Director, AI Discoverability and Evidence Architecture
Merck
Director-level role establishing enterprise capabilities to ensure Merck's scientific evidence and digital content are discoverable and trusted across AI systems. Leads strategy, capability development, and cross-functional teams spanning AI Search Readiness, Generative Engine Optimization, and Evidence Architecture.
Responsibilities
- Define long-term AI Discoverability and Search Readiness strategy with multi-year roadmap and governance model
- Lead AI Search Readiness assessments and activate remediation plans across priority brands and therapeutic areas
- Develop evidence architecture, ontology standards, and machine-readable content frameworks supporting AI retrieval
- Build enterprise monitoring capabilities for AI visibility, citation quality, narrative accuracy, and competitive positioning
- Recruit and lead distributed, high-performing team across strategy, ontology, technical discoverability, and insights operations
Requirements
- Bachelor's degree in any field
- 10+ years leading enterprise digital, product, content, search, AI, analytics, or customer experience initiatives
- Experience translating emerging technologies into scalable business strategies and measurable outcomes
- Proven leadership through influence across matrixed business, medical, communications, and technology functions
- Strong technical foundation in AI/ML, GenAI, and agentic AI concepts and applications
- Strategic communication and change leadership skills
$173.2k - $272.6k
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