About the Role
We are seeking an experienced Data and AI Architect to lead the development of enterprise data architecture while integrating AI and MLOps capabilities. This role focuses on enabling trusted analytics, developing scalable AI solutions, and implementing strong data architecture and governance practices throughout the organization.
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Key Responsibilities
- Lead the development and evolution of the enterprise data architecture, incorporating AI and MLOps capabilities.
- Design scalable and robust data architectures to support analytics, AI, and business requirements.
- Enable the trusted and effective use of enterprise data for analytics and AI solutions.
- Establish and maintain data architecture and governance practices across the organization.
- Support the scalable deployment and integration of AI solutions within the enterprise.
- Collaborate with business, technology, data, and AI teams to align architecture with organizational objectives.
Requirements
- Bachelor’s degree in Computer Engineering or an equivalent qualification.
- 15+ years of relevant professional experience in data architecture, enterprise architecture, AI, or related fields.
- Strong experience in enterprise data architecture and data governance.
- Knowledge of AI architecture and MLOps and their integration with enterprise data platforms.
- Experience designing scalable data and AI solutions for enterprise environments.
- Strong communication, stakeholder management, and technical leadership skills.
