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• Support in development, quality assurance and product management
• Work closely with team members to ensure successful completion of projects and support roll-out services
• Enable continuous improvement by providing support when needed
• Responsible for vacation planning of direct reports

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

Responsible for managing both development and operations for applications owned by Global Solutions assigned in the Financial and Controlling area from the demand to the delivery. Ensure that assigned systems work correctly on a day-to-day basis and provide troubleshooting for systems as needed....

• 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.

• Yuliya Zvolskaya - Engineering Manager - LinkedIn
• Set technical direction for frontend across multiple teams, building alignment among engineers, product managers, designers and senior stakeholders.

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Design and maintain a Commerce-wide engineering metrics framework to track delivery health and team performance
• Review metrics health at team, product, and portfolio level to surface bottlenecks and delivery risks early

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

Define and drive the next stage of our enterprise-wide Business Process Management and Data Governance journey, building on an already established and mature foundation...

• 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

• Define and execute the global Data & AI strategy, driving business transformation across the organization
• Establish enterprise-wide data governance, ownership models, standards, and accountability frameworks

• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.

Discover unmet platform needs and business opportunities through direct customer engagement, pairing customer empathy with data to develop and shape platform strategy...

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

Drive Platform Vision and Strategy: Define and execute the long-term roadmap for the Cloud Foundations segment, shifting fundamental cloud capabilities into self-service, developer-friendly products....

Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks....

• Standardize Incident Management: Build and champion intuitive, end-to-end processes for incident detection, response, communication, and postmortems across the company.
• Enhance System Visibility: Develop clear, real-time metrics, dashboards, and signals to track system health and incident trends.

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols