Enterprise AI Architect (f/m/d)

Your area of work:

Deutsche Börse Group is strengthening its position as leader in creating the marketplace of the future.  

Enterprise Architecture plays an important role in this by aligning Business and Technology Strategy, as well as acting as change and transformation agent. As Enterprise AI Architect you will play a key role in defining group-wide standards, architecture best practices, building group-wide end to end services, and fostering innovation by exploring and evaluating AI trends.  

To strengthen the team, we are looking for an experienced Enterprise AI Architect (f/m/d) to take responsibility in an interesting and dynamic international environment. 

 

Your responsibilities:

• Contribute to the establishment of an AI CoE, to help deliver on desired business outcomes, model selection, data consumption and talent growth 
• Lead the identification and documentation of the baseline and target enterprise AI architecture, identify and define strategy to close gaps in the groups approach to AI, and lead implementation of an AI architecture roadmap 
• Align with Business, Architecture, Operations, Governance and Security subject matter experts to maintain the Enterprise AI Registry and Enterprise Architecture Repository  
• Monitor key business performance indicators to ensure IT activities are aligned to business objectives, and support the definition and control of appropriate metrics and provide appropriate guidance and support on AI Architecture concerns to programmes and projects 
• Improve the maturity level of architectural approach to AI, and AI discipline across the organization  
• Assess industry, technology, and market AI trends early in the adoption lifecycle to determine their potential impact on the Enterprise 

 

Your profile: 

• University Degree in Computer Science, Business Informatics or similar experience 
• Over 10 years of working experience in Information Technology or IT strategy consulting 
• Experience structuring AI practices, leveraging public cloud, and data protection 
• Experience in machine learning lifecycles, model management, and AI ethics  
• Knowledge of technology solutions with the desire to learn and work quickly with emerging technologies. 
• Knowledge of financial markets would be beneficial 
• Excellent oral and written communication skills, fluent in English