Job Description:
• 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
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:
• Equal employment opportunity
• Accommodation for disabilities or special needs
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