- Location
- US GA Atlanta Suwanee 1 DC1, United States of America
- Type
- Full-time
- Seniority
- Director
- Closing date
- Today
- Source
- Workday
Description
The Director, Enterprise AI Enablement, owns 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. As a senior leader within the AI Strategy & Implementation organization, this role delivers the Enterprise Productivity pillar of the “AI at QTS” strategy: approved tools, role-based training, prompt libraries, and adoption for every employee. QTS is powered by people, and this role exists to make AI powerful for them — turning sanctioned tools like Microsoft 365 Copilot and the 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 is critical to influencing the backbone of QTS’ AI Architecture and Coordination, and embeds the QTS operating principles — be creative, trust your data, and govern from day one — into how the company adopts AI.
RESPONSIBILITIES, other duties may be assigned.
Strategy & Organizational Leadership
- 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.
BASIC QUALIFICATIONS
- 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.
We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.
The "Know Your Rights" Poster is included here:
The pay transparency policy is available here:
Pay Transparency Nondiscrimination Poster-Formatted
QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.