Cloud Data & AI Platform Architect

About the role

The Cloud Data & AI Platform Architect defines and drives the architecture, governance, adoption and evolution of enterprise Data & AI platform capabilities. The role sets platform standards, architecture principles, service offerings and onboarding frameworks so Business Divisions can use shared Data, Analytics and AI capabilities securely, efficiently and consistently, while adapting support to each division's maturity. It is central to scaling the platform footprint from Cloud Foundation to Data & AI.

Key responsibilities

• Define and maintain the Cloud Data & AI Platform vision, strategy and roadmap, and establish services covering Data, Analytics, AI and automation.
• Define service offerings, consumption models, the enterprise AI Gateway architecture, and MLOps and LLMOps standards, including model lifecycle management, monitoring, retraining, drift detection and model governance.
• Develop architecture principles, standards and reference architectures, and reusable patterns for analytics, data products, AI solutions, agents, copilots and business automation.
• Establish platform governance, architecture review and onboarding processes, aligned with enterprise architecture, security and compliance, including security baselines, data protection, encryption, key management, secret management, data residency and sovereignty controls.
• Work with the Data Governance team on data governance standards, policies and classification, and define requirements for data catalog, lineage, metadata, quality and retention, reviewing Purview integration design.
• Engage Business Divisions through discovery workshops and use-case assessments, act as the main subject matter expert, and promote adoption of platform services.
• Assess division maturity and define a tiered engagement model: self-service for capable divisions and hands-on architecture support for others, with solution blueprints, accelerators and clear exit criteria.
• Define platform cost governance, chargeback/showback approaches and consumption policies, review consumption trends, support investment planning and capacity forecasting, and communicate strategy and priorities to stakeholders.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or a related discipline.
• 8-12 years of experience in Enterprise Architecture, Cloud Architecture, Data Platforms, AI Platforms or Solution Architecture.
• Experience designing enterprise-scale Data, Analytics and AI platforms, engaging senior business and technology stakeholders, and defining platform strategies, governance frameworks and tiered support models.

Required skills

• Azure Solutions Architect Expert certification preferred.
• Microsoft Fabric and Microsoft Foundry-related certifications advantageous.