Your key responsibilities will include:
- Designing the long-term strategy for a global analytical data model, considering the diversity of source systems and business processes across all InPost markets.
- Defining the framework and methodology for data model development, including standards, design principles, and implementation guidelines.
- Establishing and maintaining a group-wide data naming and classification strategy, harmonizing existing structures and ensuring consistent adoption across teams.
- Partnering with senior stakeholders from multiple countries and domains to identify, prioritize, and align data initiatives with business objectives.
- Acting as a subject-matter expert for modern analytical architectures, continuously evaluating emerging technologies and recommending improvements.
- Supporting data engineering and analytics consulting teams through mentoring, training, and design reviews, covering theory, tools, and best practices.
- Creating and maintaining clear, multi-layered technical documentation describing data structures, modeling rules, and architectural decisions used across the InPost Group.
- Ensuring scalability and performance of analytical solutions by guiding optimization strategies for large data volumes.