Director, AI Discoverability and Evidence Architecture

Job Description

Digital Human Health is establishing a new enterprise capability to ensure our Companys approved scientific evidence content and digital experiences are discoverable accurately understood authoritatively represented cited and trusted across AI-mediated ecosystems.

The Director AI Discoverability & Evidence Architecture within the Digital Marketing & Channels organization will define the strategy and lead capability development and execution across AI Search Readiness Generative Engine Optimization (GEO) LLM as a Customer and Evidence Architecture.

Working across Medical Commercial Corporate Communications and Digital Human Health this leader will build new enterprise capabilities that strengthen our Companys authority visibility and narrative accuracy in AI-generated experiences ensuring that patients healthcare professionals and other stakeholders receive trusted scientifically grounded information in an increasingly AI-mediated healthcare landscape.

Key Responsibilities

Enterprise Strategy & Capability Leadership:

• Define our Companys long-term AI Discoverability and AI Search Readiness strategy.

• Establish the vision roadmap governance model and investment strategy for GEO and AI Discoverability capabilities.

• Lead evolution of Project Oak and LLM as a Customer initiative into sustainable enterprise services.

• Develop and maintain a multi-year roadmap aligned to business priorities and AI acceleration objectives.

AI Search Readiness:

• Establish repeatable frameworks for assessing AI discoverability opportunities evidence gaps narrative vulnerabilities and competitive risks across pipeline and inline brands.

• Lead AI Search Readiness assessments strategic recommendations activation roadmaps and remediation planning for priority brands and therapeutic areas.

• Integrate AI Search Readiness into relevant launch evidence content brand and digital experience planning processes.

• Develop scalable service models playbooks and engagement approaches that enable adoption across brands functions and markets.

Evidence Architecture & Ontology Strategy:

• Define approaches for evidence architecture language architecture ontology design and machine-readable content standards.

• Drive creation of reusable authority hubs narrative frameworks taxonomy standards and metadata structures supporting AI retrieval.

• Partner with Medical Corporate Communications and Commercial organizations to align evidence planning with AI discovery requirements.

• Shape business and technical requirements for the platforms content models data structures and digital experiences needed to improve machine understanding.

AI Visibility & Measurement:

• Build enterprise capabilities for monitoring AI visibility citation quality narrative accuracy authority signals and competitive positioning.

• Establish ongoing monitoring assessment remediation and governance processes.

• Lead evaluation and implementation of AI visibility and GEO measurement platforms.

Team Leadership & Organizational Development:

• Recruit develop and lead a high-performing team across strategy ontology evidence architecture technical discoverability GEO operations and insights.

• Lead a distributed high-performing team across strategy and brand engagement technical discoverability and monitoring and insights operations.

• Define capability requirements and workforce strategies needed to scale AI Discoverability globally.

• Develop new centers of excellence and communities of practice focused on AI-mediated discovery.

• Establish partnerships with external experts agencies platforms and emerging AI ecosystem providers.

Qualifications

Required:

• Bachelors degree (BA/BS).
• 10 years leading enterprise digital product content search AI analytics or customer experience initiatives.

• Experience translating rapidly evolving technologies into business strategies investment roadmaps scalable services and measurable outcomes.

• Proven ability to lead through influence in highly matrixed environments spanning business medical communications data technology digital and governance functions.

• Systems thinking across people process technology and partner ecosystems

• Strong technical foundation in AI/ML including GenAI and agentic AI concepts with the ability to understand capabilities constraints and practical application within enterprise workflows

• Strong strategic communication storytelling and change leadership skills.

Preferred:

• Experience in the pharmaceutical biotechnology healthcare or life sciences industry.

• Experience working in a regulated environment with medical legal regulatory privacy security and compliance considerations.

• Experience with AI-mediated discovery generative search GEO SEO semantic search knowledge graphs ontologies structured content metadata or evidence architecture.

Required Skills:

Architecture Governance Architecture Governance Asset Management Benefits Management Business Architecture Business Decisions Business Workflow Analysis Computer Science Goal Setting Influencing Skills Machine Learning (ML) Management System Development Organizational Leadership Partner Ecosystem Strategy Platform Development Product Management Product Roadmap Requirements Management Situational Leadership Stakeholder Relationship Management Strategic Objectives Strategic Planning System Designs Systems Thinking Team Development 2 more

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race color age religion sex sexual orientation gender identity national origin protected veteran status disability status or other applicable legally protected a federal contractor we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together talented and committed people with diverse experiences perspectives skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas broad experiences backgrounds and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively.

Learn more about your rights including under California Colorado and other US State Acts

The salary range for this role is

$173200.00 - $272600.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive if applicable.

We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

25%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

10/16/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.