Head of Integrated Solutions Engineering

Job Description

Corporate Vice President – Senior Director – Head of Integrated Solutions Engineering | New York Life Insurance Company

The Tone:
This is a full-time role at New York Life Insurance Company, located in New York, NY, with a hybrid work model. Within its Technology, Data, AI, and Ventures (TDAV) organization, New York Life builds solutions that power how it serves policy owners, agents, advisors, and employees, delivering measurable business outcomes. This role leads the engineering strategy, delivery, and evolution of critical shared technology platforms, accelerating competitive advantage and shaping how a world-class financial services company competes in the AI era. This leader is pivotal in modernizing legacy systems and driving innovation across core business capabilities.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid, New York, NY
• Pay: $185000–$264500 yearly
• Team: Business Unit Technology, Data, AI and Ventures (TDAV) organization, leading a large, multidisciplinary engineering organization.
• Mission: Lead the engineering strategy, delivery, and evolution of shared technology platforms supporting New York Life’s Insurance, Annuities, and Wealth businesses to ensure they are resilient, scalable, secure, and innovative.
• Tech Stack: AWS, Azure, Google Cloud, Kubernetes, Kafka, Event Hubs, REST APIs, GraphQL, modern data platforms

What You’ll Actually Do
• Strategize: Set the engineering and platform strategy for Integrated Solutions, defining multi-year technology roadmaps, engineering standards, reference architectures, and modernization priorities across shared capabilities.
• Lead: Lead and develop a high-performing engineering organization, establishing clear accountability, strengthening technical leadership, and fostering a culture of engineering excellence, innovation, quality, and continuous learning.
• Modernize: Modernize and evolve enterprise platforms through cloud-native architectures, microservices, APIs, event-driven integration, containerization, automation, and AI-assisted engineering practices, while maintaining stability of mission-critical capabilities.
• Guide: Drive architectural and engineering decisions across complex initiatives, partnering with architecture and business leaders to resolve dependencies, manage risk, and ensure solutions support broader business objectives.
• Optimize: Own engineering health and operational excellence across Integrated Solutions platforms by establishing measurable outcomes for reliability, resiliency, security, scalability, observability, deployment frequency, and technical debt reduction.

The Must-Haves
• Background: Executive. Bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, systems analysis, business, or a related field, or equivalent experience, with core domain knowledge in designing and building enterprise-scale distributed systems.
• Experience: 15+ years of progressive software engineering experience, including demonstrated progression through software engineering, technical leadership, architecture, and engineering leadership roles. 10+ years of experience leading large engineering organizations responsible for building and operating mission-critical enterprise platforms.
• Skills: Deep technical expertise in modern application and platform architecture (cloud-native, microservices, APIs, event-driven, distributed systems, enterprise integration, container platforms, modern data integration). Demonstrated experience modernizing complex legacy technology environments while maintaining operational stability. Experience establishing and advancing modern engineering practices including CI/CD, DevSecOps, Infrastructure as Code, automated testing, observability, Site Reliability Engineering, and AI-assisted software development.
• Bonus: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with Kubernetes, container platforms, API gateways, event-streaming technologies such as Kafka or Event Hubs, REST APIs, GraphQL, and modern data platforms. Experience applying Domain-Driven Design, event-driven architecture, and enterprise integration patterns. Experience applying AI/ML, Generative AI, or intelligent automation. Experience leading technology platforms or engineering organizations supporting insurance, annuities, wealth management, financial services, or similarly complex business domains.