Want to know if this job is worth applying to?
Greater London, England, United Kingdom
Hybrid
Are you passionate about turning complex data challenges into clear, scalable product solutions?
Do you enjoy leading through ambiguity, shaping roadmaps, and helping teams deliver high-quality outcomes in an evolving AI-enabled environment?
About our Team
The Enterprise Data & Analytics (EDA) team’s vision is a future where every colleague has trustworthy data they confidently use to streamline processes, drive smarter decisions and accelerate growth. We develop solutions for managing master data, provide capabilities to manage and govern data assets, and provide analytical platforms to deliver valuable business insights.
The Enterprise Product Hub (EPH) is central to that vision. EPH masters Elsevier’s saleable product data – bringing books, journals and a growing range of other products under a single governed model – and currently publishes it to around thirty consuming systems across the business. As Elsevier's product portfolio grows, so does EPH's remit, and the work ahead for the analysts, engineers and product specialists behind it.
About the Role
The Senior Data Product Manager owns a defined area of the EPH product estate – the attributes that enable us to sell a product, from what it's called to how it's identified and how it's sold. You will take your functional direction from the Head of Product Data, and will report indirectly to the Senior Director of EDA.
This role complements the existing product management by taking responsibility for a current gap in our data estate: the ingestion and publication of digital product data. It's an opportunity for a greenfield build – a digital product lifecycle solution to enable publication of digital product data across A&G, Health and Corporate Markets, alongside the existing books and journals data.
This is a delivery-first role: you will work closely with EPH business and engineering colleagues and represent EPH's position in cross-team decisions, with a meaningful second strand; coaching and growing the analysts around you.
Your success will be measured by the quality of the decisions you make under ambiguity, the analysts you grow, and – above all – the extent to which the product data you own helps Elsevier go to market more effectively and makes the customer buying experience better.
Responsibilities
Requirements
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
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.
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.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
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:
