The most important role you haven't hired yet: The AI Facilitator

November 28, 2025
DSA

Most organizations today are stuck in what we call the “Teenage Phase” of AI adoption.

There’s energy, enthusiasm, and endless experimentation. Pilots are launched left and right. Teams build things because they can, not because they solve a validated business problem.

And just like real teenagers, this phase is full of:

  • high activity but low direction
  • excitement but little discipline
  • action without understanding the consequences

The result?

A graveyard of POCs that never scale — and executives asking the same tired question:

“Where is the ROI?”

The Missing Link in Your Org Chart

We realized that the bottleneck isn't technology—it's clarity.

Your Engineering teams can build the models. Your Product Managers can manage the backlog. But who is responsible for the messy, ambiguous space before the backlog? Who aligns the C-Suite on strategy? Who validates that an AI agent is actually what the user needs?

Enter the AI Facilitator.

This isn't a prompt engineer. This is a "Clarity Builder." It is a strategic role designed to bridge the gap between AI ambition and execution. They replace endless meetings with structured workshops, ensure "Responsible AI" isn't an afterthought, and give teams the confidence to kill bad ideas fast.

A Gift for HR & Innovation Leaders

We believe this is the job of the future. To help you get ahead of the curve, we have drafted a comprehensive Job Description Template based on our work with Fortune 500 companies.

This template is designed to help you find that rare mix of diplomat, strategist, and builder.

👇 Copy, paste, and adapt this template to hire your first AI Facilitator.

[TEMPLATE]

Job Description: AI Facilitator

Department: Innovation / Digital Transformation / People & Culture (HR)

Reports to: Head of Innovation, Chief Strategy Officer, or Chief AI Officer (CAIO)

Role Overview

We are entering a new era of operations where Artificial Intelligence is no longer just a buzzword but a strategic imperative. However, like many organizations, we are navigating the AI adoption journey—we have enthusiasm and pilots, but we need direction, discipline, and maturity.

We are seeking an AI Facilitator to serve as our internal "Clarity Builder."

You will not be expected to code the AI models yourself. Instead, your role is to help our teams make confident, evidence-based decisions about what to build or buy and why. You will bridge the gap between our leadership’s ambition and our teams' execution, ensuring we move from "solution-first" thinking to "problem-first" value creation.

The Mission

Enable teams to deliver scalable AI initiatives with clarity, alignment, and measurable progress by structuring decisions, reducing ambiguity, and accelerating the learning loop.

Key Responsibilities

  • Facilitate Strategic Alignment: Run workshops with senior stakeholders to define our high-level AI ambition and prioritize business areas for innovation.
  • Define AI Use Cases: Guide teams through AI problem framing and use-case definition, filtering ideas through business goals and customer needs lenses.
  • Break Down Silos: Assemble and orchestrate cross-functional "team pods," bringing Business, Data, Engineering, and Legal together at critical moments.
  • Guide Structured Decisions: Help expert teams navigate ambiguity using decision frameworks to assess "AI Friction" (data, tech, risk) and move from assumptions to evidence-based choices.
  • Run AI Hackathons: Move beyond the traditional "engineering-only" formula by designing and facilitating cross-functional Innovation Hackathons. You will bring together diverse teams (Business, Design, Tech) to ensure that hackathon outputs are not just clever code, but viable product concepts with a clear business case.
  • Advocate User Needs: You will shift the conversation from "what can the tech do?" to "what should it do for the user?" You will map workflows and customer journeys to pinpoint specific moments where AI solves a painful problem.
  • Lead Rapid Prototyping: Facilitate AI Design Sprints (typically 4-day workflows) to take teams from a defined problem to a user-tested AI Agent MVP that demonstrates both intended user experience and functionality.
  • Own the Outcomes: Ensure documentation and next steps are clear. You are the custodian of the process, ensuring every workshop results in a tangible asset (e.g., a Roadmap, a Use Case, or a Prototype).

Key Collaborations

You will operate as the "connective tissue" between five distinct groups:

  1. The Decision-Makers: Supporting C-Suite & Leadership to translate high-level ambition into strategic roadmaps.
  2. The Product Partners: Partnering with Product Managers to accelerate the "Discovery" phase. You facilitate the workshops that validate concepts so PMs can focus on the "Delivery" phase with confidence.
  3. The Builders: Collaborating with IT, Data Science, & Engineering (including internal teams or external vendors) to map technical constraints early and facilitate a seamless handoff from prototype to production.
  4. The Guardians: Proactively engaging Legal, Risk & Compliance early in the process to define guardrails (not roadblocks).
  5. The Domain Experts: Extracting tacit knowledge from Business Units & Subject Matter Experts to ensure the AI solves real problems based on how the work actually happens, not just how the procedure manual says it happens.

Qualifications & Skills

  • Professional Background: 5+ years of experience in Product Management, UX Design, Innovation, Service Design, or Strategy Consulting.
  • Facilitation Mastery: Proven experience designing and running cross-functional workshops (e.g., Design Thinking, Problem Framing, Strategy, Design Sprints). You know how to manage time, energy, and strong opinions in a room.
  • AI Fluency (Non-Technical): You understand the landscape of Generative AI, LLMs, and Agents. You can converse confidently with Data Scientists about "data readiness" and with Legal teams about "guardrails."
  • Digital Toolkit: You are a power user of visual collaboration platforms (e.g., Miro, Mural) and comfortable using AI tools to assist your workflow. Familiarity with no-code/low-code tools (e.g., Make, Zapier, N8N) for rapid prototyping is a significant plus.
  • Product Mindset: You are obsessed with the problem, not the solution. You understand the difference between an "output" (building a pilot) and an "outcome" (solving a user need).
  • Diplomacy & Influence: You are comfortable pushing back on senior leadership when mandates are vague and have the skills to align diverse groups around a shared truth.
  • Comfort with Ambiguity: You thrive in environments where there are no existing playbooks. You view "failed" experiments as valuable learning data, not wasted time.

How You Will Be Measured

  • Speed to Clarity: Reducing the time it takes to move an AI idea from "concept" to "validated decision" (Go/No-Go).
  • Cost Avoidance: The monetary value of engineering hours saved by killing unviable AI pilots during the prototyping phase.
  • Stakeholder Satisfaction: Qualitative feedback from cross-functional partners (Product, Tech, Business) on the quality of alignment and decision-making.

Why This Role Matters

In this role, you aren't just implementing technology; you are shaping the organization's intelligence. You are the difference between a company that just has "AI projects" and a company that creates real business value with AI.

To Apply:

Please submit your resume and a brief case study or portfolio link. We want to see how you think: share an example of a workshop you designed or a complex problem you framed. Show us the "messy middle" (Miro boards, sketches, frameworks) and the final outcome.

💡 A Final Note for Leaders

Hiring the person is step one. Empowering them is step two.

Give this role the mandate to challenge assumptions, the authority to pause projects that lack clarity, and the space to facilitate the difficult conversations that AI transformation requires.