Manager, AI Adoption, Global

Vantage Data Centers•Remote - CO, CO

2d•$165,000 - $175,000•Remote

About The Position

The Artificial Intelligence Team exists to amplify human potential through intelligent technology. We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market. Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence. Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution. This position will be based remotely in the United States. The Manager, AI Adoption, Global leads Vantage’s enterprise behavioral-change engine, the team most directly responsible for turning AI capability into capability-in-use across the organization. The best AI capability in the world delivers nothing if people do not use it. Reporting to the Head of Artificial Intelligence, this role owns the Adoption pillar of the AI organization and leads a team of three accountable for building enterprise-wide AI fluency and demand through education, a Champions network, and programmatic rollout. Adoption is defined by its modality: one-to-many, programmatic, and repeatable. It scales by systematizing, building rails that work for hundreds and then thousands of users, rather than by embedding individuals into single functions. This distinguishes Adoption from the Navigators team, which scales one-to-few; together they cover the full demand surface of broad fluency and deep delivery. Sustainable adoption is never mandated; it is chosen, because people see value, and this leader’s job is to make that value visible, accessible, and habitual at enterprise scale. The flagship of this work is enterprise Copilot and internally developed tooling enablement, the one-to-many program that converts thousands of Microsoft 365 licenses into sustained daily habit. As the AI landscape evolves and agents begin to act on people’s behalf, the role’s mandate will gradually extend from teaching tool fluency toward helping people delegate, supervise, and trust AI, and the successful candidate should be energized by leading that shift.

Requirements

Minimum 7-10 years of overall work experience, with 4+ years in change management, learning and development, employee enablement, or technology adoption within a large or global enterprise.
Demonstrated people-leadership experience, including direct management, coaching, and development of a team responsible for program delivery.
Proven track record designing and running enterprise-scale enablement, training, or adoption programs that moved measurable usage, fluency, or behavior across thousands of users.
Direct experience driving adoption of Microsoft 365 and Microsoft Copilot, or comparable enterprise SaaS platforms, from license provisioning through to sustained daily habit.
Strong command of one-to-many, programmatic operating models, including cohort-based rollouts, certification rails, Champions or ambassador networks, and LMS-delivered curricula.
Practical fluency in generative AI capabilities, limitations, and responsible-use principles, sufficient to build literacy and governance understanding across a broad, non-technical population.
Experience defining and tracking adoption metrics, activation, certification, and sustained usage, and using those signals to prioritize effort and route opportunities to partner teams.
Exceptional communication and influencing skills, with the ability to build trust and create pull across every function and region without relying on mandate.
Familiarity with enablement tooling such as ServiceNow, learning management systems, and in-flow guidance platforms, and comfort defining requirements for AI-powered self-service capabilities.
Comfort with ambiguity and a forward-looking mindset, with readiness to extend the adoption mandate from teaching tool fluency toward helping people delegate to, supervise, and trust AI agents.

Responsibilities

Lead, coach, and develop the AI Adoption team, setting strategy, priorities, and success metrics for the enterprise adoption engine.
Own the enterprise AI education program, including AI Foundations, Responsible AI Governance training, and role-based curricula delivered through the LMS, building the baseline fluency that makes everything else possible.
Run certification rails that make governance understood and chosen across the enterprise rather than merely imposed, ensuring thousands of people understand responsible-use policy well enough for it to stick.
Execute structured enterprise rollouts using a cohort-based, 30-day activation-sprint model, from the Champions Collective through successive departmental waves, with certification managed via ServiceNow.
Own the flagship enterprise Copilot enablement program, converting Microsoft 365 licenses into sustained daily habit as the rollout half of the Platforms-owned Copilot seam, AI Platforms makes Copilot exist and stay governed; Adoption makes thousands of people actually use it.
Build and run the distributed Champions Collective, bringing peer-level support and advocacy into every function and cohort to multiply reach far beyond the central team’s headcount.
Curate always-available, scaled self-service enablement, guides, prompts, playbooks, on-demand learning, and in-flow support, so the broad user base can get unstuck without waiting on a human; where an AI-powered assistant is the right mechanism, define the requirements and consume it as a Platforms-built capability rather than building software.
Track activation, certification, and sustained-usage metrics, and route the signals surfaced, a function showing deep appetite or a recurring unmet need, to the Navigators team for embedded engagement.
Partner with the Accelerators team to drive rollout, training, and sustained usage of every enterprise-grade solution they ship, ensuring engineered capability translates into realized value rather than a shelved deployment.
Set and manage the operating rhythm of the Adoption team, including planning, prioritization, and reporting of adoption outcomes to senior leadership.
Design and continuously improve cohort-based activation sprints, refining the playbook as the enterprise rollout scales across functions and regions.
Recruit, enable, and recognize Champions, sustaining an engaged peer network that advocates for AI adoption within their own teams.
Define and maintain the adoption metrics framework, and use activation, certification, and sustained-usage data to prioritize effort and inform department-wide resource allocation.
Collaborate with the Platforms team to align enablement with platform capabilities, governance, and the catalog surface, and to specify requirements for AI-powered self-service assistants.
Translate responsible AI principles and governance policy into accessible, role-relevant learning that a broad, non-technical population can understand and apply.
Maintain awareness of evolving AI capabilities, particularly the shift toward agentic systems, and begin building delegation, supervision, and oversight enablement ahead of broad need.
Communicate the value of AI adoption across the enterprise, building pull and trust without relying on mandate.
Handle additional duties as assigned by Management.