Data Product Manager

A new position is now open for a Senior Data Product Manager, responsible for managing the development of data products that will underpin multiple critical products and use cases across the publishing lifecycle.

• Deeply understand data use cases across the business and relationships between data, ensuring reuse and value of data.
• Define and own the peer review data product strategy and roadmap.
• Define data products with clear, data, quality and usage needs; lead the assessment of third party and company internal data to assess value/impact for peer review products.
• Establish and own ways to measure data ROI and NFRs for each, and actionable performance KPIs, and data quality standards.
• Work closely with product managers, data analysts and engineers, data science and data architecture to deliver scalable, high-quality data products that support core business needs are translated into valuable datasets.
• Advocate for data quality and governance, building trust in data products across teams.
• Serve as a champion for data, ensuring that new datasets and capabilities are known, understood, and actively used.

• Proven success in data-heavy product management roles, with experience owning the full product life cycle in a fast-paced, data-driven environment.
• Strong technical fluency, able to understand dataflows, schema, integration challenge and strategic thinking to translate complex problems into innovative solutions.
• Excellent communication and stakeholder management skills, with a demonstrated ability to align diverse teams, able to balance business and technical needs.
• Demonstrated ability to build and delivery strategic roadmaps and prioritise effectively across competing needs.
• Analytical mindset with experience in defining and tracking KPIs to measure product success.
• Experience informally leading cross‑functional teams and driving outcomes with a collaborative approach.
• Passion for data quality, impact measurement, and upholding research integrity in scholarly publishing.

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative, and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co‑workers who are passionate about what they do and how they do it.

Our Data & Analytics team is at the forefront of transforming the research publication landscape. Working with research ethics and integrity experts, product managers, data scientists and publishers, we enable peer review and editorial workflows for the largest, global scientific publisher. Our goal is to help researchers get their research published whilst safeguarding the integrity of knowledge. We are a passionate data‑driven team committed to delivering solutions that safeguard the integrity of knowledge and empower researchers worldwide.

Collaboration, curiosity and customer obsession are at our core.

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Long service awards
• Save As You Earn share option scheme
• Travel Season ticket loan
• Maternity, paternity, and shared parental leave
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts via Perks at Work