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• Further develop and maintain a group-wide AI Risk & Security Management System
• Evaluate specific AI implementations, balancing risk & benefit
• Act as trusted advisor to senior management on security measures for AI

Lead the maintenance, development and continuous enhancement of the Antimicrobial Sales and Use (ASU) Platform and its associated digital tools and processes, including visualisation tools and Power BI dashboards supporting surveillance outputs....

Hands-on execution is at the core of what you do: designing, building, and shipping code across the full stack, from frontend to backend...

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

• 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.

• Participation in SAP DRC implementations, rollouts and other projects to deliver country specific solutions in the VAT, tax and reporting areas
• Provision of professional SAP advisory on the VAT, tax and reporting areas for Clients

• Implementation of IT projects
• Acting as an interface between business units and IT service providers
• Planning and coordinating IT (sub-)projects
• Executing IT projects with budget responsibility
• Assessing and evaluating requirements regarding IT strategy, IT architecture, and compliance standards

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

Design, develop, and maintain custom ServiceNow solutions across the platform, leveraging App Engine, JavaScript, Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions, and Flow Designer....

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• 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

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Project & Service Delivery Management
• SLA & Performance Management
• Risk, Change & Problem Management
• Customer Relationship & Communication

• Új projektek DevOps-, infrastruktúra- és platformoldali támogatása a fejlesztési és üzemeltetési követelmények egyeztetésétől az éles bevezetésig
• CI/CD-folyamatok tervezése, kialakítása és fejlesztése valamennyi alkalmazási környezethez Git-alapú működéssel és automatizált deploymentekkel

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.