At a Glance
- Tasks: Shape and evolve internal data and platform capabilities for better user experiences.
- Company: Join Elsevier, a global leader in information and analytics.
- Benefits: Flexible working patterns, inclusive culture, and country-specific benefits.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a meaningful impact on science and healthcare through innovative data solutions.
- Qualifications: Experience in product management and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
Are you excited by improving how internal platforms help teams discover, access, and use data effectively?
Do you enjoy working across product, engineering, and data communities to remove friction and enable better outcomes?
About 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
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.
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.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
We are 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 please 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.
Senior Product Manager – Data Platform Foundations in London employer: LexisNexis Risk Solutions
At Elsevier, we pride ourselves on being an exceptional employer, offering a collaborative and innovative work culture that empowers our employees to make meaningful contributions. As a Senior Product Manager in London, you will enjoy flexible working patterns, a commitment to personal well-being, and opportunities for professional growth within a global leader in information and analytics. Join us to help shape the future of data platforms while advancing science and improving healthcare outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager – Data Platform Foundations in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like LexisNexis Risk Solutions!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at LexisNexis Risk Solutions would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at LexisNexis Risk Solutions through your school's career services!
We think you need these skills to ace Senior Product Manager – Data Platform Foundations in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager – Data Platform Foundations, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager – Data Platform Foundations position at LexisNexis Risk Solutions. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
