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3 дня назад

Head of Data (Ecommerce)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Head of Data (Ecommerce): Leading the Data function for a digital retailer by setting data strategy, developing high-performing teams, and delivering governed platforms, reporting, and analytics capabilities with an accent on trusted data, commercial outcomes, and senior stakeholder partnership. Focus on building scalable data platforms, improving data quality and accessibility, and supporting AI, machine learning, and advanced analytics initiatives.

Location: Liverpool, England, United Kingdom

Company

Digital retailer Very, serving millions of customers through its ecommerce business.

What you will do

  • Set the direction and roadmap for the Data function in line with business objectives.
  • Lead, develop, and support a high-performing team of data professionals.
  • Establish strong data governance, quality, security, and accessibility standards.
  • Oversee data platforms, reporting, analytics capabilities, and related processes.
  • Partner with Technology, Product, Commercial, Finance, Operations, Customer, and executive stakeholders.
  • Translate data and insights into commercially meaningful decisions, opportunities, and customer improvements.

Requirements

  • Significant experience leading Data, Analytics, or Business Intelligence functions.
  • Proven ability to develop and deliver data strategies supporting business objectives.
  • Experience building and leading high-performing teams and influencing senior leaders.
  • Strong understanding of data governance, quality, security, and best practices.
  • Experience leading large-scale data platforms, reporting, or analytics capabilities.
  • Experience in retail, ecommerce, digital, or consumer-focused businesses.

Nice to have

  • Exposure to cloud-based data technologies and modern data platforms.
  • Experience supporting AI, machine learning, or advanced analytics initiatives.
  • Familiarity with data products or self-service analytics approaches.

Culture & Benefits

  • Collaborative, pragmatic, and customer-focused working environment.
  • Flexible working practices and a focus on learning and career development.
  • Inclusive culture with colleague networks and reasonable adjustment support.
  • Pre-employment checks include credit, CIFAS, Right to Work, and, where required, DBS checks.

Hiring process

  • First stage: introductory Teams call with Technology and Data Leadership.
  • Second stage: final face-to-face interview with the Technology and Data Leadership Team.

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