Эта вакансия в архиве

Посмотреть похожие вакансии ↓
Company hidden
2 часа назад

Data Product Manager (Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK

Описание вакансии

Текст:
/

TL;DR

Data Product Manager (Data/AI): Overseeing the entire lifecycle of data products from ideation to optimization with an accent on data architecture, ETL pipelines, and data enablement. Focus on leading cross-functional teams of data scientists and engineers to build scalable data-driven initiatives.

Location: Hybrid in London, UK

Company

Tech transformation specialists uniting human expertise with AI to create scalable tech solutions for over 1,000 global clients.

What you will do

  • Manage the complete data lifecycle, including generation, ETL pipelines, and data enablement to ensure integrity and accessibility.
  • Evaluate and optimize technical data architecture, including storage, integrations, and analytics platforms.
  • Define product roadmaps and prioritize tasks by collaborating with technical and business stakeholders.
  • Analyze data types, relationships, and trends to enhance the utilization of data assets.
  • Lead cross-functional teams of data scientists and engineers to deliver high-quality data products.
  • Support the integration of AI into team workflows to increase overall performance and efficiency.

Requirements

  • Proven background in the data and analytics domain.
  • Experience in project management and leading cross-functional teams.
  • Strong strategic thinking and a product-centric mindset.
  • English: Excellent communication skills (C1+) required.
  • Location: Must be based in the UK.

Nice to have

  • Experience with Azure Cloud Platform services and cloud data migration.
  • Knowledge of AI/ML concepts and applications.
  • Proficiency with tools such as Hubspot, Workday, Segment, or Braze.
  • Experience in Data Platforms, Visualization, or Migration.

Culture & Benefits

  • Collaborative and inclusive work environment that values diverse identities.
  • Opportunity to work within a global network of over 8,000 professionals.
  • Exposure to cutting-edge tech transformation and AI-driven solutions.
  • Focus on professional growth and mentoring within data teams.