The Senior Director, Commercial Data Management and Strategy will own, maintain, and expand the design, build, and ongoing management of our current commercial data ecosystem, and lead the strategy, governance, and execution of Shionogi’s 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 role will drive operational excellence in data acquisition, integration, quality, and delivery.

The right candidate will command deep technical fluency in modern cloud data platforms with a sophisticated understanding of pharmaceutical commercial data, with an appreciation that data is not the final product. We are seeking someone who is comfortable with ambiguity but has experience to identify the right path to recommend and to ‘connect the dots’ across multiple brands and teams. Proactive communication, time management of self and others, as well as the ability to assess and articulate downstream impact during decision-making will be critical success factors for this role.

Vendor and partner support will be ample; however, this role is for someone who leads by doing i.e., providing strategic guidance and subject-matter expertise while personally taking on the work required to deliver.

This is a highly visible role within Commercial Operations and the full organization; this role will work across internal and external stakeholders to implement, enhance, and future-proof Shionogi’s commercial data infrastructure in support of launch readiness, ongoing mergers, and long-term business success.

Commercial Data Warehouse & Architecture

• Own the design, build, daily operations, and long-term evolution of the existing 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 setting the standards, approving the design, and holding partners to it, so the same numbers reconcile across business intelligence, incentive compensation, field reporting, and any AI-driven query interface.
• Future-proof the foundation for AI-enabled consumption by establishing governed semantic definitions, structured metadata, and machine-readable access patterns (e.g., MCP) so conversational analytics, agentic workflows, and AI-assisted reporting can be layered on without re-architecting the warehouse.
• Partner with IT on infrastructure, security, and platform administration, with clear delineation of 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 (payer master data such as Precision AQ; formulary/policy data such as 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 to enable longitudinal patient journey tracking in a rare disease setting.
• Develop and maintain the data operations roadmap across commercial and medical data domains, including project leadership and prioritization across functional areas and data requirements.

Master Data Management & Stewardship

• Own customer reference and master data with extensive direct experience with syndicated customer reference sets i.e., IQVIA OneKey and/or Veeva OpenData — HCP/HCO alignment, affiliations, and CRM synchronization.
• Drive Master Data Management processes across HCP, HCO, payer, product, and territory hierarchies.
• Own and lead the data stewardship team and process; establish matching, quality, and reconciliation standards that create a trusted single source of truth.

Data Governance & Compliance

• Establish and maintain governance standards, SOPs, data inventories and acquisition criteria, and quality frameworks ensuring integrity and compliance (HIPAA, GDPR, 21 CFR Part 11).
• Develop, lead, and communicate the Commercial Data Governance Model to cross-functional stakeholders, including Third-Party Agreements, data visibility/sharing rules, and privacy requirements in partnership with Legal, Compliance, IT, and Finance.
• Working knowledge of consent management requirements and operationalization across multiple marketing and sales initiatives in support of the brand(s) and company.
• Promote transparency and cost efficiency across departments through the governance model.

Analytics & Business Enablement

• Serve as connective tissue between data management and downstream consumers: analytics, field operations and technology, field and home office reporting, incentive compensation, market access, patient services, and forecasting.
• Help design, build, and maintain analytics-ready datasets (product performance, managed care, customer profile) supporting self-service reporting and BI platforms; ensure IC data readiness against quarterly timelines.
• Partner with Field Operations to keep data flowing between the data foundation and CRM (Veeva Vault CRM strongly preferred): customer universe, alignments, targeting, and activity data.
• Anticipate downstream needs proactively; function as primary business-stakeholder point of contact for data operations and deliver ad-hoc diagnostic analyses.

Leadership and Talent Development

• Develop and mentor existing team of commercial data management and operations professionals.
• Create a cohesive “commercial data foundation” environment across commercial data management, IT, and other relevant partners.
• Actively seek out new capabilities and opportunities to improve and enhance current team capacity, including introduction of tools leveraging artificial intelligence and other new technologies.

Qualifications

• 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 a commercial data warehouse from the ground up (or leading a major re-platform), using cloud-based technology such as Snowflake.
• Deep, firsthand experience integrating multiple pharmaceutical data source types (including experience with acquisition and contracting for said 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 patient 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 in partnership with patient support and market access a strong plus.
• Sufficient depth in data architecture and modeling to direct and evaluate a proposed model and judge whether grain, conformed dimensions, hierarchy handling, and historical/restatement treatment will hold up under real use case demands, and to tell a vendor when a design is wrong and why.
• Hands-on experience across all three areas of commercial operations, commercial analytics, and commercial data management is strongly preferred; looking for a candidate who has personally built the datasets, run the analyses, and supported the field, and can therefore anticipate downstream needs rather than react to them.
• Demonstrated habit of tracking advances in data and analytics infrastructure such as semantic layers and conversational/semantic analytics, agentic and adaptive workflows, and emerging LLM-to-data interfaces such as MCP (Model Context Protocol, the standard for exposing governed data to AI applications) with the judgment to distinguish durable capability from “vendor hype”.
• Own data usage rights and AI governance for licensed and patient-level data including contractual permissions for AI/LLM processing, and access rules that hold when data is queried by an agent rather than delivered as a report.
• Experience interfacing with field operations and CRM ecosystems; Veeva Vault CRM experience preferred.
• Solid grasp of IT's role in data management — able to speak both business and technical languages and broker effectively between them.
• Proven vendor management skills, including holding partners accountable for quality and delivery.
• Experience with designing and maintaining substantial budgets, including communication across cross-functional needs for data acquisition.

Other Requirements

• Ability and willingness to travel 10-20% of the year.
• Must live a commutable distance to our US Corporate Headquarters in Florham Park, NJ. Office presence is required at least 3 days per week.

Essential Physical and Mental Requirements

• Ability to articulate clearly and conduct verbal presentations with large and small audiences.
• Ability to travel via automobile and/or airplane.
• Ability to view video display terminal images < 18” away from face for extended period – up to four (4) hours at a time.
• Ability to operate a computer keyboard and telephone.
• Ability to sit for extended periods of time – up to four (4) hours at a time.
• Ability to lift, tug, pull up to fifteen (15) pounds.

Additional Information

The base salary range for this full-time position is $250,000 - $280,000. Individual pay is determined by several factors, which include but are not limited to: job-related skills, experience, and relevant education or training. The range does not include the comprehensive benefits, bonus, long-term incentive, applicable allowances, or any additional compensation that may be associated with this role. 

Disclaimer

The job description is not designed to cover or contain a comprehensive listing of requirements, duties or responsibilities that are required of the employee. Other requirements, duties and responsibilities may change or be assigned at any time with or without notice. 

You acknowledge and agree that information described herein may be disclosed to applicable regulatory authorities, alliance partners and/or third-party service providers as necessary for Shionogi to fulfil its obligations under applicable laws, including but not limited to compliance with regulatory inspections and/or audits.