Assistant Vice President - Data and AI Platform Architecture

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals -- and to help others accomplish theirs, too. Join our team as we help shape the future.

The Enterprise Data and Analytics organization is seeking a passionate, transformational technology leader to push boundaries and help build the next generation of Data & AI Platforms that enable agentic frameworks and differentiating data-driven capabilities.

Responsibilities:

* Key thought leader, collaborator, and contributor, partnering across Enterprise and LOB teams to define Reference Architecture Patterns and drive adoption to meet business, technology, and data strategies.

* Define target state architecture for Data & AI Platforms including multi-cloud distributed storage and compute, model orchestration, and observability systems that provide scalable, resilient, and secure capabilities operating in a cost-optimized manner.

* Collaborate with Data Science, Data Engineering, and Platform Engineering to design a platform architecture that enable a seamless and predictable transition from experimentation and discovery through operating production models at scale in a regulated environment.

* Partner with new data initiatives and related programs to ensure alignment to Enterprise Data Strategy and Architecture, including review and approval of key design documents.

* Make it easy for engineers to adopt and implement appropriate and approved solution patterns solving their business partners most pressing and complex needs.

* Define and evangelize technical platform standards that contribute to highly scalable, self-healing, and secure systems.

* Provide leadership and mentorship to federated teams of architects and engineers, fostering a culture of innovation, collaboration, and continuous upskilling and learning.

* Cultivate and lead communities of practice that evangelize the benefits and promote the adoption of re-useable solution patterns, along with establishing a feedback mechanism for continuous improvement and iterations of such patterns.

* Scan and filter the market for emerging platform solutions, technologies, and new architectural concepts to incorporate into an evolving portfolio of platform capabilities.

* Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging data and AI platform solutions and can be leveraged as solution quick starts.

Required Experience:

* 5+ years of experience designing cloud-based architectures for data and AI platforms

* 10+ years of software engineering experience in a large enterprise operating (preferably in insurance or financial services)

* 5+ years of experience designing large-scale distributed systems in a public/hybrid cloud environment (preferably in AWS or Google)

* Deep understanding and experience with AI/ML engineering workflows and design patterns

* Professional Cloud certification (preferably in AWS or Google)

* 5+ years of experience working with infrastructure-as-code, Python or Go,

* Experience with DevOps, MLOps, and CI/CD

* Experience designing for Cloud Security in a distributed multi-cloud environment