AI Process Consultant

Lyra Technology Group•San Diego, ME

2d•Hybrid

About The Position

Lyra Technology Group is seeking an AI Process Consultant (APC) for one of its operating companies. The APC will embed directly within client businesses to identify operational inefficiencies, design new workflows, and collaborate with AI Engineers to implement solutions that transform how organizations function. This role is hands-on and client-facing, requiring the ability to interview stakeholders, map processes, build business cases, and manage client outcomes from initial contact through post-deployment adoption. The APC will be responsible for discovery, business case development, future-state workflow design, partnership with AI Engineers, change management, client relationship management, and post-deployment reviews. Internally, the APC will contribute to codifying reusable frameworks and playbooks. This is a strategy role for someone comfortable with both C-suite discussions and technical collaboration with engineers. The focus is on tangible results and client impact, not just documentation.

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.
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.
Must be legally authorized to work in the United States without sponsorship now or in the future.

Nice To Haves

Python literacy is a plus.
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.

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.