Head of Data Product Management f/m/d
Scout24
Berne
vor 1 Tg.

Do you want to link business and data? How about inspiring business based on data insights? What about translating business needs into data use cases?

Here is your opportunity to lead and further develop our Data Product Management Team.

We are looking for a

Head of Data Product Management f / m / d

These are your responsibilities :

  • You lead the team linking business departments and data unit. In this role you will establish and define best practises and processes for Data Product Management, Data Analytics & Data Governance
  • You inspire business with data insights by proactively contributing data expertise into product & business processes
  • You translate business requirements into data requirements and you guide your team towards product ownership
  • You take responsibility for a successful data product development through product ownership and management for data products of all kinds
  • You manage, assign and steer all your available resources and demands with goal to balance workloads and priorities effectively
  • You provide analytical artefacts like analyses, dashboards, reports, etc. to customers and various business stakeholders
  • You take care of data governance ie. by setting up data quality instruments, processes and guidelines for the data unit and its related verticals
  • You define, optimize and execute processes to assure first level operation and support for all existing data solutions
  • You bring this experience with you :

  • You have an educational background in Business Information Systems, Econometrics, Business, Data Science, Mathematics, Statistics, or Physics (Master level preferred)
  • You have already designed successful digital and / or data-driven business models in the past starting by collecting business requirements and translating them into data use cases
  • You already managed data projects, you have (data) product management experience in an agile environment (Scrum, Kanban, etc.
  • and you are able to shape data product discovery and delivery according to lean / agile principles

  • You can prove experience in data governance. You have a strong business sensepaired with a broad understanding of Analytics, BI, Data Science and ML & AI technologies as well as the related state-of-the-art technologies
  • You are able to decide when to apply technologies depending on Business Intelligence and when to cope a problem with Data Science / ML
  • You have demonstrated your ability to develop, manage and lead a team
  • You are a leader with a results-focused attitude that is able to drive results across cross-functional teams
  • You have strong and pro-active communication skills and are able to translate business into data requirements as well as data into insights for business
  • That's why you should apply :

    You can expect a challenging task in a great environment and collegial cooperation

    We stay agile with different and fast changing topics in a dynamic environment

  • Your place of work is in Zurich or Berne / Flamatt. We assume that you are willing to travel to the other place of work.+++
  • We are looking forward to your application, even without a letter of motivation! Get to know us

    We offer a challenging and interesting job in a dynamic environment. We encourage development and training opportunities and we provide a workplace in a new office building with staff restaurant and fitness room, as well as cultivating an informal and straightforward working atmosphere. Great Place to Work

    After 2016 and 2018, Scout24 was again awarded the "Great Place to Work" label in 2020. The results of the employee survey and audit show that the employees of Scout24 particularly count team orientation and the welcome culture among the strengths of the company.

    They are proud that their efforts make a significant contribution. In addition, after 2018, in 2020 we were awarded Best Employer for the second time by BILANZ and Le Temps in the category "Internet, Telecommunications and IT".

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