Define & Maintain Enterprise Taxonomy & Tagging Framework
- Develop a comprehensive taxonomy covering content customer channel product campaign and engagement classifications.
- Build tagging standards and libraries to support personalization analytics search/discovery and automation.
- Ensure consistency and usability of tag libraries across platforms (CRM marketing automation content management analytics).
Build the Tagging COE Operating Model & Governance
- Establish the Taxonomy & Tagging Center of Excellence as a service line: policies roles/responsibilities governance forums and SLA models.
- Define change-control processes for taxonomy updates tag retirements versioning and business-impact assessments.
- Lead the COE team including taxonomy architects tag librarians tool/platform specialists vendor/agency partners.
Enable Omnichannel Execution Automation & Analytics
- Partner with Omnichannel Engine and CRM/MA teams to embed taxonomy/tagging logic into workflows user journeys and automation.
- Ensure taxonomy supports downstream analytics AI/ML personalization logic next-best-engagement and reporting.
- Collaborate with Business Insights & Technology to align tag metadata with data models identity resolution and platform integrations.
Ensure Asset Discovery Compliance & Efficiency
- Oversee tagging of content and assets (digital field print) to support rapid retrieval reuse personalization and targeting.
- Ensure tagging frameworks and asset metadata support regulatory legal and compliance reviews as required by pharma commercial operations.
- Drive efficiency by reducing duplication improving asset findability and standardizing metadata across franchises.
Drive Adoption Training & Change Management
- Develop training programs playbooks and user guides for content creators marketers Sales digital and vendor teams on taxonomy/tagging best practices.
- Lead stakeholder engagement and adoption initiatives to embed tagging practices into standard workflows and asset build cycles.
- Monitor usage metrics (tag compliance reuse rate asset search time) and refine frameworks based on feedback and performance.
Continuous Improvement & Innovation
- Monitor emerging trends in taxonomy tagging metadata standards content classification and agentic use of metadata in pharma.
- Pilot tagging automation tools (auto-tagging GenAI models taxonomy suggestion engines) to enhance scale and speed.
- Review and refine taxonomy frameworks periodically to ensure they support evolving omnichannel strategies channel mix and regulatory environment.
Drive Cross-Functional Cross-Market and Cross-TA Alignment
- Engage Marketing Sales Medical Market Access and Global teams to understand tagging needs and operating realities
- Ensure taxonomy and tagging standards work across all therapeutic areas as well as ex-US teams where relevant
- Maintain a unified taxonomy strategy while enabling local flexibility where justified by business value
Enable Tagging Tooling Automation & Data Integrity
- Partner with Business Insights & Technology to select and configure taxonomy/tagging tooling within the enterprise platform ecosystem
- Pilot and operationalize auto-tagging and metadata enrichment technologies including AI-assisted classification
- Ensure tags remain accurate and valid across their lifecycle through monitoring automated validations and remediation workflows
- Establish controls that prevent misclassification duplication or degradation of metadata over time
Build Lead & Develop a High-Performing Taxonomy & Tagging Team
- Set performance expectations that emphasize consistency quality speed and partnership with omnichannel stakeholders
- Create a culture of continuous learning operational excellence and metadata stewardship
- Define roles governance interactions and career pathways to grow future capability leaders
- Bachelors degree in Information Science Computer Science Data Management Business or a related field (advanced degree preferred)
- Minimum 8 years of experience in life sciences pharmaceutical or healthcare industry including taxonomy metadata data management or commercial operations
- Expertise in designing and managing enterprise taxonomies metadata frameworks and tag libraries
- Hands-on experience with taxonomy/tagging platforms DAM/CMP systems Veeva Vault PromoMats CRM/marketing automation or CDP/MDM platforms
- Proven experience establishing governance models change-control processes and operating frameworks for taxonomy & tagging standards
- Technical proficiency with metadata ontology classification engines auto-tagging and AI-assisted metadata enrichment solutions
- Experience leading cross-functional teams including taxonomy specialists tag librarians tool/platform experts and vendors
- Track record of supporting personalization analytics automation and regulatory compliance via taxonomy and tagging practices
- Strong communication training and stakeholder engagement capabilities to drive adoption of taxonomy and tagging best practices
Key competencies desired:
Taxonomy & Metadata Strategy
- Expertise in designing enterprise taxonomies metadata frameworks tag libraries and governance models in commercial/content ecosystems.
