14 English-speaking jobs in Koblenz

The AI Lead Product Manager - Data will own and drive the strategy and execution of AI-powered Health Data Products. This role requires an individual who combines deep product expertise with the ability to build and inspire high-performing teams. The successful candidate will define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.

Identifies and evaluates market trends for IaaS and PaaS services. Creates managed services portfolio roadmaps and designs new global managed cloud services. Manages end-to-end service offers and supports sales and presales teams.

Responsible for identifying market trends and new technologies for SAP application management services and cloud solutions. Designs global managed services offerings and supports sales and presales teams. Maintains product documentation and provides product knowledge to internal teams. Requires a degree in (business) information technology, economics, or a comparable field and 3-5 years of experience in SAP AMS. Fluency in English and/or German is required. Occasional travel is expected.

Regional Delivery Assurance Manager (f/m/d) will manage delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role requires 5+ years of experience in SAP project delivery, 3+ years in risk management and quality assurance, and fluency in English.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.

The Regional Delivery Assurance Manager will implement and execute delivery assurance processes for selected consulting projects, including risk reviews, risk assessments, and quality assurance reviews. The role also involves financial monitoring, escalation management, and supporting process improvement initiatives.

Product Manager for SAP Application Management Services will identify market trends, create managed services roadmaps, and design global services offerings. Responsibilities include end-to-end service offer management, product documentation, and providing product knowledge to internal teams.

Product Manager for SAP Managed Cloud Services will identify market trends, create managed services roadmaps, and design new global cloud portfolio services. Responsibilities include end-to-end service offer management, maintaining product documentation, and providing product knowledge to internal teams.

Develop and integrate ERP/CRM solutions (Dynamics/Microsoft Business Central), focusing on containerized applications and COTS product integration. Analyze business requirements, design custom modules, and ensure code quality through reviews and testing.

LRL is recruiting experienced Pod Builders and Riveters for an 8-week project in Germany. The client is a major international logistics and distribution business.

As a Change Enablement Lead, you will plan and manage change initiatives to drive the transformation of support, service delivery, and IT operations teams across 19 countries. You will define success criteria, design training programs, and identify resistance to ensure sustainable change adoption.

Responsible for the end-to-end customer incident process, from intake to resolution. Analyzes customer impact patterns, identifies root causes, and drives process improvements. Collaborates with Support, Product, and Engineering teams to ensure seamless customer experience. Develops and maintains incident response playbooks and leads structured postmortems.

Responsible for the end-to-end customer journey in support and service, from initial inquiry to resolution. Analyzes friction points, drives improvements based on data, and leverages tools to increase customer satisfaction.

Build and operate the analytical data foundation for COO functions across the entire customer journey. Develop a unified KPI logic, design dashboards, and create clean data structures for AI and automation solutions.