AI Process Consultant

Lyra Technology Group•Naperville, IL

1d•$120,000 - $150,000•Hybrid

About The Position

Lyra Technology Group, a private equity-backed holding company, operates industry-leading technology service businesses. Outsource Solutions Group (OSG), a Lyra Technology Group portfolio company, is seeking an AI Process Consultant (APC). The APC will embed directly inside client businesses to identify operational inefficiencies, design replacement workflows, and collaborate with AI Engineers to implement solutions that transform organizational operations. This role is hands-on and client-facing, focusing on interviewing stakeholders, mapping processes, building business cases, and ensuring client success from initial contact through post-deployment adoption. The APC will be comfortable diagramming workflows with C-suite executives and co-piloting build sessions with engineers.

Requirements

Bachelor's degree in Business, Engineering, Operations, Economics, Computer Science, or a related field
Must be legally authorized to work in the United States without sponsorship now or in the future
2+ years of professional experience in management consulting, deployment strategy, technical program management, operations, or a similar client-facing strategic role
Demonstrated track record of driving complex projects to measurable outcomes in client or stakeholder-facing environments
Strong analytical foundation — comfortable with spreadsheets, ROI modeling, basic SQL, and quantitative reasoning
Working knowledge of modern AI capabilities and what LLMs, agents, and RAG systems can and can't do and the judgment to scope realistic AI solutions vs. avoid AI theater
Ability to work independently in ambiguous, fast-moving client environments. You attack messy problems without waiting for a project plan
Exceptional communication skills. You can run a discovery interview with a warehouse foreman and an executive readout with a CEO on the same day
Problem-solver who gets energy from sitting across the desk from a real operator and figuring out where the friction actually is

Nice To Haves

Prior consulting experience at a top firm (MBB, Big 4 Strategy, Deloitte, Accenture, or boutique strategy/operations firm) or a deployment-strategy / forward-deployed role at a software company
Experience leading process re-engineering, workflow automation, or digital transformation engagements end-to-end
Familiarity with workflow automation platforms (Zapier, Make, n8n) or major SaaS systems (CRMs, ERPs, ticketing, document management) at the level of "I can spec an integration without help"
Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail
Python literacy is a plus but not required

Responsibilities

Embed directly with clients to run discovery, interviewing operators across roles, observing live workflows, and mapping current-state processes that surface high-ROI opportunities for AI and automation
Build the business case for each engagement: quantify the cost of the status quo, model expected ROI, and prioritize a sequenced roadmap of automation opportunities the client can act on
Design future-state workflows in detail: process diagrams, decision logic, exception handling, human-in-the-loop checkpoints, and integration touchpoints, all to a level of specificity engineering can build against
Partner with an AI Engineer throughout the build, translating client requirements into technical specs, validating outputs against business intent, and brokering trade-offs (quality vs. speed vs. cost vs. risk) in plain language
Lead change management on the client side: stakeholder alignment, communication plans, training rollout, and adoption tracking
Own the client relationship end-to-end: scope, expectations, status updates, escalations, and executive readouts. Serve as the single point of accountability for client outcomes
Run post-deployment business reviews to measure realized impact, surface follow-on opportunities, and build the case for portfolio expansion
Contribute internally by codifying reusable discovery frameworks, ROI models, workflow templates, and industry playbooks that scale across the practice