Corporate Vice President, AI Enablement Manager

Role Overview

The Manager of AI Enablement leads the function responsible for accelerating the responsible adoption and delivery of artificial intelligence capabilities across New York Life Direct. The team partners with business and technology stakeholders to identify high-value opportunities, shape scalable solutions, and move AI capabilities from discovery and experimentation through production, adoption, and measurable business impact.

What You Will Do

Define and execute the strategy, roadmap, operating model, and priorities for AI Enablement across NYL Direct. Lead and develop a multidisciplinary team spanning AI solution architecture, AI engineering, technical program leadership, and advanced analytics and AI enablement.

Why It Might Be a Fit

You are an experienced technology leader who can connect business strategy, AI capabilities, software engineering, data, and organizational change. You understand that successful AI enablement requires more than experimentation or model selection: it requires strong architecture, engineering discipline, trustworthy data, responsible governance, operational readiness, adoption, and clear measures of value.

Requirements

• Significant experience in technology leadership, software engineering, AI or data solution delivery, and end-to-end implementation of enterprise technology capabilities.
• Demonstrated experience leading technical professionals, developing talent, managing performance, and building high-performing multidisciplinary teams.
• Strong understanding of artificial intelligence, with primary depth in agentic AI and supporting knowledge of generative AI, predictive AI and machine learning, advanced analytics, and the business and technology patterns through which these capabilities create value.
• Experience guiding enterprise AI solutions from ideation and architecture through engineering, integration, production deployment, monitoring, support, and continuous optimization.
• Strong understanding of modern software architecture, cloud platforms, APIs and integration, data architecture, automation, and scalable application delivery.
• Understanding of AI solution lifecycle practices including evaluation, testing, observability, model and agent monitoring, and operational management.
• Strong understanding of responsible AI, security, privacy, data governance, technology risk, and enterprise control requirements for AI-enabled solutions.
• Demonstrated ability to translate business objectives into a prioritized AI portfolio with clear value hypotheses, delivery roadmaps, outcome measures, and adoption strategies.
• Experience leading complex cross-functional programs, managing dependencies and delivery risks, and working effectively with vendors and strategic technology partners.
• Excellent leadership, communication, stakeholder management, facilitation, and influencing skills across executive, business, and technical audiences.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or equivalent practical experience.

Benefits

• Salary Range: $130,000-$190,000
• Overtime eligible: Exempt
• Discretionary bonus eligible: Yes
• Sales bonus eligible: No
• Annual discretionary bonus
• Leave programs
• Adoption assistance
• Student loan repayment programs