Senior Technical Product Manager — Decision Intelligence

New York Life Insurance Co.

New York (NY)

Hybrid

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

New York Life Insurance Co. seeks a Senior Technical Product Manager within TDAV to own the Decision Intelligence agenda end-to-end, aligning board priorities with data pipelines, models and architecture.

You will lead a cross-functional pod, partner with engineering and data science, and present to the C-suite, bridging business and technical concerns in a regulated financial services context. Hybrid work arrangement, leadership of a high-ownership team, and the opportunity to shape AI-enabled

Qualifications

  • 12-15 years of experience in product management, tech programs or engineering roles.
  • Proven ability to set strategy and roadmaps at portfolio level.
  • Fluency across front-end, back-end, APIs, data contracts and ML basics.
  • Experience leading cross-functional teams of product, design, eng and data scientists.
  • Comfort with communicating trade-offs to executives.

Responsibilities

  • Set multi-year vision and strategy for the Decision Intelligence portfolio.
  • Own executive sponsorship and roadmap alignment across product lines.
  • Lead a cross-functional pod of product managers, designers, engineers and data scientists.
  • Collaborate with engineering and data science on architecture, models and data contracts.
  • Partner with design to ensure UX quality and user validation.
  • Promote shared components and reuse across intelligence products.
  • Define production-ready standards for models and data governance.

Skills

Product management
Technical program leadership
Engineering collaboration
Leadership
Executive communication
UX collaboration
Ambiguity tolerance

Job description

New York Life Insurance Co. seeks a Senior Technical Product Manager within TDAV to own the Decision Intelligence agenda end-to-end, aligning board priorities with data pipelines, models and architecture.

You will lead a cross-functional pod, partner with engineering and data science, and present to the C-suite, bridging business and technical concerns in a regulated financial services context. Hybrid work arrangement, leadership of a high-ownership team, and the opportunity to shape AI-enabled

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