AI Business Solutions Lead at Formerra
Romeoville, IL
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Jul 22, 2026
Romeoville, IL
Jul 23, 2026
What this job asks for AI summary
A cross-functional role focused on identifying where AI tools can improve business processes, then seeing those improvements through from vendor evaluation and business-case development to deployment, training, and impact measurement. The position spans strategy, hands-on configuration of AI platforms and workflow automations, governance, and change management across departments such as HR, Finance, Sales, and Operations. It suits someone with a background in process improvement or digital transformation who is comfortable both advising senior leaders and building practical AI solutions.
Mid level · 3+ years · Bachelor's required
“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 (9)
No work location is specified in the posting; CBSA and state fields are left blank. The role may be on-site or hybrid but is not stated as fully remote.
The SOC classification is genuinely difficult here. The role is a business-facing AI enablement lead — primarily evaluating, implementing, and governing AI tools and driving adoption — which sits between 15-1211 (Computer Systems Analysts, for business/systems analysis and solution design) and 15-1299 (Computer Occupations, All Other, for emerging AI-specific roles not well captured elsewhere). 15-1299 is used as primary given the AI-enablement focus; 15-1211 is the close runner-up.
The required experience range is stated as '3-5+ years'; total experience minimum is set to 3 (the lower bound).
The posting names no specific named AI platforms, vendors, or enterprise tools — only categories (generative AI, workflow automation, analytics, enterprise productivity platforms). Skills are captured at the category level as that is the most concrete technology language the JD provides.
Prompt engineering, AI governance, integration concepts, and vendor evaluation are explicitly listed under 'Preferred' qualifications.
Lean/Six Sigma are listed under Core Competencies with no required/preferred distinction; treated as preferred given the tiebreaker rule and the absence of firm gating language.
AI or cloud certifications are listed under 'Preferred' with no specific certification named.
No compensation is stated in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): workflow automation, AI governance.
Read the full posting
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