About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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TL;DR · Assistant Vice President for Data and Artificial Intelligence (AI)- Computing Services

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The Assistant Vice President for Data and AI at Carnegie Mellon University will lead the administrative adoption of artificial intelligence and data capabilities across the institution, improving service delivery and decision support while reducing manual effort. This senior operational leader will develop an enterprise roadmap to translate institutional priorities into actionable initiatives with clear success measures, aligning AI efforts with broader computing services goals. Key responsibilities include fostering collaboration between academic and administrative domains, advancing data governance practices, and overseeing the operationalization of enterprise AI services for faculty and staff use. The role requires expertise in AI operations, data governance, analytics, business process improvement, and stakeholder engagement, leveraging technologies such as Snowflake Cortex, chatbots, and large language models to build durable institutional capability for responsible AI adoption at scale.

Skills

Python Java Snowflake Kubernetes Terraform CI/CD Docker Prometheus Grafana AWS Azure Google Cloud Platform PostgreSQL MongoDB GitLab Jira Confluence Snowflake Cortex Chatbots Workflow Automation RPA Intelligent Document Processing Metadata Management Data Lineage Data Governance AI Ethics Responsible AI

What you'll do

Develop and lead an enterprise roadmap for using AI and data to improve university operations.
Identify high-value administrative use cases across various departments for AI implementation.
Translate institutional priorities into actionable initiatives with clear timelines and success measures.
Lead process transformation initiatives to reduce manual work and improve service delivery accuracy.
Strengthen data governance practices to ensure reliable, well-governed data for AI initiatives.
Oversee operationalization of enterprise AI services for faculty and staff use in administrative contexts.

What we're looking for

Extensive experience in leading data and AI initiatives at an institutional level.
Proven track record in developing and implementing enterprise-wide data governance strategies.
Strong background in operationalizing AI services and platforms securely and efficiently.
Demonstrated ability to collaborate across multiple departments for process transformation.
Expertise in advancing data maturity, quality, and decision support capabilities.
Experience in fostering responsible innovation with AI while managing compliance risks.
Leadership in building high-performing teams focused on AI operations and analytics.