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.

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:

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.

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

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

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

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

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

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

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

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

KEY RESPONSIBILITES:

Enterprise strategy and roadmaps

Own the enterprise Data and AI architecture strategy, principles, reference architecture and models, standards, and roadmap, aligned with business priorities, transformation outcomes, risk and investment constraints.

Identify impacts, dependencies, and constraints across all other architecture domains (BDAT) and security.

Assess the current data estate, identify capability gaps and technical debt, define target-state and transition architectures, and sequence modernization into achievable investment increments.

Advise senior leadership on platform strategy, operating model, sourcing, build-versus-buy choices, vendor concentration, and the business implications of fragmented or under-governed data.

Maintain decision records, capability maps, architecture debt registers, and measurable adoption plans so strategy remains connected to delivery.

Maintain architecture lineage from vision and capabilities through to technologies.

Architecture practice and solution design

Own the full Business, Data, Application, and Technology (BDAT) architecture for key strategic solutions, potentially working individually or with Solution Architects.

Design end-to-end architectures for key strategic solutions.

Design Architecture Building Blocks, Solution Building Blocks, and coordinate creation of associated patterns.

Elicit business and functional requirements into implementable technical designs

Ensure alignment with enterprise standards, principles, patterns, and target architectures

Identify architectural risks, constraints, and trade-offs early

Produce fit-for-purpose architecture artefacts (e.g. solution overviews, diagrams, ADRs) aligned with the TOGAF-based WVI EA/SA Methodology and ADS (Architecture Description Specification) for all BDAT (Business, Data, Application, Technology) domains and lifecycle phases.

Maintain and develop baseline (as-is), transitional, and target architecture work products, and identify patterns or reusable Solution Building Blocks for the architecture content repository.

Perform impact and root-cause analyses for changes and transitional architectures.

Challenge and map business value quantified in the business case to functional requirements and candidates for solution architecture and design using value streams or other techniques

Perform evaluations and cost breakdown analyses across BDAT domains, technology-stack layers, and project phases.

Contribute to method development and share back to the architecture community.

Contribute to RFP drafting and evaluation, and participate in vendor meetings.

Lead architectural decision-making across a defined domain, platform, or portfolio scope

Ensure solution architectures within scope align with enterprise standards, patterns, and approved target architectures

Translate enterprise architectural guidance into clear, actionable design direction for Solution Architects and delivery teams

Coordinate architectural decisions across related initiatives to ensure consistency and reuse

Data platform and integration architecture

Design scalable, resilient, and secure architectures spanning ingestion, storage, transformation, processing, serving, and consumption across cloud, hybrid, and—where required—multi-cloud environments.

Define fit-for-purpose patterns for batch and real-time pipelines, ETL/ELT, change data capture, APIs, event-driven integration, streaming, data sharing, and interoperability with operational systems.

Define and develop MSA and event-driven architectures and patterns.

Guide the evolution of data lake, data warehouse, lakehouse, semantic, knowledge, and analytical serving layers, including workload placement and separation of concerns.

Set standards for availability, disaster recovery, scalability, performance, observability, data lifecycle, environment strategy, and platform cost optimization.

Evaluate platform services and vendor solutions objectively; prevent avoidable lock-in through portable data, interfaces, metadata, and architecture contracts.

Information architecture, modeling, and data products

Define enterprise information models, do