Assistant Vice President for Data and Artificial Intelligence (AI)- Computing Services

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Carnegie Mellon University (CMU), a global leader in research and innovation, invites candidates to apply for the newly created role of Assistant Vice President for Data and AI (AVP DAI). This role, which will serve as a senior operational leader within the Office of the Vice President for Information Technology and Chief Information Officer (OCIO), offers a unique opportunity to lead the administrative adoption of artificial intelligence and enterprise data capabilities across the university. Through this investment, CMU is committing to translate the university's extraordinary AI expertise into practical operational value - improving service delivery, strengthening decision support, reducing manual effort, and building durable institutional capability for responsible AI and data in the daily work of a complex research university. Data and AI at Carnegie Mellon Carnegie Mellon has extraordinary AI expertise across its academic and research enterprise. The challenge before the university is to apply that same spirit of innovation to the way CMU operates - converting AI promise into practical operational value. Computing Services is organizing and scaling the administrative use of AI, data, and analytics across the institution, building the operating models, governance processes, service offerings, implementation roadmaps, training, adoption strategies, and value-measurement practices that allow CMU to deploy these capabilities responsibly and effectively. This work is already underway. CMU's current portfolio includes enterprise AI tools for faculty and staff, an AI Gateway for secure access to large language models, locally hosted models for sensitive workloads, expansion of chatbot capabilities across administrative services, early work in Snowflake Cortex for AI-enabled data inquiry, and a growing set of automation and analytics initiatives. The Assistant Vice President will be responsible for connecting these efforts into a coherent, measurable, and sustainable operating capability. CMU's strengths relevant to this role include: Deep bench strength across the School of Computer Science, Heinz College, the Tepper School of Business, the College of Engineering, and the Dietrich College in AI, data science, machine learning, public policy, and human-centered design The Block Center for Technology and Society, which examines the implications of emerging technologies on work, policy, and organizations The Software Engineering Institute (SEI), a federally funded research and development center with leading expertise in AI engineering, cybersecurity, and responsible system design A mature Computing Services organization providing enterprise platforms, identity, security, analytics, and service delivery at scale The Data@CMU program and the Data Stewardship Council, which provide the foundation for institutional data governance and stewardship Given the increasing role of AI, data, and automation in every dimension of university operations, CMU aims to implement a comprehensive and forward-looking plan for responsible adoption across administrative, academic support, and research support domains. Such a plan will reduce duplication, accelerate shared solutions, strengthen trust and compliance, and ensure that CMU's internal operations reflect the same standards of excellence the university champions in its scholarship. Assistant Vice President for Data and AI: Vision and Aspirations The AVP for Data and AI will spearhead university-wide efforts to organize and scale the administrative use of AI, data and analytics - providing strategic and operational direction to shape and execute this effort. Reporting to the Vice President for Information Technology and CIO , the AVP DAI will foster collaboration across administrative, academic support, and research support domains. The 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: the Assistant Vice President will 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 planning that led to the creation of this role envisions the AVP DAI building a high-performing team with capabilities in AI operations, data governance, analytics, business process improvement, product management, change management, and stakeholder engagement. The ambition is to move CMU from experimentation to repeatable institutional capability. This role will focus on building durable services, governed platforms, improved workflows, measurable productivity, and better institutional outcomes. University sponsors of this initiative intend for the AVP DAI to establish a clear operating model for AI and data t

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