Enterprise Data & AI Architect: Strategy & Modernization

World Vision International (New)

Philippines

Hybrid

PHP 300,000 - 550,000

Full time

14 days+

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Job summary

World Vision International seeks an Enterprise Data & AI Integration Architect to define and evolve architecture across business, data, application, and technology domains. You will specify target-state data platforms, governance, and AI-enabled capabilities while guiding delivery teams and ensuring secure, scalable, and cost-effective solutions globally.

You will lead architecture for data design, data governance, and AI integration, embedding responsible AI, observability, and cost management

Qualifications

  • Bachelor's degree in Information Technology, Computer Science, Business, Enterprise Architecture, or related discipline.
  • Master’s or PhD preferred; MBA an advantage.
  • Enterprise architecture certifications (e.g., TOGAF) desirable; Open CA preferred.

Responsibilities

  • Own the Data and AI architecture strategy, principles, reference architectures, and roadmaps for BDAT domains.
  • Design end-to-end architectures for key strategic solutions across data, integration, and AI foundations.
  • Lead architecture governance, reviews, and delivery assurance across programs and platforms.
  • Mentor architects and delivery teams, translating enterprise guidance into actionable design decisions.

Skills

Architectural leadership
Stakeholder influence
Cloud data platforms
AI/ML foundations
Requirements elicitation

Education

Bachelor's degree in IT/CS/Business/EA
Master’s or PhD preferred
TOGAF/Open CA certification desirable

Job description

World Vision International seeks an Enterprise Data & AI Integration Architect to define and evolve architecture across business, data, application, and technology domains. You will specify target-state data platforms, governance, and AI-enabled capabilities while guiding delivery teams and ensuring secure, scalable, and cost-effective solutions globally.

You will lead architecture for data design, data governance, and AI integration, embedding responsible AI, observability, and cost management

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