Product Manager II: Scholarly Tech & Data

Elsevier

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Hybrid work arrangement
Private medical benefits
Wellbeing programs
Pension scheme

Job summary

Elsevier is seeking a Product Manager II in London to help shape and deliver SSRN enhancements for researchers and scholarly communities. You will work with engineering, analytics, operations, and content teams to translate user needs into clear product requirements and deliver meaningful improvements through data-informed decision making.

You will collaborate across functions to write stories, manage the backlog, and prioritise defects while participating in sprint ceremonies and release

Qualifications

  • Strong product thinking with an understanding of technology platforms and data architecture.
  • Document and write clear requirements using user stories as part of agileSprint methodology.
  • Hands-on experience in UX and Design, including Figma for wireframe prototypes.
  • Analytical, data-driven approach using tools like Adobe Analytics, Hotjar and Pendo.
  • Familiarity with AI tools and services and their application to process improvement and product delivery.
  • Ability to manage multiple workstreams and work independently.
  • Strong stakeholder management and communication skills.
  • Familiarity with scholarly communications and preprint culture is advantageous.

Responsibilities

  • Write user stories and acceptance criteria for SSRN features, sprint-ready and clearly defined.
  • Collaborate with engineering, analytics, operations, and content teams to clarify requirements.
  • Produce analytics reports and insights from AI-supported tools.
  • Maintain backlog hygiene through grooming, sequencing, labelling and prioritisation.
  • Run or support Sprint ceremonies including standups, planning, retrospectives, and sprint updates.
  • Update sprint and release progress in JIRA and Aha, communicating status and blockers.
  • Identify and prioritise production issues and defects using data to support resolution.
  • Support discovery, launch readiness activities, stakeholder communications, and collaboration with Analytics and Data Science teams.

Skills

Strong product thinking
Write clear requirements
UX & design (Figma)
Analytics mindset (Adobe Analytics/Hot

Tools

Figma
Adobe Analytics
Hotjar
Pendo

Job description

Elsevier is seeking a Product Manager II in London to help shape and deliver SSRN enhancements for researchers and scholarly communities. You will work with engineering, analytics, operations, and content teams to translate user needs into clear product requirements and deliver meaningful improvements through data-informed decision making.

You will collaborate across functions to write stories, manage the backlog, and prioritise defects while participating in sprint ceremonies and release

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