Senior Business Data Architect - Global Finance Transformation

You will be part of the Global Finance Transformation Team for the strategic project, predominantly
focusing on delivering the data lake for Finance Globally.

• Shape and own business-driven data models that enable consistent finance reporting, planning, and analytics across the organization
• Act as the key bridge between Finance and technology teams, translating business needs into scalable data structures and solutions
• Design and oversee end-to-end data flows from source systems into the global finance data hub
• Establish and drive clear data definitions, standards, and governance principles to ensure trusted and reusable data
• Collaborate with stakeholders across functions to embed harmonized data structures and support the transformation journey

For a one of the global and international leaders in the Re/Insurance industry, we are seeking for a seasoned Business Data Architect who has experience in data architecture design and implementation, ideallywith an AI-first approach, within finance contest, also beyond insurance contest.

• Proven experience (10+ years) in data architecture, data modelling, or similar roles within complex transformation environments
• Strong understanding of finance processes and the underlying data dimensions, including how local and group structures differ and interact
• Ability to translate business requirements into structured data concepts and models
• Experience working with modern data platforms or cloud-based data environments (e.g., lakehouse architecture, snowflake, data bricks)
• Strong communication skills with the ability to engage and align both business and technical stakeholders
• Strong AI mind set, ability to design process with an “AI first” mindset
• CDMP or equivalent data management certification is highely desired

2 minutes to your next impact and challenge:

Apply directly via our website before the deadline on Tuesday, 16TH June, 10:00 AM. We will contact the potential candidates for a short first interview.