Product Manager Data Lake Transformation

Job content

As Product Manager Data Lake, you drivetogether with the leadership team the transformation of our on-premise data platform into the public cloud. You play a key role in the smart data company journey.

• Collaborating with your peers, create synergies and foster portfolio alignment
• Build solid, data-driven business cases to ensure the success of our analytics product portfolio
• Collaborate with architecture and engineering teams to navigate complicated technical challenges and enable Swisscom to provide the best customer experience
  
  

Team Our Data Lake team is part of Swisscom’s Data, Analytics, and AI division. We are dedicated to developing and operating the best data lake platforms and analytics tools that are the foundations for the whole of Swisscom to become a data-driven company.

The topics Our agile release train consists of several teams that develop and operate the data platforms that generate insights for the whole of Swisscom. As a product manager, you own the program backlog and drive the strategic vision and roadmaps of these products. You are accountable for defining, measuring, and evaluating the business impact metrics and benefit hypotheses, driving overarching objectives and establishing feature acceptance criteria. The highlights of this position are:

• You will directly contribute to making Swisscom a smart data company
• You will work in a fun and dynamic environment with highly talented colleagues
• You will work on future-oriented topics and state-of-the-art technology
  
  

Your profile

• Degree (ETH/Uni/UAS) in Computer Science, related fields, or relevant work experience; MBA or similar degree is a plus
• Passionate product leader with at least 7 years of experience in product management
• Experience in operating large scale IT solutions in a telecommunications or related environment
• Experience in building product portfolios in a scaled agile development environment (e.g., SAFe)
• Experience in ML/AI applied to understand of data warehousing, big data, and data science
• Strong customer focus, self-driven, strategic, and long-term thinking, able to prioritize with operational excellence
• Ability to communicate effectively with diverse stakeholders across technical and business domain
• Ability to motivate, mentor and coach colleagues in particular Product Owners
• Strong team player that puts the team first
• Ability to negotiate within a complex landscape of diverse stakeholder interests and create alignment