Enterprise Data & AI Integration Architect

With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.

Come join our 31,000+ staff working in nearly 100 countries and share the joy of transforming vulnerable children’s life stories!

Employee Contract Type:
Local - Fixed Term Employee (Fixed Term)
Job Description:
IMPORTANT INFORMATION:

- All CVs should be submitted in English.

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This position is open to candidates based in countries where World Vision International is legally registered to operate.

JOB PURPOSE :

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.

Acting as a trusted advisor and design authority, the architect establishes reusable standards and guardrails; leads current-state, target-state, and transition planning; assures major solution designs; and enables teams to deliver secure, interoperable, cost-effective, and AI-ready capabilities.

The architect provides technical leadership and coordination across a defined portfolio, programme, or architectural domain, segment or global platforms, ensuring consistency, quality, and alignment of solution architectures within their scope, translating enterprise direction into practical guidance for delivery teams. This role bridges enterprise architecture intent and solution execution.

Within the data specialization, the role provides architectural leadership for enterprise data design, data management, and data governance, ensuring solutions align with data standards, regulatory requirements, and approved enterprise architecture direction. This specialization focuses on embedding sound data architecture practices across initiatives while supporting consistent, scalable, and sustainable technology outcomes.
Role mandate:

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Create a coherent enterprise data and AI architecture blueprint, with a pragmatic multi-year roadmap from current state to target state, to achieve and document NorthStar Architecture vision.

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Modernize the data landscape so governed, high-quality data can support operational use cases, analytics, machine learning, generative AI, and agentic workflows.

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Reduce fragmentation, duplicated platforms, tech debt, inconsistent definitions, uncontrolled data movement, and architecture debt in partnership with data governance.

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Embed security, privacy, resilience, regulatory compliance, responsible AI, observability, and cost management into architecture by design.

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Increase delivery speed through reference architectures, approved patterns, data products, reusable components, and clear engineering standards.

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Translate complex architectural trade-offs into decisions that executives, business leaders, risk teams, product owners, and engineers can act on.

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Ensure decision support for data governance, the glossary, and data strategy.

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Support the development of EA principles and human-AI interaction principles and guidelines.

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Master and support the development of the WVI EA Method. Mentor or guide aspiring architects or other professionals.

KEY RESPONSIBILITES:
Enterprise strategy and roadmaps

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Own the enterprise Data and AI architecture strategy, principles, reference architecture and models, standards, and roadmap, aligned with business priorities, transformati