SVP, Chief AI Officer

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. Reporting to the CEO, the CAIO drives AI adoption, manages AI economics, leads partner co-innovation, and ensures responsible AI practices throughout the organization.Office of AI LeadershipDefine and execute enterprise AI strategy across internal productivity tools, customer offerings, and managed servicesOperate the AI platform layer, including model management, tooling, data pipelines, guardrails, and evaluation frameworksDrive organization-wide AI adoption through fluency programs, training, playbooks, and industry-specific solution acceleratorsEstablish comprehensive AI governance covering risk management, compliance, security, safety, and model lifecycle managementOwn AI cost modeling and unit economics in partnership with Finance and Operations teamsManage GPU and CPU capacity strategy to optimize performance and costAI Strategy & Business ImpactOwn the AI platform roadmap, model portfolio, and evaluation and monitoring approachesDrive AI solution patterns for priority industries and embed AI capabilities into every product and service offeringMeasure and report AI value creation, including revenue impact, margin improvement, productivity gains, quality enhancements, and risk reductionLead co-innovation initiatives with key technology partners and AI vendorsCoordinate AI go-to-market strategy with Product and Sales organizationsAI Governance & Responsible AISet comprehensive policies for responsible AI including ethical use, bias mitigation, and fairnessEstablish data usage policies, privacy protections, and regulatory compliance frameworksDefine AI safety standards and incident response protocolsCreate transparency and explainability requirements for AI systemsMonitor and enforce adherence to AI governance policies across the organizationCTO Collaboration & Platform IntegrationEnsure AI platform standards align with overall technology architecture established by the CTOObtain joint approval with CTO for AI architectures that impact core platform decisions or risk postureParticipate in quarterly technology and AI strategy reviews with integrated roadmapsCo-lead monthly architecture and model governance councilsCoordinate on platform reliability, security, and cost optimization initiativesKey Performance IndicatorsAI-attributed revenue and pipeline contributionAI-driven productivity improvements and cost savingsAI adoption metrics across internal teams and customer baseModel quality, performance, and safety scoresAI platform reliability and uptimeCost per AI inference or transactionCompliance with AI governance policies and regulationsPartner ecosystem engagement and co-innovation outcomesCustomer satisfaction with AI-powered solutionsTechnical ExpertiseDeep expertise in AI/ML technologies, large language models, and generative AIStrong understanding of AI platform architecture, MLOps, and model lifecycle managementKnowledge of AI safety, bias mitigation, explainability, and responsible AI practicesFamiliarity with cloud infrastructure, data engineering, and modern software development practicesUnderstanding of AI regulatory landscape and compliance requirementsLeadership CapabilitiesStrategic thinker who can translate AI capabilities into business value and competitive advantageExceptional communication skills with the ability to educate and influence at all organizational levelsProven ability to drive adoption and change management across large organizationsExperience building and leading multidisciplinary AI teams, including researchers, engineers, and data scientistsTrack record of partner management and ecosystem developmentStrong business acumen withan understanding of go-to-market and monetization strategiesRequired QualificationsBachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field requiredAdvanced degree (Master's or PhD) in AI, Machine Learning, Computer Science, or related field strongly preferredMBA or equivalent business education a plus12+ years of progressive technology and AI leadership experience with at least 5 years in senior executive rolesProven track record building and scaling AI/ML platforms, products, or practices in enterprise environmentsExperience driving AI strategy that delivers measurable business outcomes and revenue impactHistory of establishing AI governance frameworks and responsible AI programsExperience managing large-scale AI infrastructure, model operations, and GPU/compute resources"Remote postings are limited to candidates residing within the country specified in the posting location"About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.