3 data management jobs found in Munich

Join the cavalis team At cavalis, we believe the next generation of consulting is hands-on, data-driven and powered by AI. We are looking for Data Science & Management Consultants who combine analytical thinking, process expertise and data understanding to deliver measurable business impact. In this role, you will work directly with our clients, from scoping challenges to translating data into actionable insights. You will implement advanced analytics and process intelligence use cases, and you will ensure that our clients unlock the full potential of their data and operations. About us cavalis is a boutique consultancy headquartered in Munich, founded by former Celonis leaders. Our mission is to build the Data Intelligence Factory of the future. We are rooted in process mining excellence, but our vision goes further. We transform enterprise data into tangible outcomes by combining process expertise, data science and AI. Our founders have helped shape the...

Companies in the veterinary and animal feed sectors require qualified support for the development and approval of their products. KLIFOVET GmbH, part of the Argenta Group, is an internationally recognised provider of expert services in the veterinary medicine and animal feed sector based in Munich. We support our customers from the idea, through development, to approval and beyond. Service for our customers determines our actions. Founded in 1997, we are considered as a global leader in animal health product development; Argenta and Klifovet have been awarded multiple times as the best service provider or the best contract research organisation in the animal health space internationally. Like the animal health industry, Argenta including Klifovet is growing continuously. To support our team, we are currently seeking a: Clinical Data Manager   (m/f/x) – Full-time or Part Time Your tasks: Planning study-specific setups for data collection in various EDC and...

Your tasks: Data Architecture & Integration:   Development, implementation & further development of scalable data concepts and architectures (e.g., Data Lakehouse) for data integration as well as implementation of BI & Advanced Analytics. Lifecycle support & strategy implementation:   Supporting the platform manager throughout the entire lifecycle and advising on the implementation of data & AI strategies. Data landscapes & use cases:   Reviewing data sources, quality & suitability for use cases, identifying potential value enhancements and end-to-end project management of data & AI use cases. Process basis & automation:   Documentation of processes and identifying and developing optimizations through automation & AI Standards & Reuse:   Maintenance, implementation and improvement of reusable standards & projects in the data & AI field Technologies, Partners & Compliance:   Selection support,...