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• Business process analysis and design of Lead-to-Order processes
• Cross-country process harmonisation
• Requirements engineering
• Business workshops and stakeholder alignment
• Fit-gap and impact analysis
• End-to-end solution definition
• Backlog readiness and delivery support
• Business validation

• Taking care of the day-to-day operation, maintenance, and continuous improvement of our SAP SuccessFactors environment, with a focus on Employee Central, Learning, and Performance & Goals
• Working closely with the SAP SuccessFactors team and gradually building expertise across additional modules

• End-to-end implementation of automation solutions from initial idea assessment through to retirement
• Assessment of new use cases and mapping of business processes
• Identification of key process improvements

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

• Design and implement SAP logistics solutions in your specialist area, such as Sourcing and Procurement/MM, Sales/SD, Manufacturing/PP, EWM, TM or related processes
• Connect your area of expertise with adjacent end-to-end supply-chain processes and help customers simplify, optimise and digitalise them

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

Configure, implement and optimize processes in General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, Cost Center Accounting, and Product Cost Controlling within the SAP Finance and Controlling (FI/CO) modules...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Take ownership of IT risk, business continuity and operational resilience activities.
• Assess complex IT, vendor, solution and process-related risks and provide clear, actionable recommendations.

• Dedication towards undisturbed business activities by committing to Service Level Agreement
• Ensuring technological architecture meets user requirements
• Executing day-to-day activities according to the agreed service level
• Following instructions of the Team Lead regarding daily work coordination

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

• You help clients achieve their data & AI ambitions on a variety of projects, including:
• Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps.

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

Trusted Advisor: You guide our clients towards successful solutions to their data challenges. You'll lead design sessions, architecture reviews, proof-of-concept projects and evaluation of new data technologies and vendors....

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Roll-out global template solutions for the area of Finance/ Tax
• Solution documentation and implementation
• Test management
• Business process operations including integrated training management
• Evaluation of local GAP and design localization extension for the global template

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Management of product roadmap
• Prioritization of team backlog in alignment with ART Backlog
• Determination of Agile team capacity allocation
• Prioritization of issue resolution
• Coordination of User Stories
• Ensuring approval against Definition of Done
• User story definition and acceptance criteria