.Semantics Engineer for Supply Chain Management (m/f/d)WHAT YOU CAN EXPECTOur team "Artificial Intelligence (AI) Solutions for Supply Chains" develops innovative solutions to derive insights from data that support better and faster business decisions. We implement (Generative) AI-driven solutions in its complete lifecycle for users in supply chain management around the world. We are looking for a talented Semantics Engineer for Supply Chain Management. With your expertise we want to build new use cases on our (Gen)AI-driven web application for Supply Chain and Logistics more efficiently.About the Job: As a Semantics Engineer for Supply Chain Management, you will support scaling new use cases in our AI-driven Web application that enables us to create a new experience in supply chain decision making.Drive the development of the Data Excellence (Data Products, Semantic Layer, connection of Ontology Management Framework, Graph Tech Stack, Data Catalog, Data Marketplace, ... etc.)Ensure seamless integration of Data Excellence components (e.G., OMF with the BASF Data Catalog), collaborating closely with the Product Owners, Solution Architects and data analysts.Automate processes and workflows to streamline operations and synchronize data with connected systems.Collaborate within the product team to understand supply chain decision making rules, devise new features, and implement solutions that facilitate dynamic data interactions.Support the transition from project phase to successful operations for the new AI-driven Web Application for supply chain decision making.RESPONSIBILITIESWork in a team with experienced data scientists, data & software engineers & product owners and create scalable, reusable and performant data-driven applications running in productive environments.Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for knowledge graph & ontology development to other teams.Drive the sustainable implementation of our new GenAI-oriented Supply Chain Intelligence platform, including:Data integration for various Supply Chain AI solutions.Utilizing enterprise data product, semantic and ontology concepts.GenAI functionalities.Create product requirement documents and maintain it in an agile working mode, e.G. in Azure DevOps boards and tasks.Work in an international and agile DevOps environment and apply agile principles for setting priorities and managing multiple stakeholders in a challenging business environment.Share your knowledge and expertise with colleagues and promote a culture of data-driven innovation within the organization.Manage communication with external vendors to validate the landscape design & integration concept.QUALIFICATIONSBachelor's or higher degree in information technology, computer science, natural sciences, or a related field