- Strong ability to map business/marketing workflows into tag architecture and metadata schemas that support personalization automation and analytics.
Platform Integration & Data Fluency
- Understanding of how taxonomy and tagging feed into CRM marketing-automation content-management analytics and orchestration engines.
- Ability to engage with Business Insights and Technology to ensure tags align with identity management segmentation master data and unified customer views.
Taxonomy & Tagging Technology Proficiency
- Strong understanding of enterprise taxonomy/tagging solutions and their configuration within content and data platforms (e.g. DAM/CMP Veeva Vault PromoMats CRM/MA systems CDP/MDM environments)
- Ability to evaluate select and optimize tooling that supports metadata governance asset discovery and automation enablement
- Familiarity with auto-tagging AI-assisted metadata enrichment and classification engines to improve accuracy and operational efficiency
Governance & Operating Model Leadership
- Skilled at building and governing Centres of Excellence including policies process design stakeholder engagement and performance measurement.
- Comfortable leading change-control frameworks versioning models and service-level agreements for taxonomy/tagging capabilities.
Stakeholder Engagement & Influence
- Proven ability to work cross-functionally (Marketing Sales Market Access Medical Business Insights and Technology) to align tagging practices and enforce adoption.
- Strong communication skills to explain metadata architecture and classification rules in business-friendly terms.
Change Management & Enablement
- Deep experience training and enabling teams in new ways of working around asset tagging metadata use and discoverability.
- Ability to drive cultural uptake of tagging discipline tag reuse and metadata governance in a high-volume commercial environment.
Innovation & Automation Orientation
- Awareness of new technologies (auto-tagging GenAI models taxonomy suggestion engines) and how they can scale tagging operations.
- Ability to pilot evaluate and integrate new tools to improve tagging speed accuracy and ROI.
Operational Efficiency & Performance Focus
- Metrics-driven orientation: uses tag compliance discovery time reuse rate asset search efficiency and taxonomy usage to drive improvement.
- Strong focus on reducing waste driving standardization and improving the speed and quality of omnichannel activation via improved metadata/tag frameworks.
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Define & Maintain Enterprise Taxonomy & Tagging Framework
- Develop a comprehensive taxonomy covering content customer channel product campaign and engagement classifications.
- Build tagging standards and libraries to support personalization analytics search/discovery and automation.
- Ensure consistency and usability of tag libraries across platforms (CRM marketing automation content management analytics).
Build the Tagging COE Operating Model & Governance
- Establish the Taxonomy & Tagging Center of Excellence as a service line: policies roles/responsibilities governance forums and SLA models.
- Define change-control processes for taxonomy updates tag retirements versioning and business-impact assessments.
- Lead the COE team including taxonomy architects tag librarians tool/platform specialists vendor/agency partners.
Enable Omnichannel Execution Automation & Analytics
- Partner with Omnichannel Engine and CRM/MA teams to embed taxonomy/tagging logic into workflows user journeys and automation.
- Ensure taxonomy supports downstream analytics AI/ML personalization logic next-best-engagement and reporting.
- Collaborate with Business Insights & Technology to align tag metadata with data models identity resolution and platform integrations.
Ensure Asset Discovery Compliance & Efficiency
- Oversee tagging of content and assets (digital field print) to support rapid retrieval reuse personalization and targeting.
- Ensure tagging frameworks and asset metadata support regulatory legal and compliance reviews as required by pharma commercial operations.
- Drive efficiency by reducing duplication improving asset findability and standardizing metadata across franchises.
Drive Adoption Training & Change Management
- Develop training programs playbooks and user guides for content creators marketers Sales digital and vendor teams on taxonomy/tagging best practices.
- Lead stakeholder engagement and adoption initiatives to embed tagging practices into standard workflows and asset build cycles.
- Monitor usage metrics (tag compliance reuse rate asset search time) and refine frameworks based on feedback and performance.
Continuous Improvement & Innovation
- Monitor emerging trends in taxonomy tagging metadata standards content classification and agentic use of metadata in pharma.
- Pilot tagging automation tools (auto-tagging GenAI models taxonomy suggestion engines) to enhance scale and speed.
- Review and refine taxonomy frameworks periodically to ensure they support evolving omnichannel strategies channel mix and regulatory environment.
