Artificial Intelligence

• Define and evolve the enterprise technology data strategy in alignment with IT architecture and business goals
• Partner with business unit IT leaders to ensure flexibility while maintaining enterprise consistency
• Evaluate emerging tools and set integration patterns to expand enterprise capabilities
• Report progress and strategic outcomes to executive leadership
• Establish architectural patterns, integration standards, and reusable blueprints for data platforms and pipelines
• Provide engineering standards, accelerators, and integration support to uplift decentralized development efforts
• Coach and enable technology teams through shared capabilities
• Define and maintain enterprise technology data standards and governance frameworks in alignment with enterprise policies
• Establish enterprise-wide technology standards for data pipelines, integration, security, and compliance
• Promote best practices through technical governance forums, data councils, and community events
• Manage platform lifecycles, vendor relationships, licensing, upgrades, and adoption
• Oversee production operations for enterprise data platforms, ensuring availability, scalability, and resilience
• Continuously improve data operations through automation and proactive issue management
• Partner with AI and analytics teams to ensure data platforms support scalable, ethical, and performant GenAI solutions
• Align data infrastructure with model development and ML Ops to support advanced analytics initiatives

VP, Enterprise IT Data Strategy, Platforms – AI Enablement

Head of AI Enablement – Enterprise Solutions

Head of AI Enablement – Consumer and Small Business Banking

Solution Director – Data & AI

Knowledge Management Expert – HR Transformation, HR AI Enablement