AI Tooling Strategy & Lifecycle Management Director
Vizient · Chicago, IL
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Jun 30, 2026
Chicago, IL
Jul 21, 2026
What this job asks for AI summary
This role centers on managing an enterprise-wide AI tooling strategy, covering the full lifecycle of AI tools from evaluation and onboarding through retirement. Day-to-day work involves maintaining a tooling inventory, setting standards for intake and governance, coordinating across architecture, security, procurement, legal, and engineering teams, and tracking spend and license utilization. It suits someone experienced in enterprise technology strategy and cross-functional stakeholder management.
Senior level · National · Full-time
“or” means any one of them counts — you don't need all of them.
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
What the occupation pays Median $119,144 (middle half $81,115–$160,963).
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 (6)
The job title is not stated in the posting; the internal career framework label is 'Professional - Lead Associate (P4)', which maps to a senior individual-contributor level — advertised seniority is treated as Unspecified since no conventional seniority word appears in the title.
No explicit years-of-experience requirement is stated anywhere in the posting.
Compensation figures are referenced ('Estimated Hiring Range' and incentive eligibility) but no actual numbers are provided, so comp fields are left null.
This role is a strategic/program-management function focused on AI tooling governance and lifecycle — it sits at the boundary of 15-1299 (Computer Occupations, All Other) and 15-1211 (Computer Systems Analysts). Neither is a perfect fit; 15-1299 is chosen as the primary because the role is more about enterprise AI tool strategy and lifecycle ownership than traditional systems analysis.
The posting names no concrete named technologies as hard requirements — all skills listed are derived from the explicit responsibilities described. The skills list reflects the functional domains the JD gates on rather than specific named tools, as the JD itself does not name any.
Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML tooling strategy, vendor management, enterprise governance, tool lifecycle management.
Read the full posting
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