.Head of OE Engagement and Customer Success The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP) - a PaaS offering - which comprises necessary capabilities to store, transfer and analyze data, as well as running data & analytics products. The new Head of OE Engagement and Customer success will be responsible for working closely with the OEs to drive adoption of the platform, support OEs in implementing both global and local initiatives, push decommissioning of legacy data warehouses and other infrastructure, and ensure that customer feedback is channeled into the product backlog of ADP. The candidate will build a team for customer success management, which will be mainly located in Barcelona. You Will Build a high-performing team that delivers customer success management in a complex, international environment according to industry best practices. Establish trustful relationships with key stakeholders (CDOs and beyond) across Allianz Group to ensure that ADP offering stays closely aligned with customer needs. Develop and refine an operating model that allows generating value from data @ scale, significantly accelerating the value delivery by pushing for synchronization between the various data initiatives. Implement a data product management approach and mindset, both within the Allianz Technology team and its customers. Develop and manage a portfolio of data products, identifying consolidation potential to transfer local data products into a globally managed offering. Support the translation of business opportunities into data products and respective technical capabilities. Establish an engagement funnel that orchestrates OE demand towards ADP and DAP in general. Run or support (strategic) projects on data & analytics, both together with Group functions or OEs. Your Skills Strong background in data, analytics, and (Gen-)AI, including a deep understanding of the most relevant technical solutions, which allows you to maintain position as a thought leader in an extremely fast-changing technological environment. General understanding of data architecture and models. Experience in managing data product or customer success teams, bringing tangible experience on best practices from previous jobs. Proven track record in building high-performing teams. Experience in designing data operating models and strategies in complex corporate environments. Experience in insurance or financial services would be beneficial. Previous hands-on experience in building data products (or similar). Strong communication and interpersonal skills, translating business opportunities into data products and technical capabilities. Proficiency in English