Director, AI Delivery – Global

This is a fully remote position, open to applicants in Colorado.

📋 Description

• Assemble and guide a high-performing AI Delivery team.

• Transform approved business requirements into validated, production-ready AI solutions within set timelines.

• Take ownership of the delivery intake acceptance at the Business Requirements Review Gate.

• Verify scope, sizing, feasibility, and readiness prior to the commencement of delivery work.

• Return requirements for revision when they are not ready for delivery.

• Deliver solutions in accordance with the enterprise AI governance framework.

• Integrate ethics, security, and compliance requirements from the initial conception phase.

• Coordinate handoffs from delivery to the Platform and Adoption pillars.

• Provide transition packages that ensure operational readiness and rollout without the need for rework.

• Establish and uphold quality standards for AI solution development.

• Ensure thorough technical validation through dedicated quality control engineering reviews.

• Design and enhance delivery methodologies that balance speed with sustainability.

• Create collaborative frameworks between AI Delivery and AI Navigators.

• Develop transition protocols that include technical specifications, solution design documentation, architectural decisions, and success criteria.

• Maintain gate readiness, documented handoffs, and current status in the system of record.

• Create metrics and reporting that address business value, adoption rates, velocity improvements, and quality indicators.

• Develop talent development programs and career paths within AI delivery teams.

• Undertake additional responsibilities as assigned by Leadership.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline.

• Extensive experience leading AI/ML delivery teams in enterprise settings.

• Proven success in establishing delivery methodologies that balance innovation velocity with technical quality.

• In-depth technical knowledge of AI/ML technologies, Microsoft Azure, application architecture, and enterprise integration patterns.

• Practical experience in designing and delivering secure, scalable applications in collaboration with platform and infrastructure teams.

• Experience in building and leading geographically distributed technical teams across various time zones and cultural contexts.

• Strong understanding of AI governance frameworks, responsible AI principles, and regulatory compliance requirements.

• Ability to convey technical concepts to business audiences and translate business requirements into technical specifications.

• Experience collaborating with IT, Security, Legal, Compliance, and business functions.

• Experience in data center operations, infrastructure projects, or construction management is highly desirable.

• Comfortable working in high-velocity environments with competing priorities and evolving requirements.

• Travel may be required up to 10%, with the potential for increase over time.

• Ability to occasionally perform physical tasks including standing, walking, sitting, handling objects, reaching, climbing stairs, balancing, stooping, or kneeling.

• Ability to occasionally lift or move items weighing up to 25 pounds.

🏝️ Benefits

• Medical, dental, and vision coverage.

• Life and AD&D coverage.

• Short- and long-term disability coverage.

• Paid time off.

• Employee assistance program.

• 401(k) program with company match.

• Additional voluntary benefits.

• Above-market total compensation package.

• Health and welfare benefits.

• Retirement benefits.

• Paid leave benefits.

• Recognition, training, and development opportunities.