IT System Architect AI & Analytics
Role details
Job location
Tech stack
Job description
In this role, you'll act as a trusted technical partner, shaping powerful AI and data engineering services while leading impactful IT projects from strategy through execution. At the same time, you'll play a key role in strengthening and evolving the IT system architecture of our subsidiaries, ensuring every solution supports business goals and fits seamlessly into the broader IT strategy. If you're ready to create bold, future-focused AI solutions with real impact, this is your opportunity., As IT System Architect AI & Analytics, you'll lead the architecture, design, and implementation of scalable, high-performing AI and analytics solutions, including AI/ML platforms, analytics stacks, and modern engineering practices. In close collaboration with solution architects, data analysts, data engineers, and IT teams, you'll develop reusable reference architectures and guidelines, ensure a consistent and coherent analytics landscape, and translate business needs and complex technical concepts into clear, actionable solution designs aligned with key stakeholders., You'll act as Platform and Service Owner for assigned AI and analytics applications, shaping their strategic direction and overseeing their operational management. You'll also define governance frameworks and best practices to ensure compliant, responsible, and effective platform use in line with regulatory, data privacy, and ethical standards., You'll lead and support IT projects and programs in line with established project management methodologies, ensuring efficient delivery through careful management of budgets, timelines, and resources. In addition, you'll oversee sourcing and contract processes, support negotiations, and manage vendor relationships, service levels, and contract lifecycles to maintain high-quality, cost-effective services.
Requirements
- Higher education in Information Systems, Data Engineering, or equivalent work experience with a strong focus on AI, Data Analytics, LLMs and Software Engineering
- Fluent English skills, German is a plus
- 5 years of work experience in IT software/application areas
- Proven experience with modern data cloud platforms (e.g., Snowflake, Databricks, BigQuery, or similar) and major cloud platforms (Azure, AWS, or GCP)
- Strong background in designing scalable data architectures
- In-depth knowledge of data warehousing, data modeling, and ELT/ETL tools (e.g., dbt, Dagster, Fivetran)
- Proven track record of successful IT project/program management
- Knowledge of integrating commerce, sports, and web solutions with Data Analytics and AI technologies is advantageous
- Travel: 0-10 %