QTS

QTS

Director, Enterprise AI Enablement

Suwanee, GA · Director

Sponsorship not specifiedDetected 5 days ago
LLMsLeadershipCommunication

About the role

  • 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.
  • 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.

Requirements

  • Bachelor's degree in a relevant field, or equivalent professional experience.
  • Demonstrated ability to set strategy

Nice to have

  • 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.
  • The "Know Your Rights" Poster is included here:
  • Know Your Rights (English)
  • Know Your Rights (Spanish)

Skills

  • Replace shadow AI with safe, sanctioned tools, and embed responsible-AI guardrails into every enablement program.
  • Other duties as assigned.

Equal opportunity

  • 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 talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

This listing is sourced directly from QTS's careers page and normalized into a canonical job model.