VP, Financial Modeling Technology & AI Transformation

New York Life

New York (NY)

Hybrid

USD 185,000 - 265,000

Full time

6 days ago

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Job summary

New York Life seeks a Corporate Vice President of Financial Modeling Technology to own and evolve the technology ecosystem for capital planning, NII modeling, driver-based modeling, and scenario analysis. You will lead cross-functional teams, drive architecture modernization, and ensure scalable, auditable financial modeling within the EPP transformation.

You will shape strategy across applications, data, AI, and analytics, partnering with Finance, Technology, and Business stakeholders to

Qualifications

15+ years of progressively responsible experience in technology, software engineering, solution delivery, digital transformation, or related disciplines, including significant leadership responsibility in complex enterprise environments.
Proven experience owning end-to-end technology capabilities or major transformation domains from strategy through architecture, engineering, implementation, and measurable outcomes.
Demonstrated success operating in federated or matrixed enterprises and influencing senior business and technology stakeholders across organizational boundaries.
Broad technology and engineering background spanning modern application development, APIs and integration, data and analytics, cloud platforms, enterprise architecture, automation, and emerging technologies.
Strong understanding of generative AI, agentic technologies, and AI-assisted engineering and their practical application to enterprise workflows and software delivery.
Experience leading multidisciplinary technology teams and managing strategic partners, contractors, and federated resources.
Experience operating within enterprise Risk, Security, Compliance, Audit, and control environments.
Strong analytical, communication, prioritization, and executive-influence capabilities.

Responsibilities

Owns the future-state technology capability across Capital Planning, NII Modeling, Driver-Based Modeling, Scenario Analysis, and related financial modeling capabilities.
Modernize modeling architecture to improve scalability, transparency, reproducibility, explainability, reuse, and integration with enterprise planning and decision support.
Lead distinct outcome teams for Capital Planning, NII Modeling, Driver-Based Modeling, Scenario Analysis, and additional modeling capabilities as the domain evolves.
Establish robust patterns for model inputs, calculation engines, versioning, lineage, controls, testing, model outputs, and integration into downstream planning and performance experiences.
Evaluate where AI can accelerate model development, scenario generation, explanation, sensitivity analysis, and user interaction while preserving deterministic calculations and appropriate controls.
Own the target-state technology strategy and roadmap for the domain, including application, integration, data, analytics, AI, automation, and engineering implications.
Drive pragmatic use of rapid prototyping, specification-driven development, AI-assisted engineering, automated testing, and continuous business validation.
Promote systems thinking so solution decisions account for upstream and downstream impacts across workflows, data, architecture, security, controls, and operations.