Data Architect

Description

Summary: Join a team as a subject matter expert in Data Architecture, providing innovative solutions and contributing to business-wide improvements, focusing on generative AI. Highlights: 1. Discover new possibilities and inspire innovation through your expertise. 2. Make a meaningful impact with deep knowledge in Data Architecture. 3. Leverage and customize generative AI models to enhance products. **THE WORK:** Discover new possibilities and inspire innovation. You will be a subject matter expert with deep knowledge and experience, using influencing and advisory skills to engage with multiple groups and contribute to collective decisions. You will provide solutions that address challenges across various areas and support business\-wide improvements. This role embraces the principles of Data Architecture, inviting you to make a meaningful impact through your expertise. Join us and be part of a journey that values your insights and encourages your growth. Define and develop data migration and modernization architecture, including data product architecture. Implement strategies for managing the data lifecycle effectively. Leverage, customize, and implement generative artificial intelligence models, algorithms, and methodologies to enhance the quality of generative artificial intelligence products, applications, and systems. Analyze and evaluate the performance of generative artificial intelligence systems and provide design recommendations. Architect and design end\-to\-end generative artificial intelligence products, applications, and solutions tailored to specific business needs. Provide guidance and support during the implementation and delivery phases of generative artificial intelligence solutions. **HERE'S WHAT YOU WILL NEED:** Master proficiency in Data Architecture Principles. A minimum of 12 of experience in relevant related skills. Bachelor's Degree in relevant field of studies. **BONUS POINTS IF YOU HAVE:** Master proficiency in AI \& Data Processes. Master proficiency in AI \& Data Strategy. Master proficiency in Data Access. Master proficiency in Data Taxonomy. Advanced proficiency in data modeling and integration techniques.