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3 дня назад

Senior Data Product Manager (Digital Products)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Product Manager (Digital Products) (Data Management/AI): Building a digital product lifecycle solution to ingest and publish governed product data across Elsevier’s markets with an accent on master data management, data governance, and clear product specifications. Focus on making prioritisation decisions under ambiguity, enabling AI-assisted delivery, and coaching analysts across complex business and engineering environments.

Location: London Wall, United Kingdom

Company

hirify.global provides information, analytics, publishing, and data solutions supporting scientific research, healthcare, education, and clinical practice.

What you will do

  • Own a defined area of the Enterprise Product Hub product data estate, including attributes used to identify, describe, and sell products.
  • Build a greenfield digital product lifecycle solution for ingesting and publishing product data across A&G, Health, and Corporate Markets.
  • Engage stakeholders, elicit requirements, and translate business needs into clear specifications from concept through live release.
  • Prioritise maintenance, programme delivery, and roadmap investments based on business value and measurable outcomes.
  • Support adoption through training, guidance, documentation, system onboarding, and data-flow documentation.
  • Coach and develop junior and mid-level analysts and contribute to recruitment activities.

Requirements

  • Experience writing clear, well-constrained requirements and specifications, with interest in AI-assisted delivery methods.
  • Experience independently owning a product or workstream end to end and making prioritisation and scope decisions under ambiguity.
  • Senior stakeholder management experience across business and engineering teams in complex, multi-stakeholder environments.
  • Deep knowledge of data management, ideally including master data management, data governance, and metadata management.
  • Experience coaching and developing junior or mid-level analysts.
  • Product management or product owner experience is beneficial; experience with an MDM platform, academic publishing, or federated enterprise MDM environments is advantageous.

Culture & Benefits

  • Flexible working hours to adjust the working day around periods of highest productivity.
  • Wellbeing initiatives supporting work-life balance.
  • Shared parental leave, study assistance, and sabbaticals.
  • Country-specific benefits and an accessible hiring process with accommodation support available.

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