SVP, Chief AI Officer

100% Remote Full-time Open now

Office of AI Leadership

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

AI Strategy & Business Impact

Own the AI platform roadmap, model portfolio, and evaluation and monitoring approaches
Drive AI solution patterns for priority industries and embed AI capabilities into every product and service offering
Measure and report AI value creation, including revenue impact, margin improvement, productivity gains, quality enhancements, and risk reduction
Lead co-innovation initiatives with key technology partners and AI vendors
Coordinate AI go-to-market strategy with Product and Sales organizations

AI Governance & Responsible AI

Set comprehensive policies for responsible AI including ethical use, bias mitigation, and fairness
Establish data usage policies, privacy protections, and regulatory compliance frameworks
Define AI safety standards and incident response protocols
Create transparency and explainability requirements for AI systems
Monitor and enforce adherence to AI governance policies across the organization

CTO Collaboration & Platform Integration

Ensure AI platform standards align with overall technology architecture established by the CTO
Obtain joint approval with CTO for AI architectures that impact core platform decisions or risk posture
Participate in quarterly technology and AI strategy reviews with integrated roadmaps
Co-lead monthly architecture and model governance councils
Coordinate on platform reliability, security, and cost optimization initiatives

Key Performance Indicators

Technical Expertise

Deep expertise in AI/ML technologies, large language models, and generative AI
Strong understanding of AI platform architecture, MLOps, and model lifecycle management
Knowledge of AI safety, bias mitigation, explainability, and responsible AI practices
Familiarity with cloud infrastructure, data engineering, and modern software development practices
Understanding of AI regulatory landscape and compliance requirements

Leadership Capabilities

Strategic thinker who can translate AI capabilities into business value and competitive advantage
Exceptional communication skills with the ability to educate and influence at all organizational levels
Proven ability to drive adoption and change management across large organizations
Experience building and leading multidisciplinary AI teams, including researchers, engineers, and data scientists
Track record of partner management and ecosystem development
Strong business acumen withan understanding of go-to-market and monetization strategies

Required Qualifications

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

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