[Hiring] Enterprise Data & AI Integration Architect @World Vision

Role Description

The Enterprise Data & AI Integration Architect defines and evolves the organization's target-state data, integration, analytics, and AI architecture. The role connects business strategy to executable technology choices across data platforms, integration, information architecture, governance, analytics, machine learning, generative AI, and knowledge systems. The role operates across all architecture domains: Business, Data, Application, and Technology (BDAT), with particular depth in Data Domain.

• Strategic enough to shape investment and governance, and hands-on enough to validate designs, prototype critical patterns, lead complex global solution design and guide delivery teams.
• Establish reusable standards and guardrails; lead current-state, target-state, and transition planning; assure major solution designs; and enable teams to deliver secure, interoperable, cost-effective, and AI-ready capabilities.
• Provide technical leadership and coordination across a defined portfolio, programme, or architectural domain, ensuring consistency, quality, and alignment of solution architectures.
• Bridge enterprise architecture intent and solution execution.
• Provide architectural leadership for enterprise data design, data management, and data governance.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Business, Enterprise Architecture, or in a related discipline. Master’s or PhD Preferred.
• Enterprise Architecture certifications (e.g., TOGAF) desirable.
• The Open Group Certified Architect (Open CA) Certification (preferred).

Requirements

• Typically 10+ years of progressive experience across data architecture, data engineering, analytics platforms, enterprise architecture, or AI/ML architecture, including at least 5 years leading enterprise-scale architecture decisions.
• Demonstrated ownership of current-state, target-state, and transition architectures for complex, multi-system data environments.
• Strong practical knowledge of modern cloud data platforms, lakehouse/warehouse patterns, data integration, serverless, MSA integration, event-driven architectures, integration modernization, APIs, streaming, orchestration, metadata, lineage, data quality, and master/reference data.
• Experience designing AI/ML or generative AI foundations, including production data pipelines, retrieval patterns, evaluation, deployment, observability, and governance controls using cloud-native and cloud-agnostic technologies.
• Cloud experience in AWS/Azure.
• Deep understanding of security, privacy, resilience, regulatory compliance, and responsible AI requirements in enterprise environments.
• Ability to elicit and translate business capabilities and non-functional requirements into architecture decisions, standards, roadmaps, and executable delivery guidance.
• Evidence of influencing senior stakeholders, facilitating cross-functional decisions, mentoring technical teams, and resolving ambiguity without relying on formal authority.

Benefits

• Join a team of over 31,000 staff working in nearly 100 countries.
• Opportunity to transform vulnerable children’s life stories.

Applicant Types Accepted

• Local Applicants Only