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21 час назад

Senior Data Product Manager

75 000GBP
Формат работы
hybrid
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

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TL;DR

Senior Data Product Manager: Owning a portfolio of data products from ideation to launch and in-life management with an accent on product vision, strategy, and roadmaps aligned to business objectives. Focus on translating business needs into actionable requirements for developers and continuously improving products using data and insights.

Location: London - Newman Street / Crawley Court – Winchester. Flexible and hybrid working.

Salary: Up to £75,000 base salary

Company

hirify.global is the undisputed leader in UK TV and radio broadcast and the top smart utilities platform in the country, directly shaping the future of connectivity.

What you will do

  • Own a portfolio of hirify.global data products end-to-end, from ideation and design through to delivery, launch, and in-life management.
  • Define and maintain product vision, strategy, and roadmaps aligned to hirify.global business objectives.
  • Act as product owner within Agile delivery teams, shaping requirements and supporting sprint delivery.
  • Collaborate with engineering, data science, platform, and operations teams to deliver scalable, high-quality data products.
  • Use data, insights, and performance metrics to track success and drive continuous product improvement.
  • Gather and analyse customer, market, and competitor insights to inform product decisions.

Requirements

  • Substantial experience in product management, ideally within data or technology-led environments.
  • Proven track record of delivering products from concept through to launch and optimisation.
  • Experience working with data-driven technologies and platforms.
  • Strong understanding of agile and product-led working practices.
  • Ability to quickly absorb complex domain knowledge and translate it into delivery-ready requirements.
  • Confident engaging with commercial and technical teams.

Nice to have

  • Exposure to tools and platforms such as AWS, Databricks, Power BI, or Qlik Sense is advantageous.
  • Knowledge of AI and machine learning concepts is desirable (hands-on development not required).

Culture & Benefits

  • Comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance.
  • 6% pension contribution.
  • 25 days annual leave.
  • Private Medical.

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