing usability, privacy, and security.
• Track product adoption, user feedback, and delivery outcomes to inform continuous improvement.
• Support the transition from legacy workflows to simpler, scalable platform solutions.
• Contribute to clear communication, onboarding resources, and shared best practices across the user community.

Requirements

• Experience in product management, product operations, business analysis, or platform delivery.
• Ability to understand user needs and translate them into practical solutions.
• Comfortable using data and feedback to guide decision making.
• Strong communication skills and the ability to build effective relationships across groups.
• Well organised, adaptable, and able to work effectively in a fast paced environment.
• Interest in improving user experience and outcomes for internal teams.
• Any exposure to data platforms, experimentation tooling, machine learning workflows, or cloud technologies would be a plus, but is not required.
• An understanding of data privacy, security, and responsible data access is advantageous, but not essential.

EEO Statement

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. USA Job Seekers: EEO Know Your Rights.