Director, Enterprise AI Enablement

QTS Data Centers · Suwanee, GA · 2 wk ago

EngineeringFull-time

About the Role

As the Director, Enterprise AI Enablement, you will own the Enterprise AI Platform & Enablement lane of QTS’ AI operating model — making AI usable, governed, and scalable for every employee across the U.S. and Europe. This senior leader within the AI Strategy & Implementation organization delivers the Enterprise Productivity pillar of the “AI at QTS” strategy: approved tools, role-based training, prompt libraries, and adoption for every employee. The role exists to make AI powerful for QTS’ people by turning sanctioned tools like Microsoft 365 Copilot and applications built by the Business AI Delivery team into confident, everyday productivity.

The Director sets enterprise enablement strategy, leads the enablement organization, partners with the Business AI Delivery and every department across QTS to realize true business solutions and value. This leader also influences the backbone of QTS’ AI Architecture and Coordination, embedding the QTS operating principles — be creative, trust your data, and govern from day one — into how the company adopts AI.

Responsibilities

Own the strategy, roadmap, and end-to-end delivery of the Enterprise AI Platform & Enablement lane, making AI usable, governed, and scalable for every employee across the U.S. and Europe.
Translate the “AI at QTS” Enterprise Productivity pillar into a multi-year enablement plan; partner with the VP, AI Strategy & Implementation and executive leadership to set priorities and secure investment.
Build and lead the enablement organization — including the AI Enterprise Enablement Manager, specialists, and trainers — setting goals, developing talent, and scaling the team as adoption grows.
Partner with the Business AI Delivery (DELIVER) and AI Governance & Intake (GOVERN) lane leaders on a shared backbone of AI Architecture and Coordination to deliver one cohesive operating model.
Direct enterprise adoption of Microsoft 365 Copilot and other approved tools — scaling from the current 1,500+ Copilot Chat users — through role-based training, prompt libraries, playbooks, office hours, and self-service resources.
Establish and grow an enterprise AI champions / community-of-practice network to drive grassroots adoption and surface high-value use cases into central intake.
Lead organizational change management for AI initiatives across the enterprise, including executive and frontline communications, resistance management, and reinforcement.
Operationalize “govern from day one” for end users: partner with AI Governance & Intake and Enterprise Technology to advance approved-tool standards (74 tools in use → 8 approved), the enterprise AI policy, acceptable-use guidance, and human-in-the-loop practices.
Replace shadow AI with safe, sanctioned tools, and embed responsible-AI guardrails into every enablement program.
Define, track, and report enterprise adoption and value metrics — utilization, active usage, time saved, and dollar impact — and present outcomes to senior leadership.
Own the enablement budget and forecasts; manage vendor and platform relationships (e.g., Microsoft) for licensing, enablement resources, and co-funded adoption programs.
Other duties as assigned.

Requirements

Bachelor’s degree in a relevant field, or equivalent professional experience.
Ten or more years of experience in technology enablement, digital adoption, learning & development, change management, business analytics, software development, or technology program management.
Four or more years leading teams.
Demonstrated success leading enterprise-wide adoption of a major technology, platform, or transformation program across a large or distributed organization.
Hands-on familiarity with modern AI tools (Microsoft 365 Copilot and/or generative-AI assistants) and a working understanding of how large language models behave — their capabilities, limits, and appropriate use.
Demonstrated ability to set strategy; establish governance, standards, and KPIs; and influence executives and matrixed stakeholders without direct authority.
Excellent verbal and written communication skills, including executive-level presentation.

Preferred Qualifications

Experience building and scaling a platform.
Familiarity with responsible-AI / AI-governance frameworks (e.g., NIST AI RMF) and enterprise data-privacy and security considerations.
Experience leading enablement across multiple geographies, including the U.S. and Europe.
Experience in a data center, critical-facilities, or technology-operations environment.

Benefits