Commercial & Medical Affairs Domain Enablement Lead

Job Description

The Commercial & Medical Affairs Domain Enablement Lead owns enterprise-wide data governance and Master Data Management (MDM) for the Commercial and Medical Affairs domains, with primary focus on the Customer data domain and a mandate to scale across additional domains over time. This role serves as the subject matter expert for Commercial & Medical Affairs data, setting strategy and driving standards, governance, and adoption to ensure high-quality, scalable, and compliant data across all business units and platforms.

• 1. Domain Governance & Operating Model
  • Deploys and lead the enterprise-wide data governance framework for Commercial and Medical Affairs domains and sub domains, with emphasis on Customer data.
  • Define and maintain the domain operating model including roles, responsibilities, decision rights, escalation paths and operating performance measures and OKR’s.
  • Chair or co-chair domain governance forums, ensuring transparent decision-making and alignment across business and technology stakeholders.
  • Develop key stakeholder relationships and peer network to ensure enterprise needs, domain goals, and data community expectations are collaboratively met.
  • Responsible for ensuring compliance awareness and audit readiness.
• 2. Data Quality, Integrity & Lifecycle Management
  • Be accountable for the quality, integrity, and lifecycle management of the Customer enterprise data domain and associated reference data, metadata, taxonomies, and hierarchies.
  • Define and oversee lifecycle processes (creation, updates, merges, deactivation, archival) for customer and related domain entities.
  • Establish and monitor domain-level data quality KPIs; drive remediation plans and continuous improvement initiatives.
  • Lead end-to-end data enablement across strategy, standards, architecture, ingestion, quality, schema governance, metadata, catalog, lineage, lifecycle, and retention.
  • Partner with delivery and downstream teams to drive measurement, continuous improvement, stakeholder enablement, and clear communication.
• 3. Domain Requirements & Standards
  • Manage requirements for Commercial and Medical Affairs domain-specific data (e.g., quality thresholds, business rules, access needs, stewardship), ensuring alignment with business strategies and regulatory constraints.
  • Deploy and maintain domain standards and feedback, including business definitions, data models, naming conventions, coding schemes, and validation rules.
  • Collaborate with business stakeholders to translate domain requirements into technical specifications for data, analytics, and platform teams.
• 4. Metadata, Taxonomies & Discovery
  • Ensure good quality metadata catalogues for the domain are maintained, including business and technical metadata, lineage, ontologies, controlled vocabularies, and taxonomies.
  • Ensure standardize classification of Customer and related domain data to support consistent reporting, analytics, and regulatory compliance.
  • Enable enterprise search and discovery by ensuring key data assets are well-documented, easily discoverable, and clearly described for business users.
• 5. MDM Strategy & Implementation
  • Direct the implementation and evolution of global MDM platforms, tools, and practices for the Commercial and Medical Affairs domains.
  • Define authoritative data sources, golden record rules (matching, survivorship), and integration patterns to maintain a single source of truth for Customer and related entities.
  • Partner with architecture and delivery teams to ensure MDM capabilities are embedded into solutions, platforms, and workflows.
  • Collaborate with stakeholders across divisions to ensure MDM is implemented consistently across the organization.
• 6. Change Management & Cross-Functional Leadership
  • Facilitate change management for data, metadata, and business rules by establishing standard processes, communication plans, governance checkpoints, and stakeholder alignment.
  • Drive cross-functional alignment on changes that affect domain data (e.g., new attributes, revised rules, hierarchy changes, new external data sources).
  • Ensure downstream impact assessments are performed and that affected teams are prepared and supported through…