Group Head of Data and AI Architecture
from 4 000 EUR/m
Praha
The stated amount of salary represents the minimum guaranteed amount and will be specified based on your experience and expectations.
The stated amount of salary represents the minimum guaranteed amount and will be specified based on your experience and expectations.
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.
Who we are? https://www.cme.net/
What You Will Be Responsible For?
Strategic Data Architecture
- 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.
Data Platform Design & Management
- 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.
Data Governance & Compliance
- 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.
Collaboration & Enablement
- 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.
Continuous Improvement
- 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.
Who will contact you?
Lýdia Judičáková
Recruitment Specialist
Vanda Puchalová
HR Talent Sourcer
What happens after you send us your CV?
1. Step
As soon as we receive your application, our team will carefully review it. We`re excited to explore your experience and skills to see if they align with the role’s requirements.
2. Step
If your profile matches what we’re looking for, we’ll contact you by phone to discuss the next steps. Even if this isn’t the right fit this time, we’ll make sure to let you know.
3. Step
For certain positions, we might invite you to complete a practical assignment or a personality questionnaire. This helps us better understand your strengths, work preferences, and how you solve specific challenges.
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