2694 germany English-speaking jobs in Bavaria

Wir bieten What is it like to work at Edwards Lifesciences in Germany? ... This is a new pivotal role within Edwards Germany's commercial structure, working across all Business ... The focus of this role will be to drive the strategic account management (SAM) program in Germany, ensuring ... Edwards Lifesciences in Germany also offers the following benefits: - Competitive Compensation and Benefits

As a Product Manager, you will lead the expansion of Mobile Check-In to new customer segments and reservation types, ensuring a frictionless digital rental experience. You will collaborate with design and engineering to optimize user interfaces and navigate local market complexities. You will establish and monitor KPIs related to digital checkout, funnel conversion rates, and damage funnel usage.

Develop and implement advanced machine learning models to predict customer behavior and optimize business strategies. Translate complex data analyses into actionable insights for top management.

Designs and implements scalable SAP S/4HANA solutions for global mobility operations. Leads technical vision for SAP S/4HANA transformation, focusing on Finance, Controlling, and Sales & Distribution. Collaborates with stakeholders to translate business requirements into robust SAP solutions. Guides SAP development teams and establishes best practices for development, deployment, and operations. Ensures SAP architecture supports reliable and performant enterprise systems.

Develops globally impactful, AI-powered pricing products using modern AI tools and rapid prototyping. Leads a team in designing, building, and evaluating pricing algorithms and statistical models. Independently explores, queries, and interprets complex datasets to drive alignment across pricing, yield, and business stakeholders. Owns product business performance by defining and monitoring KPIs, prioritizing the backlog, and making data-informed decisions. Co-creates and evolves the pricing and yield vision and roadmap, acting as a communication bridge between data science, engineering, and business. Sets the standard for an AI-literate, data-empowered product culture.

Senior Data Scientist will design, develop, and maintain machine learning models and optimization solvers for workforce management and capacity planning. The role requires expertise in time series forecasting, resource optimization, and Python programming.

Develop and communicate a platform roadmap for a rental customer journey backend. Manage competing demands from multiple product owners and work with engineering teams to align on technical feasibility. Distill complex requirements into clean, reusable platform capabilities and APIs.

Designs, develops, and maintains state-of-the-art machine learning models and optimization algorithms. Architects robust CI/CD workflows and self-service capabilities for data scientists. Partners with teams to translate requirements into platform capabilities and drive seamless integration. Establishes and evangelizes MLOps best practices across the organization.

Leads the Data Science Finance team, translating business requirements into technical solutions for risk models and other use cases. Drives technical architecture, cross-team coordination, and operational excellence. Possesses solid ML expertise and proficiency with Python, cloud platforms, MLOps tools, and AI-assisted coding. Has experience deploying large-scale ML models with a deep understanding of model lifecycle, NFRs, production support, and incident management.

Lead, coach, and empower frontend and backend engineers to design and deliver solutions across multiple technical components. Set architectural direction and ensure technical excellence across distributed service architectures on AWS. Guarantee end-to-end consistency across the customer journey and drive AI integration. Collaborate with stakeholders across divisions to ensure smooth and scalable delivery.

As an Operational Excellence & Process Improvement Specialist, you will optimize core business processes, create process documentation, and lead global project workstreams to deliver measurable improvements. You will analyze data, manage stakeholders, and apply methodologies like Six Sigma or agile frameworks.

Conducts comprehensive security risk assessments using AI-powered agents and traditional methods. Reviews and validates AI-generated findings, maintains the security risk register, and delivers risk reports. Tracks risk trends, develops remediation plans, and provides feedback on AI tools.

As a Product Manager, you will own the end-to-end authentication experience for SIXT's global customer base. You will define and execute the product roadmap for the authentication platform, including login, registration, profile management, and secure account access. You will lead the development of loyalty enrollment and membership experiences and collaborate with engineering to architect secure, scalable identity systems.

Builds and maintains security dashboards and reports, leveraging AI and automation to analyze security data and generate insights. Coordinates security risk remediation activities, tracks progress, and escalates overdue items.

This role combines sales training and performance analysis for international franchise partners. You will design and deliver training programs, analyze KPIs, and develop improvement initiatives. Travel is required (approximately 30%).

As a (Senior) Project Manager Insurance, you will lead cross-country projects to reduce claims costs, drive strategic insurance initiatives, and manage international, cross-functional teams. You will analyze data, prepare project documentation, and coordinate with stakeholders.

As a (Senior) Insurance Controller, you will analyze insurance and TCOR data, identify trends, and create reports for Fleet Cost Controlling. You will work with international Corporate Countries, drive knowledge transfer, and handle operational requests regarding fleet insurance contracts. You will also be responsible for monthly insurance billing and ensuring data quality and compliance.

Lead AI-powered product builder shaping the future of vehicle purchasing and sales. Translate business pain points into user-centric product launches in an AI-accelerated development environment. Develop and advocate for a product builder optimal AI-powered development setup. Bring full-stack (ideally backend-heavy) and product/business experience in an AI-supported development environment.

Leads the automated fleet optimization and intelligence stream, ensuring optimal utilization of a global multi-hundred-thousand vehicle fleet. Drives and prioritizes high-impact fleet optimization projects leveraging AI to maximize efficiency. Designs, validates, and iterates optimization models and AI-based decision systems.

Design and implement C++ components for a synthetic environment, ensuring robust simulation solutions. Develop software interfaces and contribute to a service-oriented architecture.