AI Agentic Evangelist

Insight•Phoenix, AZ

16h•Remote

About The Position

The Agentic Workplace Consultant is a pivotal role within Insight’s Google Solution Line (GSL), bridging the gap between management consulting and technical execution. Leveraging our Google Solution Line’s business value expertise and the technical depth of Insight’s Agentic Factory, this consultant will work directly with Line of Business (LOB) stakeholders to move organizations from "AI-Curious" to "AI-Native". Your mission is to drive Agentic Velocity by identifying high-value business friction points and architecting autonomous, multi-step workflows using Google Workspace and Gemini Enterprise. You will be responsible for defining the ROI of digital labor and ensuring that AI agents are not just "science projects" but production-grade assets that solve real-world problems.

Requirements

5+ years in management consulting or strategic sales, ideally with a focus on SaaS or AI transformation.
Deep understanding of Google Workspace, Gemini Enterprise, and the Agent Developer Kit (ADK).
Mastery of TCO/ROI modeling and the ability to articulate technical benefits to C-Level stakeholders.
Proven experience in Organizational Change Management (OCM) and delivering structured evaluation processes like MEP.
Exceptional discovery skills with the ability to "uncover the why" behind business processes.

Responsibilities

Engage with LOB leaders in HR, Finance, Sales, and Engineering to map existing manual workflows to autonomous Gemini Agent capabilities.
Conduct "Agentic Audits" to identify "micro-frictions" that can be solved with no-code tools or the Gemini Agent Developer Kit (ADK).
Develop custom user personas to understand stakeholder roles and assess the specific benefits of the Agentic Workplace platform for their daily operations.
Lead the development of board-ready Business Cases, including 3-year TCO comparisons between legacy seat-based costs and agentic productivity gains.
Establish and report on ROI Value Metrics, such as labor hours saved and accelerated engineering output.
Identify and define KPIs that connect AI usage directly to quantifiable business outcomes.
Quarterback the MEP process, a data-driven approach designed to tailor workshops to a customer's current state.
Lead "Day-in-the-Life" sessions showcasing Gemini Enterprise features integrated into real-world business scenarios.
Collaborate with technical teams to ensure data readiness and security hardening for AI adoption.
Act as a trusted advisor to C-Suite executives, maintaining relationships and overcoming account blockers to grow deals and drive adoption.
Support the "No-Code Academy" by training non-technical "Citizen Developers" to build custom agents via Gemini Agent Designer.
Establish long-term governance models, including agent identity and access management (AIAM) protocols.