• Accountability for AI strategy, governance, and measurable business impact across Rackspace
• Define the enterprise AI strategy spanning internal productivity, customer offerings, and managed services
• Operate the AI platform layer and establish comprehensive AI governance
• Drive AI adoption, manage AI economics, lead partner co-innovation, and ensure responsible AI practices throughout the organization
• Reports to the CEO

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field required
Advanced degree (Master's or PhD) in AI, Machine Learning, Computer Science, or related field strongly preferred
MBA or equivalent business education a plus
12+ years of progressive technology and AI leadership experience with at least 5 years in senior executive roles
Proven track record building and scaling AI/ML platforms, products, or practices in enterprise environments
Experience driving AI strategy that delivers measurable business outcomes and revenue impact
History of establishing AI governance frameworks and responsible AI programs
Experience managing large-scale AI infrastructure, model operations, and GPU/compute resources

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

AI strategy
AI governance
AI platform management
AI adoption
AI economics
AI/ML platforms
model operations
GPU resources
compute resources
data analysis

Soft Skills

leadership
accountability
communication
strategic thinking
collaboration
innovation management
responsible AI practices
partner management
organizational impact
business acumen

Certifications & Qualifications

Bachelor's degree
Master's degree
PhD
MBA

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