Associate Director, Tagging & Content Measurement Lead

BeiGene

4d•$143,700 - $193,700•Hybrid

About The Position

The Associate Director, Tagging & Content Measurement Lead is responsible for defining, implementing, and scaling enterprise tagging, taxonomy, and content measurement capabilities across Commercial and Medical omnichannel ecosystems. This role serves as the technical authority on how content and campaigns are structured, tagged, and connected across platforms, ensuring consistency, data quality, and interoperability to enable accurate measurement, reporting, and content intelligence. Operating within a regulated, omnichannel environment, this role establishes and governs taxonomy frameworks, metadata standards, UTM structures, and system-integrated workflows that enable consistent tagging of content and tactics across brands, regions, and channels. The position partners closely with Enterprise Content Systems, Data & Analytics, Commercial, Medical, and agency teams to ensure that content is not only compliant and well-structured, but also measurable across the full content lifecycle. A key focus of this role is enabling scalable, system-driven measurement by connecting content metadata in Veeva (content source of truth) with campaign and performance data, ensuring standardized tracking, automated validation, and seamless integration into analytics and data platforms. This role acts as a critical bridge between content systems, data architecture, and business measurement needs, ensuring that tagging and taxonomy capabilities enable end-to-end visibility from content creation through deployment to performance analysis and optimization as content volume, channel complexity, and data-driven decision-making continue to scale globally.

Requirements

Deep expertise with: Enterprise tagging and taxonomy frameworks across content and campaign ecosystems Veeva Vault PromoMats / Vault Medical metadata structures and content organization UTM taxonomy, campaign tracking, and validation
Strong working knowledge of: Digital Asset Management (DAM) platforms and metadata governance Campaign tracking frameworks, including UTM structures and attribution models Data integration across platforms (e.g., Veeva, marketing automation, analytics tools) Analytics and reporting ecosystems (e.g., GA4, data warehouse, dashboards)
Familiarity with: Omnichannel engagement platforms and non-personal promotion ecosystems Data modeling, data pipelines, and content performance measurement frameworks AI-enabled analytics, automation, and content intelligence capabilities
Bachelor's degree or equivalent experience, including 8+ years of experience in marketing technology, data/analytics enablement, content operations, or enterprise platform management, preferably in biotech, pharma, or life sciences.
Proven experience implementing and scaling tagging, taxonomy, or measurement frameworks in a global, regulated environment.
Strong understanding of metadata governance, data quality management, and enterprise data standards.
Hands-on experience with Veeva Vault and Claravine, including integration with downstream analytics platforms.
Experience enabling end-to-end content measurement, including campaign tracking, attribution, and reporting.
Demonstrated ability to lead platform strategy, technical implementation, and cross-system integration initiatives.
Strong stakeholder management skills with the ability to translate business needs into scalable technical solutions.
Highly analytical, detail-oriented, and comfortable operating in complex, matrixed organizations.

Responsibilities

Translate strategy into enterprise technology, tagging and taxonomy standards across content and campaign ecosystems including: Content metadata in Veeva Vault (PromoMats / Vault Medical) Campaign and tactic tagging through Claravine Analytics and reporting data structures
Establish clear principles for taxonomy design, metadata consistency, scalability, and governance in a regulated environment.
Ensure tagging standards align with enterprise data strategy, compliance requirements, and omnichannel measurement objectives.
Lead technical implementation and configuration of tagging capabilities across: Veeva Vault for content metadata and asset structuring Claravine for UTM taxonomy, campaign tracking, and validation Downstream analytics and data platforms (e.g., data warehouse, GA4)
Enable standardized workflows for campaign setup including: Campaign string and UTM generation Creative ID management Validation rules and automation
Partner with IT and data teams to integrate tagged data across systems, ensuring consistent data flow and interoperability.
Establish and enable frameworks that connect content metadata and campaign tracking to performance measurement
Ensure tagging enables: Attribution and campaign performance tracking Content usage analysis and reuse insights
Support integration of taxonomy and tagging into enterprise dashboards and reporting environments
Drive metadata completeness and accuracy to improve measurement reliability and insight generation
Develop and scale operational processes for tagging across internal teams and external agencies
Configure and maintain Claravine templates and taxonomy structures for consistent execution
Reduce manual effort and rework through system-driven validation and automation
Support rollout and adoption of taxonomy frameworks including future-state models
Maintain documentation, training materials, and enablement resources to support global adoption
Define and enforce governance models for taxonomy ownership, updates, and lifecycle management
Implement validation controls to ensure tagging accuracy, completeness, and compliance
Monitor data quality and resolve inconsistencies across systems and channels
Ensure tagging supports regulatory, medical, and data privacy requirements
Partner closely with: Enterprise Content Systems for platform enablement Data and Analytics teams for measurement and reporting integration Commercial, Medical, and Digital teams for execution requirements
Translate business measurement needs into scalable technical solutions and platform capabilities
Lead workshops, working sessions, and governance forums to align taxonomy evolution and adoption
Identify opportunities to enhance tagging automation, system integration, and analytics capabilities
Drive standardization of workflows to improve efficiency, data quality, and scalability
Leverage tagged data to inform content optimization, audience targeting, and performance improvement
Support advancement of content intelligence capabilities, including AI-driven measurement and insights
May have direct people management responsibilities, including hiring, performance management, and development of tagging, taxonomy, and data enablement resources.
Provides strategic and operational leadership to platform teams, data and analytics partners, and cross-functional contributors supporting tagging and content measurement capabilities.
Oversees vendor and system integrator resources supporting Claravine, Veeva, and downstream data integration and analytics enablement.