Associate Director, Pharma Commercial Data Management

We are seeking anAssociate Director Pharma Commercial Data Managementto provide strategic and operational leadership for the development stewardship and delivery of scalable analytics-ready data products supporting commercial analytics and decision-making.

This roleis responsible fortranslating business needs into functional data requirements partnering closely with IT and analytics teams andprioritizing and driving deliveryof high-quality governed data products through DevOps and vendor teams.

Key Responsibilities

Own and Manage Requirements for Data Products

• Understand business use cases and translate them into clear actionable functional requirements for data models.

• Collaborate with Intelligence Product Owners and Analytics teams to document business rules and ensure alignment with analytical needs.

• Serve as the primary point of accountability to prioritize data product requirements based on business value analytics impact and delivery feasibility.

• Provide ongoing direction and clarification to DevOps and vendor teams to ensure requirements are implemented as intended.

Data Modeling

• Provide direction and guidance on the design and evolution of scalable data architecture supporting commercial analytics use cases.

• Define logical data models and oversee physical data models that support reusability performance and governance.

• Ensure data models are analytics-ready scalable and aligned to defined success metrics.

Partner with IT team

• Collaborate closely with Gilead IT to execute new build projects and enhancements.

• Oversee and guide DevOps teams to ensuretimelyand high-quality delivery of data solutions.

• Align technical design with business requirements and ensure architectural consistency.

• Ensure operational excellence in data ingestion transformation and delivery processes.

• Build andmaintainrobust scalable and automated data pipelines across internal and external sources.

• Prioritize plan mitigate tech & business risks and manage outcomes of DevOps teams delivering data ingestion transformation and analytics-ready datasets.

Own and Manage Kite Master Data Management (MDM)

• Manage HCP (Healthcare Professional) HCOand Payer MDM systems to ensureaccurate complete and unified customer profiles.

• Ensure MDM processes and outputs align with Kites business requirements and downstream analytics needs.

• Promote and remove barriers toadoptionof MDM across all domains andfunctionand actively.

Data Stewardship Governance & Compliance

• Ensure data products are cleantimely compliant and analytics-ready through strong stewardship governance and quality practices.

• Drive data quality monitoring alerting and remediation processes in partnership with IT and vendors.

• Define data quality success metrics and ensure remediation activities are appropriately prioritized.

• Manage vendor SLAs and ensure adherence to data quality governance and compliance standards.

• Oversee practical governance practices including metadata management access control and data lineage.

• Ensure compliance with internal policies and external regulations (e.g. GDPR CCPA).

Data Onboarding & Data Products

• Adopt enterprise mindset for dataproducts.

• Ensure clear specifications and Functional Impact Assessments (FIAs) for onboarding new data sources.

• Establishmonitor and enforce SLAs with external vendors to ensuretimelyandaccuratedata delivery.

• Leadonboarding ofnew data sources stabilize them to a steady state and manage ongoing cadence with data partners.

• Own data products end-to-end from onboarding through steady-state operations ensuring reliability relevance and sustained business value.

• Continuously evaluate existing data products tooptimizecost quality and usability.

Self-Service & AI.

• Enable self-service for commercial business functions by increasing access to trusted well-documented data products and insights.

• Work with leadership to shape the roadmap for AI based transformation of data governance and data product management and own the execution.

• Develop and plan and execution strategy to evolve the data products and enable GenAI ready data backbone

• Leverage AI tools to simplify on-demand access to trusted data and insights whilemaintaininggovernance and quality standards.

Basic Qualifications

PhD in Data Management Computer Science Information Systems or a related field and5 yearsof related experience

OR

Mastersdegree in Data Management Computer Science Information Systems or a related field and8 yearsof related experience

OR

Bachelors degree in Data Management Computer Science Information Systems or a related field and10 yearsof related experience

Preferred Qualifications

• 810 years of experience in commercial data management data modeling and data operations preferably in life sciences or pharmaceutical organizations

• 6 years working with pharmaceutical commercial data including HCP account and engagement data

• Deep experience in data governance including MDM data stewardship and data quality management with accountability for operational outcomes

• Experience buildingoperating and evolving cloud-based data warehouses and/or data lakes supporting analytics-ready data products

• Strong hands-on experience with modern data platforms and analytics platforms with the ability to guide architectural and delivery decisions. AWS Databricks Tableau experience preferred

• AI enthusiast with hands-on experience developingAIdrivensolutions for data management analytics and/or reporting

• Proven experience leading complex cross-functional data initiatives and directing delivery through DevOps teams and vendor partners.

• Strong communicationand stakeholder management skills withdemonstratedability to influence priorities and translate technical concepts into business and analytics outcomes.

• Demonstrated ability to build durable partnerships across business IT analytics and external partners.

• Ability to present data products delivery status risks and roadmap tradeoffs to senior and diverse stakeholder audiences.