Darum lohnt es sich
You will define product vision, prioritize features, and work with engineering teams to transform complex data into intelligent risk insights. /p h3Responsibilities /h3 ul liDefine product roadmap for data pipelines, ML models, and analytics dashboards. /li liGather user requirements from underwriters, actuaries, and risk consultants. /li liPrioritize backlog based on business impact, risk value, and technical feasibility. /li liWork closely with data engineers and ML specialists to prototype and iterate. /li liOversee product delivery, validate feature quality through metrics and user feedback. /li liEvangelize AI‑driven products internally and with client stakeholders. /li /ul h3Qualifications /h3 ul li5+ years in product ownership, management, or consulting in data/AI domains. /li liStrong understanding of data engineering, ML lifecycle, and cloud ecosystems. /li liExcellent stakeholder communication, able to translate business needs to technical teams. /li liAgile/Scrum experience. /li liFluent in English; German is a plus. /li /ul /p #J-18808-Ljbffr ph3Position /h3 pData AI Product Owner – Zurich/Hybrid 80‑100% /p pAs a Data AI Product Owner, you will be the voice of users in shaping data and AI‑powered products for risk analytics.
