Executive Director, Data & AI Platforms (Hybrid)

Excelsior

United States

Hybrid

USD 120,000 - 130,000

Full time

2 days ago
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Job summary

Excelsior University seeks an Executive Director of Data Engineering and Applied AI to lead the enterprise data strategy, analytics platforms, and AI initiatives. The role collaborates with senior leadership and the Analytics & Data Science team to deliver high-performing data services and responsible AI adoption.

The position oversees data engineering, integration, warehousing, BI reporting, and advanced analytics, driving secure, scalable data systems and governance in a complex

Qualifications

  • Bachelor’s degree in CS, software engineering, information systems, data engineering, or related field. Master’s preferred.
  • 10+ years in data engineering/BI/enterprise data management with leadership experience.
  • Experience designing enterprise data systems, integrations, and analytics platforms.
  • Strong data architecture, APIs, middleware, and cloud-native solutions.

Responsibilities

  • Define and execute the university's enterprise data strategy.
  • Lead Data Engineering team for data integration, warehousing, BI, and analytics.
  • Oversee secure, scalable data-as-a-service for reporting and AI workloads.
  • Provide technical leadership in software and systems engineering, including APIs and data pipelines.

Skills

Leadership
Data engineering
BI
Enterprise architecture
Cloud-native solutions
APIs
DevOps

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field
Master's degree preferred

Tools

Ellucian Banner
Salesforce
Microsoft Fabric

Job description

Excelsior University seeks an Executive Director of Data Engineering and Applied AI to lead the enterprise data strategy, analytics platforms, and AI initiatives. The role collaborates with senior leadership and the Analytics & Data Science team to deliver high-performing data services and responsible AI adoption.

The position oversees data engineering, integration, warehousing, BI reporting, and advanced analytics, driving secure, scalable data systems and governance in a complex

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