Group Head of Data and AI Architecture

About The Role CME Group is seeking an experienced and visionary Head of Data and AI Architecture to lead the design, development, and governance of our group-wide data architecture. This role plays a critical part in modernizing CME’s data platforms, ensuring scalability, security, and regulatory compliance while enabling advanced analytics, business intelligence, and AI-driven innovation. Ready to build the next generation of CME’s data ecosystem? Apply now and join our team in Prague.

What You Will Be Responsible For

Define and implement the group-wide data architecture vision aligned with business and regulatory requirements.

Lead the migration from legacy and on-premise systems to modern, cloud-based data platforms (Azure, AWS, or GCP).

Harmonize data models, reporting structures, and semantic layers across all CME markets.

Architect and oversee scalable data platforms, including data lakes, warehouses, and semantic layers.

Ensure efficient and secure ETL/ELT processes and seamless integration of internal and external data sources.

Maintain and optimize data pipelines for reliability, performance, and security.

Establish and maintain data governance frameworks covering data quality, classification, retention, and access control.

Ensure full compliance with GDPR, the EU AI Act, and other relevant regulations.

Collaborate closely with compliance, IT, and information security teams at both group and local levels.

Partner with Data Engineers, Analysts, Scientists, and business stakeholders to ensure high-quality, accessible data for analytics and decision-making.

Support business intelligence, non-financial reporting, and digital transformation initiatives.

Act as a key partner in vendor and technology discussions related to data tooling and infrastructure.

Monitor global trends in data architecture, analytics, and AI integration.

Promote the adoption of modern technologies and best practices across all markets.

Lead or contribute to cross-country projects aimed at enhancing data capabilities and reporting standards.

What You Will Need to Succeed

At least 10 years of experience in enterprise data architecture, ideally within multi-country or matrixed organizations.

Proven leadership in data platform modernization, cloud migration, and cross-functional collaboration.

Deep expertise in data modeling, ETL/ELT design, BI tools (e.g., Power BI, Tableau), and data governance.

Familiarity with AI integration into data workflows (e.g., semantic search, predictive analytics).

Strong stakeholder management and communication skills, with the ability to align technical vision and business goals.

Excellent communication and collaboration skills in English; other CEE languages are a plus.

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