Head of AI Delivery

• Lead the design, development, and deployment of high-impact AI solutions across business lines
• Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments
• Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities
• Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications
• Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements
• Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.
• Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
• Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.
• Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization
• Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities
• Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery
• Drive enterprise adoption through leadership education, community engagement, “art of the possible” sessions, and use-case discovery
• Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal, compliance, and business functions
• Create a culture of innovation, experimentation, accountability, reuse, and continuous learning

Requirements

• Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation
• Proven track record delivering enterprise technology solutions with measurable business impact
• Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models
• Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services
• Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams
• Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field

Core Competencies

Demonstrates expertise in leading the design and deployment of AI solutions, with a strong focus on Responsible AI practices, enterprise-scale technology delivery, and measurable business outcomes. Proven ability to drive innovation and collaboration across multidisciplinary teams while ensuring compliance with regulatory and ethical standards.

Highest-signal resume keywords

• Executive-Level Leadership Experience
• AI/ML Lifecycle Expertise
• Responsible AI Knowledge
• Enterprise Technology Solutions Delivery
• Advanced Degree in Computer Science or Related Field

ATS Optimization Keywords

Hard Skills

• AI Solution Design
• Advanced Analytics
• Model Development
• Production Deployment
• Data Ecosystems
• Experimentation and Prototyping
• Enterprise Scaling
• Governance and Controls
• Risk Management
• Cost Optimization

Soft Skills

• Influencing Senior Executives
• Collaboration Across Teams
• Leadership Education
• Community Engagement
• Culture of Innovation

Industry Keywords

• Digital Transformation
• Financial Services
• Regulatory Compliance
• Model Risk
• Privacy and Security