Executive Director, Data Platforms & Applied AI

Excelsior College; City of Albany (NY); Sur place; USD 120 000 - 130 000; Plein temps

Résumé du poste

Excelsior University is seeking an Executive Director of Data Engineering and Applied AI to lead the university’s enterprise data strategy, architecture, and platform delivery. This role focuses on secure, scalable data systems and AI initiatives aligned with institutional goals.

Working with ADS and senior leadership, you will guide data integration, BI, analytics, and AI model integration while upholding governance and ethical AI standards across university systems.

Qualifications

• Bachelor’s degree in a related field; Master’s preferred.
• 10+ years in data engineering/BI/enterprise data management with 5+ years in leadership.
• Experience designing enterprise data systems and integrations with modern engineering practices.

Responsabilités

• Define and execute the university’s enterprise data strategy across data architecture, platforms, and AI capabilities.
• Lead Data Engineering team for data integration, warehousing, BI, and advanced analytics.
• Oversee security, scalability, and performance of data and analytics systems.
• Provide technical leadership in API design and data pipelines for enterprise systems like Banner and Salesforce.
• Govern data governance, quality, and compliance across institutional systems.
• Stay current with trends in data, BI, AI, and integration technologies.

Connaissances

Data architecture

APIs

CI/CD

DevOps

Cloud-native solutions

Formation

Bachelor’s degree in CS/SE/IS/Data Eng

Master’s degree preferred

Outils

Microsoft Fabric

Ellucian Banner

Salesforce

Description du poste

Excelsior University is seeking an Executive Director of Data Engineering and Applied AI to lead the university’s enterprise data strategy, architecture, and platform delivery. This role focuses on secure, scalable data systems and AI initiatives aligned with institutional goals.

Working with ADS and senior leadership, you will guide data integration, BI, analytics, and AI model integration while upholding governance and ethical AI standards across university systems.