Principal IT Data Lead (Cross-Border - Snowflake)

We are looking for a Principal IT Data Lead (Snowflake) to define and drive the data strategy for our global Cross-Border & Transport business. This is a high-impact role focused on enabling end-to-end visibility, performance management, and decision-making across a complex, multi-country logistics network.

You will lead the evolution of our data landscape towards a modern, cloud-based ecosystem, while ensuring the business can leverage trusted, scalable, and actionable data through self-service analytics, advanced insights, and AI-driven use cases.

This role operates at the intersection of business, data, and technology, with end-to-end responsibility for enabling performance, visibility, and decision-making across the cross-border network.

Your role

• You act as the owner of data strategy and performance insights for the cross-border business.
• You partner closely with senior stakeholders across operations, finance, commercial, and IT to translate business challenges into data-driven solutions with tangible impact.
• You combine strategic thinking with a pragmatic, delivery-focused mindset to build both data foundations and business value.

Key responsibilities

• Define and drive the data strategy for Cross-Border & Transport, aligned with business priorities
• Enable a control tower capability providing real-time operational visibility and decision support
• Develop and evolve KPIs, data models, and performance frameworks such as cost-to-serve, SLA tracking, and shipment visibility
• Deliver actionable insights to support strategic and operational decision-making
• Lead the transformation towards a modern, AI-ready data platform such as Snowflake or Databricks
• Ensure data quality, governance, and consistency across countries and systems
• Drive self-service analytics through scalable semantic models and certified datasets such as Power BI
• Shape event-driven data capabilities and support near real-time use cases
• Partner with IT and engineering teams on data architecture, tooling, and roadmap
• Influence and align senior stakeholders across business and technology
• Build and scale data capabilities, products, and ways of working across regions