We are looking for an experienced Data and AI Architect to lead the development of enterprise data architecture and integrate AI and MLOps capabilities. The role will focus on enabling trusted analytics, scalable AI solutions, and strong data architecture and governance practices across the organization.
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
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.