Director, Global Data Strategy & Operations

The Director Global Data Strategy & Operations will define and execute the commercial data strategy for the global commercial organization. This leadersetsthe vision for how commercial data isacquired structured governed and activated across forecasting reporting analytics and AI systems and agents. Partnering closely with senior commercial leadership IT Procurement and analytics teams the director will ensure that data investments are businessaligned compliant and scalable reporting directly to the Executive Director Operations Strategy and Business Insights.

Responsibilities

This is ahands-onrole that willexecute and design along with directing vendor activity.

Data Acquisition Strategy

• Collaborate with business partners todetermineCYTK data needs to drive strategic decisions across brands market access field engagement and patient support.

• Manage budget contracts renewals and resource allocations for all data- and reporting-related vendors and tools.

• Track vendor value and ROI to ensurespendingaligns with prioritized commercial use cases.
  

Data ArchitectureGovernance& Platforms

• Own the overall commercial data architecture including the blueprint for the data platform (warehouse/lakehouse data marts semantic layer and data products).

• Establish and enforce data standards governance processes and controls to keep dataaccurate consistent compliant HIPAA-safe and ready for downstream use.

• Lead the design and evolution of commercial data models and pipelines with IT and data engineering providing hands-on review and guidance.

• Ensure that structured semi-structured and unstructured data (e.g. CRM notes omnichannel interactions documents) are captured tagged and modeled as high-quality context datathat could be usedformany solutionsincludingAI and LLM-based.
  

Data &Strategy

• Define andmaintainthe multi-year vision and roadmap for commercial data aligned with brand market access field and patient engagement strategies.

• Establish and oversee commercial master data management (MDM) for key entities (e.g. HCPs HCOs accounts products payers) ensuring consistent governed master records that underpin reporting analytics and AI use cases.

• Identifyand prioritize high-value advanced analytics use cases (e.g. next-best-action omnichannel optimization patient journey analytics field force effectiveness) with senior stakeholders.

• Set principles for how commercial data is structured and packaged forfutureAI agents and LLM-based applications in partnership with IT security and compliance.

Data Vendors & Integrations

• Serve as primary owner for external commercial data vendors managing contracts SLAs troubleshooting and quality issues.

• Ownthe roadmap for integrating transforming and modeling commercial data sources ensuring vendor solutions align to CYTK reference architectures and standards.

• Monitor operational data accuracy and resolve issues quickly when data loads or pipelines break.
  

Data Platform& Enablement

• Drive simplification and standardization across the data ecosystem.

• Work closely with IT on platform needs upgrades and day-to-day reliability including cloud modernization and data observability best practices.

• Champion reusable well-documented dataproductsand certified datasets that support both BI and AI/ML workloads.
  

Reporting & Business Partner Support

• Partner with the Business Reporting team to ensure they have the datato deliver dashboarding and reporting needs

• Translate business requirements into clear data requirements and oversee development to meet timelines and quality expectations.

• Serve as a strategic adviser to senior commercial leaders on how data can drive brand performance field productivity and customer engagement.
  

Operational Leadership

• Oversee data ingestion modeling quality and reporting support including internal and vendor resources.

• EnsureSLAs for data operations and data availability are consistently met.

• Provide training and guidance on how data sources pipelines and datasets work and how to use them effectively.

Qualifications

• Bachelors orMasters degree in Data Management Information Systems Computer Science Life Sciences orsignificantrelevant experience.

• 12 years of experience in data management data governance or enterprise data strategy with leadership responsibility in global organizations.

• Experience within biotechnology or pharmaceuticals is strongly preferred with deep understanding of pharmaceutical commercialization (e.g. patient-level claims EHR/EMR specialty pharmacy/hub and copay data field activity/CRMpayerand market access data).

• Proven experience designing and implementing enterprise data governance and data quality frameworks and partnering with Procurement IT and business stakeholders.

• Experience leading the design and implementation of modern data platforms (e.g. cloud data warehouse/lake house ELT/ETL pipelines semantic/metric layers) with strong familiarity with at least one major cloud ecosystem (e.g. AWS Azure GCP).

• Experience enabling AI and advanced analytics use cases by designing data models semantic layers and metadata structures that support AI agents LLMs and retrieval-augmented generation.

• Strong stakeholder management and executive communication skills witha track recordof influencing senior executives and leading change across global organizations.