Assistant Vice President for Data and AI

Carnegie Mellon University•Pittsburgh, PA

7d•Onsite

About The Position

The Assistant Vice President for Data and AI (AVP DAI) will spearhead university-wide efforts to organize and scale the administrative use of AI, data, and analytics, providing strategic and operational direction. This role is vital to enabling CMU's staff, faculty, researchers, and students to benefit from AI and data capabilities that are safe, effective, and operationally sound. This is primarily an administrative transformation and operational excellence role, aiming to help CMU use AI, data, analytics, and automation to streamline business processes, improve service delivery, reduce manual effort, strengthen decision support, increase data quality, and improve the effectiveness of core university operations. The AVP DAI will build a high-performing team with capabilities in AI operations, data governance, analytics, business process improvement, product management, change management, and stakeholder engagement, moving CMU from experimentation to repeatable institutional capability. The role will focus on building durable services, governed platforms, improved workflows, measurable productivity, and better institutional outcomes. The AVP DAI will establish a clear operating model for AI and data that enables responsible innovation, reduces administrative burden and risk, and provides durable governance, platforms, and expertise. This role is not intended to replace academic leadership in AI, faculty research expertise, or college-based innovation, but rather to create the administrative and technology foundation that enables responsible adoption at scale.

Requirements

Valuable work experience
Knowledge gained through education and training
Unique skills and perspective

Nice To Haves

Capabilities in AI operations
Data governance
Analytics
Business process improvement
Product management
Change management
Stakeholder engagement

Responsibilities

Spearhead university-wide efforts to organize and scale the administrative use of AI, data, and analytics.
Provide strategic and operational direction to shape and execute AI and data initiatives.
Foster collaboration across administrative, academic support, and research support domains.
Help CMU use AI, data, analytics, and automation to streamline business processes.
Improve service delivery, reduce manual effort, strengthen decision support, and increase data quality.
Improve the effectiveness of core university operations.
Build a high-performing team with capabilities in AI operations, data governance, analytics, business process improvement, product management, change management, and stakeholder engagement.
Move CMU from experimentation to repeatable institutional capability.
Build durable services, governed platforms, improved workflows, measurable productivity, and better institutional outcomes.
Establish a clear operating model for AI and data that enables responsible innovation and productive use.
Reduce administrative burden and compliance, security, and reputational risk.
Provide durable governance, platforms, and expertise that scale with demand and deliver measurable value.
Create the administrative and technology foundation that enables responsible adoption at scale.