Director of AI Experience Strategy & Agentic UX

New York Life

New York (NY)

On-site

USD 119,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Comprehensive benefits
Leave programs
Adoption assistance
Student loan repayment

Job summary

New York Life is seeking a Director to shape how we define, structure, and govern AI experiences for field personas including agents, advisors, and recruiters. You will partner with product, design, compliance, technology, and business units to translate leadership vision into actionable strategies.

You will lead future-state concepts, develop experimentation plans, build reusable AI patterns, and drive governance frameworks.

Qualifications

  • 10+ years in product strategy, experience strategy, or strategic facilitation in complex, matrixed organizations.
  • Demonstrated expertise in life insurance or related financial services; track record developing strategic frameworks.
  • Hands-on AI concept development and experience translating regulatory requirements into guidance.

Responsibilities

  • AI/Agentic Experience Strategy: facilitate and steward AI experiences for field personas and synthesize leadership vision.
  • Future-State Experience: facilitate visioning for field personas and document current-state workflows.
  • AI Experience Artifacts: pioneer new strategy artifacts and build AI-powered tools.
  • Governance & Collaboration: contribute to AI governance frameworks and communicate strategy to senior leadership.

Skills

Strategic facilitation
AI concepts
Workshop design
Communication
Ambiguity management
Financial services domain

Education

Bachelor’s degree in Business/Finance/Product Mgmt/HCI
Master’s degree preferred

Job description

New York Life is seeking a Director to shape how we define, structure, and govern AI experiences for field personas including agents, advisors, and recruiters. You will partner with product, design, compliance, technology, and business units to translate leadership vision into actionable strategies.

You will lead future-state concepts, develop experimentation plans, build reusable AI patterns, and drive governance frameworks.

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