Senior Enterprise Data Architect

About the role

We are looking for a Senior Enterprise Data Architect to shape and deliver modern, scalable, and governed data platforms across the organization. The role bridges business needs with secure, high‑performance data solutions that enable AI, advanced analytics, and data‑driven decision‑making.

Key responsibilities

• Define and execute enterprise strategies for AI, data, analytics, and information management.
• Develop long‑term roadmaps for data architecture, AI adoption, data governance and digital transformation.
• Lead the design, implementation and management of data lakes, data warehouses, integration platforms, BI environments and machine‑learning platforms.
• Establish and enhance enterprise‑wide data governance frameworks, policies, standards and operating models.
• Improve data quality, availability, security, privacy, lineage and usability.
• Build organisational capabilities for data literacy and responsible AI use.
• Advise executive leadership on AI strategy, data investments and technology priorities.
• Oversee large‑scale data and AI programmes from strategy through operations.
• Evaluate emerging AI, cloud and analytics technologies and recommend enterprise solutions.

Required profile

• Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, Data Science or a related discipline.
• More than 20 years of progressive experience in data architecture, data engineering, AI, analytics or enterprise architecture.
• Extensive experience in enterprise data architecture, data governance, data management, data warehousing and business intelligence.
• Proven track record leading enterprise‑scale transformation programmes.

Required skills

• Data Architecture
• Data Warehousing
• Data Lakes
• Data Integration
• Business Intelligence
• Artificial Intelligence (AI)
• Machine Learning
• Data Governance
• Software Development