Sr Manager, Pharma Commercial Data Management

We are seeking a strategic and execution-focused Sr Manager, Data Management to lead the development, stewardship, and operations of scalable, analytics-ready data products. This role will be responsible for translating business needs into functional data requirements, partnering with IT to deliver robust data infrastructure, and ensuring high-quality, governed data assets that power insights and decision-making across the organization.

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.

Data Architecture & Modeling

• Lead the design and evolution of scalable data architecture across insights and analytics products.

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

Partner with Gilead IT

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

• Oversee and guide DevOps teams to ensure timely and 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 and maintain robust, scalable, and automated data pipelines across internal and external sources.

Oversee Master Data Management (MDM)

• Manage HCP (Healthcare Professional) and Account MDM systems to ensure accurate, complete, and unified customer profiles.

• Ensure MDM processes and outputs align with Kite’s business requirements and downstream analytics needs.

Data Stewardship & Quality

• Ensure data products are clean, timely, and analytics-ready through rigorous stewardship practices.

• Drive data quality monitoring, alerting, and remediation processes.

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

Governance & Compliance

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

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

Data Onboarding & Lifecycle Management

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

• Establish, monitor, and enforce SLAs with external vendors to ensure timely and accurate data delivery.

• Lead onboarding of new data sources, stabilize them to a steady state, and manage ongoing cadence with data partners.

Enablement & Self-Service

• Advance the vision of enabling self-service for commercial business functions by increasing access to trusted data and insights.

• Mature the Pace Data Lab roadmap by integrating new data sources and expanding capabilities.

• Leverage AI tools to simplify on-demand access to insights and empower business users.

Basic Qualifications

• Master’s degree in Data Management, Computer Science, Information Systems, or a related field and 6 years of related experience OR

• Bachelor’s degree in Data Management, Computer Science, Information Systems, or a related field and 8 years of related experience

Preferred Qualifications

• 8+ years of experience in data management, data modeling and operations preferably in a life sciences company

• 5+ years working with of pharmaceutical data

• Experience in Data Governance - MDM, Data Stewardship, data quality management

• Experience building and operating Data warehouse/Datalake on cloud

• Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure). Knowledge of AWS, Databricks, Tableau is highly preferred

• Proven experience leading cross-functional data initiatives and managing teams or vendor partners.

• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.

• Excellent ability to build partnerships and work collaboratively

• Ability to present data and initiatives to a diverse set of audiences