Elsevier
Senior Product Manager – Data Platform Foundations

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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. Click here to access benefits specific to your location.
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