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Corporate Vice President, Director, AI Search

New York Life · New York, NY · 3 days ago
Engineering$119k/yrFull-time

Position Overview

The Director of AI Search and Marketing Experience Strategy is a strategic leadership role within the AI/Agentic Experience Strategy function, accountable for three interconnected areas: leading New York Life’s AI Search strategy (Answer Engine Optimization, Generative Answer Optimization, and AI-mediated discoverability), defining AI-driven acquisition strategies and journeys, and shaping AI/agentic strategies for marketing experiences.

Key Responsibilities

  • Lead the cross-functional strategy and program for Answer Engine Optimization (AEO), Generative Answer Optimization (GAO), and AI-mediated discoverability, establishing New York Life’s approach to being accurately and favorably represented in AI search environments including ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, and emerging AI agents.

  • Collaborate cross-functionally to define and maintain strategic frameworks for how New York Life’s content, knowledge assets, and brand voice should be structured, optimized, and governed to perform in large language model and AI-generated answer contexts.

  • Drive cross-functional collaboration with Content Strategy, Brand, Experience Design, VOC, Performance Marketing, Enablement, AI Product Management, and Technology teams to translate AEO/GAO strategy into actionable programs, content standards, and workflow integrations.

  • Define AI-driven acquisition strategies that leverage AI search, AI-mediated discovery, and AI-enabled marketing channels to generate and capture demand across product lines and audience segments, including consumer acquisition and field recruiting awareness.

  • Partner with Experience Design and research/voice of customer teams to map and optimize AI-influenced acquisition journeys, identifying where AI touchpoints create entry points and guide prospects into the right areas of New York Life.

  • Partner with analytics, Consumer Marketing, Performance Marketing, and Growth teams to establish measurement frameworks for AI search presence and AI’s contribution to acquisition outcomes, including attribution across AI-mediated touchpoints.

  • Distinguish credible AI search optimization approaches from vendor hype, maintaining a pragmatic, evidence-based program that prioritizes sustainable content quality over short-term tactics.

Structured Data, Content Architecture, and AI Discoverability

  • Facilitate strategy and alignment for structured data, schema markup, and content architecture as they relate to AI search discoverability and LLM citation performance.

  • Partner with Content Strategy, SEO, Enablement, Dotcom, and Technology teams to define and implement content structuring standards that improve how New York Life’s knowledge assets are ingested, indexed, and surfaced by AI systems.

  • Partner with Enablement, Technology, Data, and Product teams to evaluate and recommend approaches to knowledge graph development, entity resolution, and semantic content modeling that support both traditional and AI-mediated search performance.

AI Experience Artifacts, Tooling, And Practice Innovation

  • Partner broadly to pioneer new artifact types for AI search and marketing experiences, such as AI search performance dashboards, competitive representation maps, and AI acquisition attribution models that make AI-mediated demand visible and measurable.

  • Build and use AI-powered tools to accelerate strategy work, including competitive intelligence analysis, experience visualizations, and rapid iteration on AI search and marketing artifacts.

AI Experience Product Management

  • Partners heavily support the AI Experience Product Management team, ensuring that AI search insights, acquisition strategies, and marketing experience requirements inform product capability priorities and roadmap decisions.

  • Translate AI experience strategy, governance frameworks, and marketing experience requirements into product inputs including capability briefs, use case definitions, and prioritization recommendations.

  • Participate in product portfolio reviews, roadmap planning, and capability prioritization discussions, providing experience-grounded perspective on sequencing, trade-offs, and investment decisions.

  • Identify gaps or misalignments between experience strategy intent and product delivery direction, and work collaboratively with both functions to resolve them.

Governance, Stakeholder Alignment, and Cross-Functional Collaboration

  • Support the development and maintenance of AI experience governance frameworks and guardrail standards, with particular attention to AI search, acquisition, and marketing experience contexts.

  • Ensure AI Search programs and marketing AI strategies incorporate compliance, legal, regulatory, and risk requirements, surfacing constraints early and translating them into practical guidance.

  • Build and maintain strong working relationships across Content Strategy, Performance Marketing, SEO, Consumer Marketing, Product Management, Product Design, Technology, Data and AI, Compliance, and Enablement.

  • Communicate AI Search strategy, acquisition strategy, and marketing experience recommendations clearly to senior leadership and working-level cross-functional partners.

Qualifications

  • Education: Bachelor’s degree in Business, Marketing, Product Management, Human-Computer Interaction, or a related field; Master’s degree preferred.

  • Experience: 10+ years of progressive experience in digital strategy, product strategy, content strategy, or marketing strategy, with demonstrated responsibility for cross-functional programs or capability portfolios. 5+ years working with AI, machine learning, or emerging technology in a strategy, product, or consulting capacity, with applied experience in consumer-facing or marketing contexts. Prior experience leading or contributing to SEO, content strategy, or digital discoverability programs; direct experience with AI search, AEO, or generative search optimization strongly preferred.

  • Skills: Strong command of AI search and discoverability domains, including structured data, schema markup, knowledge graph concepts, content architecture for LLM citation, and generative search optimization approaches. Working fluency across AI technology domains relevant to marketing and experience strategy, including generative AI, agentic systems, RAG-based knowledge systems, and personalization/recommendation models. Hands-on fluency with AI tools and platforms sufficient to develop AI experience concepts, conduct competitive analysis, and build strategy artifacts using AI. Ability to translate between experience strategy and product management contexts, bridging intent with requirements without losing fidelity in either direction. Ability to envision and articulate future-state AI experience models for acquisition and marketing, not just optimize current-state approaches. Strong strategic facilitation and cross-functional program leadership skills; able to structure ambiguous problems and drive groups to actionable conclusions. Excellent communication skills with demonstrated ability to tailor messaging across executive, business, and working-level audiences. Comfortable operating in ambiguity with a bias toward structure, pragmatic progress, and healthy skepticism toward hype.

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