דרושים Order Management Specialist ב-Ge Healthcare ב-Poland, Krakow

SAP Warehouse Management & Material Management Consultant will be responsible for operating in lock-step with product management to create a clear strategic direction for build needs for a products in your teams portfolio. You will be working with the team and deliver a clear and descriptive set of requirements to enable the delivery of a products features and functionality. Your priority is seamless integration and alignment of perspectives from a broad set of stakeholders: Product Managers, Technical Anchors, Service Owners and Developers.As the SAP Warehouse Management & Material Management Consultant, you will be responsible for providing SAP Solutions in the Warehouse, Inventory & Material Management areas.

Responsibilities:

• Act as consultant and subject matter expert for various development initiatives in SAP WM and SAP MM area maintaining digital technology and functional peer relationships across the organization.

• Ensure smooth transition for SAP Warehouse and Material Management into SAP S/4 Hana.

• Deliver innovative solutions leveraging related technologies to meet requirements arising from programs, evolving regulatory environment and business development initiatives.

• Support ongoing business operations resolving incidents and realizing continuous improvement opportunities. Contribute to on-going SAP system vitality programs.

• At all times adhere to GxP and IT QMS standards and deliver highest quality process design, functional requirements, configuration, testing and documentation.

• Work closely with relevant business functions across all PDx global sites to maintain a detailed and current knowledge of their organization, processes, priorities and system needs.

• Assist SAP DevOps leadership team in planning by providing resource and development estimates related to upgrades, projects, and new implementations

Requirements:

• Expertise in Warehouse/Material Management/Logistics area in SAP ECC or SAP S/4 Hana EWM

• Proficiency in using and customizing SAP WM/EWM/MM features and functionalities

• Business process analysis, business process design, requirements management, functional design, and implementation experience.

• Knowledge of integrations leveraging different interfacing technologies/tools especially related to integrations with 3rdParty Warehouses.

• Knowledge of key SAP warehousing functionality including Handling Unit Management, RF Mobile Device functionality.

• Analytical skills and ability to form effective solutions.

• A relevant degree from University/College.

• Excellent spoken and written English skills.

Education and Experience:

• Bachelor’s Degree in Computer Science, “STEM” Majors (Science, Technology, Engineering and Math) or Business Management – or equivalent relevant qualification/experience

• Experience with Application Development, Application Maintenance and support preferably within SAP Applications.

As the Data Scientist Specialist, you will be at the forefront of developing and delivering innovative algorithms that generate actionable business insights for key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing.

Responsibilities

• Develop and implement advanced AI algorithms and models to solve complex problems across finance, manufacturing, quality, supply chain, sales & marketing.

• Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making.

• Apply computer vision methods to drive manufacturing efficiencies and improve product quality across the GE Healthcare manufacturing network.

• Collaborate with cross-functional teams to integrate AI solutions into various applications and products.

• Analyze large datasets to extract meaningful insights and improve model performance.

• Design and conduct digital experiments to validate and optimize AI models.

• Present findings and recommendations to stakeholders in a clear and concise manner.

• Collaborate with the MLOps team during AI model development, deployment and monitoring.

• Proactively identify new opportunities to further leverage data science solutions – prioritizing opportunities with the biggest potential benefit to the business.

• Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise.

• Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.

Experience Requirements

• B.S. in Computer Science, Data Science, Engineering or a STEM related field with basic hands-on experience in developing and deploying AI models and applications.

• Proficiency in the latest Python, AWS, Azure, and open-source data science tools such as Jupyter, R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn.

• Proficiency in AI agentic development tools such as AWS Bedrock, Azure AI Foundry, Microsoft Copliot Studio and LangChain/LangGraph.

• Knowledge of RAG architecture, including retrieval mechanisms and generative models.

• Knowledge of deep learning architectures including CNNs, RNNs, and GANs.

• Experience building RAG models and AI agents via AWS or Azure AI services.

• Ability to work with large-scale datasets and perform efficient data analysis.

• Expertise in transformers, self-supervised learning, and generative AI models.

• Strong problem-solving skills and the ability to think critically and creatively.

• Excellent communication skills and the ability to work collaboratively in a team environment.