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Senior Technical Product Owner – Data, Big Data, Data Analysis, Dashboard, UI
£400-500 per day
Digital & Media
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Phone Number:
0207 763 7070
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Date Posted:
Senior Technical Product Owner – Data, Big Data, Data Analysis, Dashboard, UI

A global media organisation are looking to hire a Senior Technical Product Owner on a contract basis to join their London based team. Working in the Data Platforms team, a function re-developing the big data platform used to analyse client data on a global scale, the Product Owner will help to define the vision of a major component within the platform – Onboarding and Platform Operations. Due to the complexity of the platform, it is currently taking longer than anticipated for engineers to onboard and configure users. To eliminate this time-delay, they want to allow users to onboard themselves to the platform, enabling them to configure jobs on behalf of their clients. The Product Owner will work with users to understand what they need to utilise the platform capabilities, in turn specifying stories that the engineers need to put the power in the hands of the user. The ideal candidate will have; media industry experience, hands on data analysis skills and understand the frustrations of a user.

Key responsibilities:
  • Lead multiple scrum teams by taking user requirements and turning them into deliverable stories for the development team to work on
  • Plan and prioritise product feature backlog and development for the product
  • Provide backlog management, iteration planning, and elaboration of the user stories
  • Manage the roadmap, release plans and set expectation for the delivery of new functionality
Required skills:
  • Strong technical background – ideally worked in a hands-on data analysis role previously
  • Product Owner experience, with proven ability in taking accountability for work produced by the scrum team, ensuring user stories are ready and prioritising the backlog
  • Experience developing self-serve onboarding and operational dashboards, UI and capabilities for supporting users and everyday operations of a big data solution
  • Understanding of media industry and data partners they work with

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