Bi állások, munkák

As Chief Product Officer, you take overall responsibility for Product Management, Tech/Software Engineering, and Business Intelligence. You report directly to the CEO and are a member of the Core Leadership Team. The role is deliberately technical: We are looking for a CPO who combines product...

• Supporting the validated and non-validated production PLM systems by resolving access, incident and change requests
• Enhancing user experience of PLM systems
• Requirement gathering, analysis, build, and test
• Build and deployment procedures and version control

• Translate business requirements into analytics solutions and collaborate across the full project lifecycle.
• Operate and optimize data pipelines (ERP, S2P suite, AP, vendor master) with strong governance and master data management standards.

• Role mining for business roles based on the functional task in each department in the organization
• Use of business roles to cluster the birth rights and functional entitlements for each employees joining the organization
• Enhancement of Movers and Leaver Process with the use of business roles

• Design, development, and operation of data-driven PMO reporting and process solutions using Microsoft Power Platform, Python, and cloud technologies
• Integration and harmonization of data from different systems related to planning, reporting, and project management

• Coordinate and contribute to the MSESE Group business strategy process, including identifying and implementing focus initiatives for the Group and/or individual regions
• Track and report performance metrics / KPI for business monitoring and strategy consideration to the Management Board

• Salesforce development and solution delivery
• Design and implementation of scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components and Aura Components

• Work on reporting, controlling and accounting related tasks in the complete lifecycle of a contractual relationship.
• Maintain and develop performance management reports in commercial areas.
• Issue invoices and credit notes based on reports.
• Execute on period of account closings activities.

Support Production & Capacity Planning: Analyze production data to understand capacity, identify bottlenecks, and support stable and efficient production flow....

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

Conducting comprehensive product and brand line reviews with assigned customers, including assortment recommendations, segment trend performance analysis, and development of strategies and tactics to drive sales and margin growth for both customers and Clarios....

• Supporting the FP&A efforts of the Chromatography & Mass Spectrometry Division within the Analytical Instruments Group
• Reporting to the Senior Manager of Division FP&A
• Forecasting, reporting, and consolidation processes with high visibility to Division and Finance Leadership teams

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Transform vague client ideas into concrete product scopes defining the what the why and the how
• Define the ideal team setup and project phases for every new engagement
• Create realistic effort and time estimates ensuring proposals are competitive and commercially viable

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality