Data Scientist

• Own and lead the Prague Data Science team
• Help build and shape the Prague office
• Set team standards for work quality and interpersonal conduct
• Develop team members through trust-based management and structured feedback
• Set meaningful goals and create conditions for high performance
• Support onboarding of new joiners
• Balance project capacity and flag resourcing risks
• Coordinate staffing with Munich
• Keep project budgets on track
• Deliver complex data science and process intelligence projects from idea to completion
• Design scalable, simple, sustainable, secure, and maintainable solution concepts
• Use process mining, AI, and advanced analytics to optimize business processes
• Translate data into business decisions and measurable client impact
• Build client relationships and align expectations with delivery
• Identify opportunities for additional value within existing accounts
• Contribute to long-term client success

Data Science Team Lead

• Ensure smooth delivery and continuous evolution of a modern AI & Data platform
• Own day-to-day backlog management
• Coordinate releases and manage cross-team dependencies
• Align priorities with key stakeholders across the organization
• Drive execution and facilitate collaboration between business and technical teams
• Support planning, prioritization, and delivery governance
• Own the platform feature-level backlog, including ordering and readiness of incoming work
• Translate platform demand into actionable backlog items
• Act as the platform’s day-to-day stakeholder interface toward stream leads
• Represent the platform team in operational coordination
• Coordinate dependencies, delivery risks, release readiness, changes, releases, and handovers
• Support adoption of platform services
• Maintain usable platform service documentation standards

Data Lead

• Own the platform feature-level backlog, including ordering and readiness of incoming work
• Translate platform demand into clear, actionable backlog items aligned with platform priorities and constraints
• Own the platform’s day-to-day stakeholder interface toward Stream Leads and Epic Owners
• Represent the platform team in operational coordination
• Align scope, priorities, dependencies, and delivery implications
• Coordinate dependencies, delivery risks, release readiness, changes, releases, and handovers
• Support adoption of platform services, including clarity of offering and usage expectations
• Maintain current, usable platform service documentation standards
• Coordinate and represent the platform team without taking technical, strategic, or people decisions assigned to other accountable roles
• Align scope, deadlines, and solutions with the team