Technical Product Owner "Data"
We are looking for a Technical Product Owner for "Data" (f/m, full-time) to start immediately in our office in Berlin-Kreuzberg, Germany.With millions of regular users and more than 7000 hours of premium content, #URL_8e4e9897aecb1980ec96e296864343a4402263bc440bec39377381446da44dc8# is growing fast while shaping the future of learning.Responsibilities:help define and implementing the overall data strategy, data architecture, data standards and conceptshelp define the optimal technology stack, evaluate options and drive make or buy decisionshands-on management of data related projects incl. our next generation data warehouse as a product ownerwork closely together with the engineering data team in agile methodoloy to deliver results fastmanage internal stakeholders (Finance, Marketing, Product, Didactics, Management) and their requirementsdeliver practical data solutions including technology, process setup and organisational adjustments from idea to productive and support them through their livecylce ensure data quality and validity of data
Title: Technical Product Owner "Data"
Salary: None
Description: We are looking for a Technical Product Owner for "Data" (f/m, full-time) to start immediately in our office in Berlin-Kreuzberg, Germany.With millions of regular users and more than 7000 hours of premium content, #URL_8e4e9897aecb1980ec96e296864343a4402263bc440bec39377381446da44dc8# is growing fast while shaping the future of learning.Responsibilities:help define and implementing the overall data strategy, data architecture, data standards and conceptshelp define the optimal technology stack, evaluate options and drive make or buy decisionshands-on management of data related projects incl. our next generation data warehouse as a product ownerwork closely together with the engineering data team in agile methodoloy to deliver results fastmanage internal stakeholders (Finance, Marketing, Product, Didactics, Management) and their requirementsdeliver practical data solutions including technology, process setup and organisational adjustments from idea to productive and support them through their livecylce ensure data quality and validity of data
Requirements: Mid-Senior level experience, Master's Degree education
Fraudulent: No