Vice President of Artificial Intelligence

An established organization is seeking a Vice President of Artificial Intelligence to lead the execution of enterprise AI initiatives, translating prioritized business use cases into scalable, high-impact solutions. This role is designed for a pragmatic technology leader who focuses on making AI work in practice, not setting vision or chasing trends.

This position sits at the intersection of business and technology, working closely with senior leaders across the organization to ensure AI initiatives deliver measurable ROI, operational improvement, and strategic value. Success in this role requires disciplined execution, strong stakeholder partnership, and the ability to move initiatives forward incrementally—avoiding over-engineering or “AI for AI’s sake.”

• Lead the execution of AI initiatives by translating business-defined use cases into secure, scalable, and compliant solutions
• Maintain an enterprise-wide inventory of AI use cases, including scorecards that track performance, adoption, and ROI
• Partner with business unit leaders to define KPIs and success metrics for AI initiatives
• Prioritize and drive AI implementations that deliver tangible outcomes such as cost savings, revenue growth, and process optimization
• Chair and lead the AI compliance committee, ensuring adherence to regulatory, security, and ethical standards
• Collaborate closely with architecture, data, and infrastructure teams to integrate AI solutions into existing systems and platforms
• Evaluate buy vs. build decisions for AI use cases, substantiating recommendations with data and business rationale
• Guide teams through practical, incremental AI deployments, starting with pilots and scaling proven solutions
• Stay informed on AI trends while maintaining a disciplined focus on business value over hype

• A pragmatic, execution-focused technology leader with a track record of aligning technology initiatives to business outcomes
• Experience implementing AI and machine learning solutions in practical, incremental ways rather than large, over-engineered efforts
• Strong ability to translate business problems into technical requirements without unnecessary complexity
• Comfortable working closely with non-technical stakeholders and executive leadership
• Confident decision-maker who prioritizes outcomes, accountability, and delivery

• Bachelor’s degree in Computer Science, Information Technology, Business, or a related field (Master’s preferred)
• 8+ years of IT leadership experience, including at least 3 years managing AI or ML initiatives
• Proven success delivering technology projects on time, within budget, and with measurable ROI
• Strong understanding of AI/ML platforms, cloud infrastructure (AWS, Azure, Google Cloud), and data pipelines
• Excellent project management and cross-functional leadership skills
• Exceptional communication skills, with the ability to explain complex concepts in clear business terms
• Experience in the financial services industry is a plus, but not required