Enterprise Data & AI Integration Architect
Core
Define and evolve the organization's target-state data, integration, analytics, and AI architecture, bridging business strategy to executable technology choices across data platforms and generative AI.
Role type
Enterprise Data & AI Integration Architect
Builds
Enterprise data and AI architecture blueprints, multi-year roadmaps, reference architectures, and reusable solution building blocks.
Domain
Global non-profit / Enterprise Data & AI Architecture
Deliverable
production ML models | product features | dashboards & analysis | research | infrastructure
Required skills
Enterprise architecture strategy, data governance, integration patterns, generative AI architecture, cloud/hybrid platform design, solution design, cost optimization, vendor evaluation, technical leadership, TOGAF methodology
Preferred skills
Data product design, event-driven architecture, semantic layer design, human-AI interaction principles
Technologies
Cloud, hybrid, multi-cloud, data lake, data warehouse, lakehouse, APIs, streaming, MSA
Responsibilities
Own the enterprise Data and AI architecture strategy and roadmap; Design end-to-end architectures for key strategic solutions; Define scalable data platform and integration patterns; Establish reusable standards and guardrails for architecture; Translate complex architectural trade-offs into decisions for executives and engineers; Mentor aspiring architects and guide delivery teams.
Seniority
Senior, hands-on IC with strategic scope