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Product Manager for Cloud Data Platform (d/f/m)

Berlin, Germany
Closing date
Jun 3, 2024

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Science, Computer Science and IT, Information Science and Technology
Contract Type
Full Time
Organization Type
Jobseeker Type

Job Details

At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of 50,000 pioneers around the globe. The teams in our corporate functions enable the best in our dynamic businesses and in our people to maximize our company's potential. With our leading brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.

Dare to make an impact?


We want you to be the product manager for our service-oriented data platform. Discussing all business, functional and operational requirements discussing with a dedicated team. Learn about new technologies and solution design of your and future platform components for an evergreen modern platform.
  • You speak with digital product teams for analytical use cases to understand their need.
  • You design and own platform services and focus on technical and functional requirements related to technology applied in any digital product across the entire enterprise, e.g. SME for Databricks
  • You evaluate new technologies when and before they are released in your work with software engineering teams.
  • Leverage experience in complex digital environments to assess and evaluate technology trends and innovations for dx platform strategy, platform roadmap incl. the execution of PoCs or technology reviews.
  • Work on partnerships with global leaders in digital technology to identify additional enhancements for our platform components proactively. E.g. Microsoft, Google, etc.
  • You will work in a small dedicated, empowered agile team that understands and delivers internal customers

  • University degree in computer science (economics), information systems, technical engineering or comparable disciplines
  • Minimum of 3 years of experience in consulting for data and analytics use cases, ideally in modern data platform architecture and concepts, i.e. data mesh, modern data warehouse
  • Product management experience preferred as well as Software engineering experience and mindset in your approach to challenges
  • First experience with cloud-based data and analytical technologies and experience with cloud deployments (Azure preferred) and multiple analytics software products, i.e. Fabric/Synapse, Databricks, SQL Server, Snowflake, Teradata, Tableau, Dremio
  • Good moderation and negotiation skills including very good practical knowledge of agile methodology
  • Excellent English language skills, German is a plus
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations.

JOB ID: 24062257 Contract & Job type: Regular - Full Time Contact information for application-related questions: Please do not use this email address for sending your application or CV. To apply, please click on the "Apply Now" button below. Applications sent via e-mail will not be accepted.


About Henkel


At Henkel, you can make a difference and craft your career. That's why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us.

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