Enterprise Data & AI Integration Architect

About the role

The Enterprise Data & AI Integration Architect defines and evolves World Vision International’s target‑state data, integration, analytics and AI architecture. The role bridges business strategy with technology choices across data platforms, integration, governance, machine learning and generative AI, ensuring secure, interoperable and cost‑effective solutions.

Key responsibilities

• Create a coherent enterprise data and AI architecture blueprint with a multi‑year roadmap.
• Modernise the data landscape to support operational use cases, analytics, ML, generative AI and agentic workflows.
• Embed security, privacy, resilience, regulatory compliance and responsible AI into architecture by design.
• Provide technical leadership across a defined portfolio, ensuring consistency, quality and alignment of solution architectures.
• Design end‑to‑end architectures for strategic solutions, including batch and real‑time pipelines, ETL/ELT, APIs and event‑driven integration.
• Guide the evolution of data lake, data warehouse, lakehouse and semantic layers, defining standards for availability, scalability and cost optimisation.

Required profile

• Strategic mindset to shape investment decisions and governance.
• Hands‑on technical expertise to validate designs, prototype critical patterns and lead complex global solution design.
• Experience mentoring or guiding aspiring architects and other professionals.

Required skills

• Data integration and ETL/ELT design
• API design and event‑driven architecture
• Streaming and real‑time data pipelines
• Data lake, data warehouse and lakehouse concepts
• Enterprise Architecture frameworks (TOGAF)
• Data governance, security and privacy principles
• AI/ML and generative AI integration