As a Senior Product Manager – AI & Analytics, you will be responsible for end-to-end digital products and AI/Advanced-Analytics use cases along the value chain. You will bring topics from problem definition to MVP, to production readiness, rollout, and adoption – with a clear focus on measurable business impact, operational transparency, and stable integration into regular operation.
Requirements
- Completed studies (Bachelor/Master) e.g. in (business) computer science, data science/analytics, (business) engineering, business administration, etc. or IT-related training with several years of relevant professional experience.
- Several years of experience in digital/data/AI-related product or project roles (discovery, delivery, operation) including stakeholder and vendor management.
- Very good requirements engineering, strong prioritization according to business value, and experience with rollout & adoption in the organization.
- Secure in the creation and tracking of business cases, KPIs, and outcome-oriented control.
- Very good understanding of data platforms (data warehouse/lake), integrations (API/event), and analytics/BI (e.g. Power BI).
- Solid AI understanding (model lifecycle, monitoring, data quality, governance/compliance-by-design).
- Beneficial: domain knowledge in logistics/transport (operations/terminal/asset-near processes), experience with industry data standards, and E2E communication workflows (e.g. TAF TSI/EDIGES) as well as certifications/continuing education in product/agile, project/program management, data/cloud/BI, responsible AI.