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About the Role
Shape and evolve internal data and platform capabilities, supporting discovery, delivery, and continuous improvement across platform services, experimentation environments, and shared data access. Translate user needs into clear requirements, drive execution of strategic roadmap priorities, and ensure measurable platform impact within a global organization committed to advancing science and healthcare.
Responsibilities
- Support the discovery and delivery of internal platform capabilities
- Gather feedback from engineers, data scientists, and stakeholders to identify improvement opportunities
- Translate user needs into clear requirements and manage a prioritized 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 ability to build effective relationships across groups
- Well organized, adaptable, and able to work effectively in a fast-paced environment
- Interest in improving user experience and outcomes for internal teams
- Exposure to data platforms, experimentation tooling, machine learning workflows, or cloud technologies (preferred)
- Understanding of data privacy, security, and responsible data access (preferred)
Skills
- Product management
- Product operations
- Business analysis
- Platform delivery
- User needs translation
- Data-driven decision-making
- Communication
- Relationship building
- Organization
- Adaptability
- Fast-paced environment work
- User experience improvement
- Data platforms
- Experimentation tooling
- Machine learning workflows
- Cloud technologies
- Data privacy
- Security
- Responsible data access
Work Type
- Flexible working patterns
- Flexible and inclusive approach to working
Experience Level
- Senior
Benefits
- Country-specific benefits
- Support for well-being and happiness
About the Company
- Elsevier's Data Engineering Foundations team builds core capabilities for engineering and data science teams to experiment, develop, and deliver solutions at pace.
- The team provides reliable tooling, trusted data access, and scalable workflows, reducing friction and accelerating delivery.
- A global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
- Combines quality information and vast data sets with analytics to support visionary science and research, health education, interactive learning, and exceptional healthcare and clinical practice.
- Work contributes to global challenges and a sustainable future, harnessing innovative technologies to support science and healthcare.
- RELX is a global provider of information-based analytics and decision tools for professional and business customers.
- RELX's purpose is to benefit society by developing products that help researchers advance scientific knowledge, doctors and nurses improve patient lives, lawyers promote the rule of law, businesses and governments prevent fraud, consumers access financial services, and customers learn about markets.
- Employees are inspired to undertake initiatives that make unique contributions to society and communities.
Equal Opportunity
- 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 contact 1-855-833-5120.
- 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.