SVP, Chief AI Officer - Remote

Overview

The SVP, Chief AI Officer is accountable for AI strategy, governance, and measurable business impact across Rackspace. This executive leader defines the enterprise AI strategy spanning internal productivity, customer offerings, and managed services while operating the AI platform layer and establishing comprehensive AI governance.

In Short

• Define and execute enterprise AI strategy across internal productivity tools, customer offerings, and managed services
• Operate the AI platform layer, including model management, tooling, data pipelines, guardrails, and evaluation frameworks
• Drive organization-wide AI adoption through fluency programs, training, playbooks, and industry-specific solution accelerators
• Establish comprehensive AI governance covering risk management, compliance, security, safety, and model lifecycle management
• Own AI cost modeling and unit economics in partnership with Finance and Operations teams
• Manage GPU and CPU capacity strategy to optimize performance and cost
• Lead co-innovation initiatives with key technology partners and AI vendors
• Coordinate AI go-to-market strategy with Product and Sales organizations
• Monitor and enforce adherence to AI governance policies across the organization
• Ensure AI platform standards align with overall technology architecture established by the CTO

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

Benefits

• Competitive salary and performance bonuses
• Health, dental, and vision insurance
• Retirement plan with company matching
• Flexible work hours and remote work options
• Professional development opportunities
• Dynamic and inclusive work environment