Senior Director, Commercial Data Management & Strategy

About the Role

The Senior Director, Commercial Data Management and Strategy will own, maintain, and expand the design, build, and ongoing management of Shionogi’s commercial data ecosystem. This role leads the strategy, governance, and execution of commercial data assets to ensure timely, accurate, and compliant data availability for business insights. Acting as the primary liaison between external data providers and internal stakeholders (Commercial, Market Access, Medical, Finance, IT, Analytics), this position drives operational excellence in data acquisition, integration, quality, and delivery.

The ideal candidate will combine deep technical fluency in modern cloud data platforms with a sophisticated understanding of pharmaceutical commercial data. This role requires comfort with ambiguity, proactive communication, and the ability to assess and articulate downstream impacts during decision-making. The position is highly visible within Commercial Operations and the broader organization, working across internal and external stakeholders to future-proof Shionogi’s commercial data infrastructure.

Responsibilities

• Commercial Data Warehouse & Architecture
  • Own the design, build, daily operations, and long-term evolution of the commercial data warehouse on modern cloud technology (Snowflake, Databricks, AWS/Azure), including data models, ETL pipelines, and reporting platforms.
  • Define and enforce data architecture standards supporting scalability, auditability, and analytics-readiness; translate business requirements into warehouse architecture and system enhancements.
  • Own the semantic layer, including certified metric definitions, conformed dimensions, and business logic, ensuring consistency across business intelligence, incentive compensation, field reporting, and AI-driven interfaces.
  • Future-proof the foundation for AI-enabled consumption by establishing governed semantic definitions, structured metadata, and machine-readable access patterns (e.g., MCP) for conversational analytics and agentic workflows.
  • Partner with IT on infrastructure, security, and platform administration, delineating business vs. technical ownership.
• Data Acquisition & Source Integration
  • Own acquisition, ingestion, and integration of syndicated data (e.g., IQVIA national/subnational, claims, Rx, EDI 852/867), including quality validation and restatement handling.
  • Integrate payer and market access data (e.g., Precision AQ, MMIT) to support access analytics and pull-through reporting.
  • Lead integration of de novo and emerging sources: patient support hub data, specialty pharmacy dispense/status feeds, and patient tokenization for longitudinal patient journey tracking in rare disease settings.
  • Develop and maintain the data operations roadmap across commercial and medical data domains, including project leadership and prioritization.
• Master Data Management & Stewardship
  • Own customer reference and master data with direct experience in syndicated customer reference sets (e.g., IQVIA OneKey, Veeva OpenData) for HCP/HCO alignment, affiliations, and CRM synchronization.
  • Drive Master Data Management processes across HCP, HCO, payer, product, and territory hierarchies.
  • Lead the data stewardship team and process; establish matching, quality, and reconciliation standards for a trusted single source of truth.
• Data Governance & Compliance
  • Establish and maintain governance standards, SOPs, data inventories, and quality frameworks ensuring integrity and compliance (HIPAA, GDPR, 21 CFR Part 11).
  • Develop and communicate the Commercial Data Governance Model to cross-functional stakeholders, including Third-Party Agreements, data visibility/sharing rules, and privacy requirements.
  • Operationalize consent management requirements across marketing and sales initiatives.
  • Promote transparency and cost efficiency through the governance model.
• Analytics & Business Enablement
  • Serve as the connective tissue between data management and downstream consumers (analytics, field operations, reporting, incentive compensation, market access, patient services, and forecasting).
  • Design, build, and maintain analytics-ready datasets (product performance, managed care, customer profile) supporting self-service reporting and BI platforms.
  • Partner with Field Operations to ensure data flows between the data foundation and CRM (Veeva Vault CRM preferred).
  • Anticipate downstream needs proactively and deliver ad-hoc diagnostic analyses.
• Leadership and Talent Development
  • Develop and mentor the commercial data management and operations team.
  • Create a cohesive "commercial data foundation" environment across commercial data management, IT, and other partners.
  • Seek new capabilities and opportunities to enhance team capacity, including tools leveraging artificial intelligence.

Requirements

• Bachelor's degree in a quantitative, technical, or life sciences field; advanced degree a plus.
• 12+ years of experience in pharmaceutical/biotech commercial data management, commercial operations, or analytics, with at least 3–5 years in a leadership capacity.
• Demonstrated experience building or re-platforming a commercial data warehouse using cloud-based technology (e.g., Snowflake).
• Deep experience integrating pharmaceutical data sources:
  • Syndicated data (IQVIA or comparable).
  • Payer master data (Precision AQ or similar).
  • Formulary/policy data (MMIT, Fingertip Formulary, or similar).
  • Customer reference data (IQVIA OneKey and/or Veeva OpenData).
  • De novo sources: Hub/patient services data, specialty pharmacy data, and patient tokenization for longitudinal tracking.
• Working knowledge of rare disease or specialty product data challenges (small populations, blinded data, tokenized patient journeys); expertise in designing rare disease data journeys is a strong plus.
• Sufficient depth in data architecture and modeling to evaluate proposed models and ensure they meet real use case demands.
• Hands-on experience across commercial operations, analytics, and data management to anticipate downstream needs.
• Demonstrated ability to track advances in data and analytics infrastructure (e.g., semantic layers, conversational analytics, agentic workflows, LLM-to-data interfaces like MCP).
• Experience with data usage rights and AI governance for licensed and patient-level data, including contractual permissions for AI/LLM processing.
• Experience interfacing with field operations and CRM ecosystems; Veeva Vault CRM experience preferred.
• Solid grasp of IT's role in data management; ability to broker effectively between business and technical teams.
• Proven vendor management skills, including holding partners accountable for quality and delivery.
• Experience designing and maintaining substantial budgets for data acquisition.

Other Requirements

• Ability and willingness to travel 10-20% of the year.
• Must live within a commutable distance to US Corporate Headquarters in Florham Park, NJ; office presence required at least 3 days per week.
• Essential physical and mental requirements:
  • Ability to articulate clearly and conduct verbal presentations.
  • Ability to travel via automobile and/or airplane.
  • Ability to view video display terminal images <18” away for extended periods (up to 4 hours).
  • Ability to operate a computer keyboard and telephone.
  • Ability to sit for extended periods (up to 4 hours).
  • Ability to lift, tug, or pull up to 15 pounds.

Pay

The base salary range for this full-time position is $250,000 - $280,000. Individual pay is determined by job-related skills, experience, and relevant education or training. The range does not include comprehensive benefits, bonus, long-term incentive, or additional compensation associated with the role.