Director, AI Delivery

Role Overview

• Lead enterprise Al delivery initiatives from concept through production, ensuring alignment to CFA lnstitute's 2030 Strategy and enterprise Al roadmap
• Translate Al strategy into executable roadmaps, delivery plans, and measurable value realization frameworks
• Shape and mature Al delivery methodologies, integrating Agile/SAFe, DevOps, MLOps, model lifecycle governance, and cloud-native practices
• Orchestrate complex, multi-disciplinary Al workstreams to a delivery plan across Education, Membership, Finance, RAS, MCX, and shared services
• Integrate engineering, architecture, cybersecurity, data governance, legal, and risk perspectives to resolve any challenges or constraints to move the delivery
• Ensure Al solutions are scalable, secure, ethically governed, and operationally sustainable
• Influence prioritization and sequencing of Al initiatives across portfolios to maximize enterprise value
• Operationalize Al governance frameworks in partnership with Enterprise Risk, Legal, Cybersecurity, and IT Operations
• Track and manage organizational risks related to Al initiatives and collaborate with Enterprise Risk Management to ensure effective risk identification, assessment, and mitigation
• Establish governance checkpoints within the Al delivery model, including architecture reviews, legal and compliance reviews, and alignment with the enterprise Al governance framework
• Accountable for major Al initiatives and large-scale delivery programs, including scope, schedule, budget, and quality outcomes
• Manage program-level budgets and vendor engagements in alignment with enterprise financial controls
• Define and monitor KPls measuring Al adoption, delivery performance, operational efficiency, and business value realization
• Influence broader organizational strategy through thought leadership, delivery, and technical authority
• Represent the function in enterprise forums and, as appropriate, external industry engagements

Requirements

• Bachelor's degree in computer science, Engineering, Data Science, Information Systems, or related discipline required
• Advanced degree preferred
• 10+ years in digital delivery, engineering, solution, or technology strategy
• Understanding of generative Al and large language models (LLMs), including experience deploying enterprise solutions using platforms such as Azure OpenAI, OpenAI, AWS, or comparable ecosystems
• Proficiency in modern cloud environments (Azure, AWS, or GCP) and containerized/microservices architectures
• Experience in integrating Al solutions with enterprise data platforms and business systems
• Demonstrated ability to translate business requirements into secure, scalable, and measurable Al-enabled outcomes.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Google Cloud Platform
• Microservices

Benefits

• Comprehensive health coverage for you and your family
• Generous leave and time off
• Competitive retirement plans
• Flexible work options
• Wellness, education, and support programs