Lead Data Architect – AI-Ready Enterprise Platform

University of Chicago; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

University of Chicago seeks a Lead Data Architect to define and govern the architecture for the University's administrative data, from current warehouses to a modern analytics platform. The role owns the target architecture, standards, and the roadmap, partnering with infrastructure, security, and enterprise teams.

Responsibilities include leading data models, integration, and data products, guiding platform modernization, and ensuring AI readiness with governance and semantic layers.

Qualifications

• 7+ years of work experience in data architecture or a related field.
• Experience leading data architecture, setting standards, patterns, and roadmaps.

Responsibilities

• Defines current-state and target-state data architecture and multi-year roadmap.
• Sets architecture standards and reference patterns for data modeling, integration, pipelines, and data products.
• Leads platform modernization options, builds business cases including cost, risk, and sequencing.
• Leads proofs of concept to test platform and architecture options.
• Designs for AI readiness with governance, semantic layer, and data contracts.

Skills

Data architecture

Leadership

BI & analytics

Stakeholder communication

Data governance

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Job description

University of Chicago seeks a Lead Data Architect to define and govern the architecture for the University's administrative data, from current warehouses to a modern analytics platform. The role owns the target architecture, standards, and the roadmap, partnering with infrastructure, security, and enterprise teams.

Responsibilities include leading data models, integration, and data products, guiding platform modernization, and ensuring AI readiness with governance and semantic layers.