Data and AI Governance Lead - Computing Services at Carnegie Mellon University
Pittsburgh, PA
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Jul 10, 2026
Pittsburgh, PA
Jul 21, 2026
What this job asks for AI summary
A university-wide role responsible for designing and operationalizing data and AI governance frameworks at Carnegie Mellon, without managing a direct team. The work spans policy development, AI risk controls, metadata and data quality initiatives, and building a community of practice among distributed data stewards — progressing through influence rather than authority. Suits someone equally comfortable advising senior leadership and supporting departmental staff on hands-on implementation.
Senior level · 5+ years · Pittsburgh, PA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $84,376 (middle half $61,841–$106,655).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This role is difficult to classify under a single SOC code. Its primary day-to-day work spans data governance policy, AI risk frameworks, metadata/cataloging tooling, and cross-functional stakeholder management — none of which maps cleanly to a single BLS occupation. 15-2031 (Operations Research Analysts) is used as the closest fit for a policy/framework/analytics governance role; 15-1299 (Computer Occupations, All Other) is the runner-up given the heavy technical governance and AI lifecycle management focus.
No degree requirement is stated; the JD evaluates credentials alongside experience and does not hard-gate on a specific degree.
No compensation figures are provided in the posting.
The role is explicitly described as an individual-contributor position with no direct reports, ruling out 11-3021 (Computer and Information Systems Managers) despite the seniority and strategic scope.
AI ethics/policy, metadata management, data cataloging, and MLOps/AI risk frameworks are listed together under 'Technical Depth' in the Required Qualifications section and are treated as hard gates.
GDPR, FERPA, and HIPAA knowledge, along with CDMP and AIGP certifications, appear only under Preferred Qualifications.
The posting does not mention specific tooling products (e.g., Collibra, Alation, Informatica) by name, so no vendor-specific metadata or cataloging tools could be extracted as named skills.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance, data management, metadata management.
Read the full posting
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