Drive Cross-Functional Cross-Market and Cross-TA Alignment
- Engage Marketing Sales Medical Market Access and Global teams to understand tagging needs and operating realities
- Ensure taxonomy and tagging standards work across all therapeutic areas as well as ex-US teams where relevant
- Maintain a unified taxonomy strategy while enabling local flexibility where justified by business value
Enable Tagging Tooling Automation & Data Integrity
- Partner with Business Insights & Technology to select and configure taxonomy/tagging tooling within the enterprise platform ecosystem
- Pilot and operationalize auto-tagging and metadata enrichment technologies including AI-assisted classification
- Ensure tags remain accurate and valid across their lifecycle through monitoring automated validations and remediation workflows
- Establish controls that prevent misclassification duplication or degradation of metadata over time
Build Lead & Develop a High-Performing Taxonomy & Tagging Team
- Set performance expectations that emphasize consistency quality speed and partnership with omnichannel stakeholders
- Create a culture of continuous learning operational excellence and metadata stewardship
- Define roles governance interactions and career pathways to grow future capability leaders
- Bachelors degree in Information Science Computer Science Data Management Business or a related field (advanced degree preferred)
- Minimum 8 years of experience in life sciences pharmaceutical or healthcare industry including taxonomy metadata data management or commercial operations
- Expertise in designing and managing enterprise taxonomies metadata frameworks and tag libraries
- Hands-on experience with taxonomy/tagging platforms DAM/CMP systems Veeva Vault PromoMats CRM/marketing automation or CDP/MDM platforms
- Proven experience establishing governance models change-control processes and operating frameworks for taxonomy & tagging standards
- Technical proficiency with metadata ontology classification engines auto-tagging and AI-assisted metadata enrichment solutions
- Experience leading cross-functional teams including taxonomy specialists tag librarians tool/platform experts and vendors
- Track record of supporting personalization analytics automation and regulatory compliance via taxonomy and tagging practices
- Strong communication training and stakeholder engagement capabilities to drive adoption of taxonomy and tagging best practices
Key competencies desired:
Taxonomy & Metadata Strategy
- Expertise in designing enterprise taxonomies metadata frameworks tag libraries and governance models in commercial/content ecosystems.
- Strong ability to map business/marketing workflows into tag architecture and metadata schemas that support personalization automation and analytics.
Platform Integration & Data Fluency
- Understanding of how taxonomy and tagging feed into CRM marketing-automation content-management analytics and orchestration engines.
- Ability to engage with Business Insights and Technology to ensure tags align with identity management segmentation master data and unified customer views.
Taxonomy & Tagging Technology Proficiency
- Strong understanding of enterprise taxonomy/tagging solutions and their configuration within content and data platforms (e.g. DAM/CMP Veeva Vault PromoMats CRM/MA systems CDP/MDM environments)
- Ability to evaluate select and optimize tooling that supports metadata governance asset discovery and automation enablement
- Familiarity with auto-tagging AI-assisted metadata enrichment and classification engines to improve accuracy and operational efficiency
Governance & Operating Model Leadership
- Skilled at building and governing Centres of Excellence including policies process design stakeholder engagement and performance measurement.
- Comfortable leading change-control frameworks versioning models and service-level agreements for taxonomy/tagging capabilities.
Stakeholder Engagement & Influence
- Proven ability to work cross-functionally (Marketing Sales Market Access Medical Business Insights and Technology) to align tagging practices and enforce adoption.
- Strong communication skills to explain metadata architecture and classification rules in business-friendly terms.
Change Management & Enablement
- Deep experience training and enabling teams in new ways of working around asset tagging metadata use and discoverability.
- Ability to drive cultural uptake of tagging discipline tag reuse and metadata governance in a high-volume commercial environment.
Innovation & Automation Orientation
- Awareness of new technologies (auto-tagging GenAI models taxonomy suggestion engines) and how they can scale tagging operations.
- Ability to pilot evaluate and integrate new tools to improve tagging speed accuracy and ROI.
Operational Efficiency & Performance Focus
- Metrics-driven orientation: uses tag compliance discovery time reuse rate asset search efficiency and taxonomy usage to drive improvement.
- Strong focus on reducing waste driving standardization and improving the speed and quality of omnichannel activation via improved metadata/tag frameworks.
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