About Our Team
At Elsevier, our Data Engineering Foundations team builds 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 shape and evolve 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 translate user needs into clear requirements, drive execution against strategic roadmap priorities, and help ensure our platform delivers measurable impact.
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
- Understanding of data privacy, security, and responsible data access is advantageous, but not essential
Work in a Way That Works for You
We promote a flexible and inclusive approach to working, enabling you to balance professional impact with personal priorities.
Working Pattern
This role supports flexible working patterns, subject to role requirements and team collaboration needs.
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.
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