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
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
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
Manage HCP (Healthcare Professional) and Account MDM systems to ensure accurate, complete, and unified customer profiles
Drive data quality monitoring, alerting, and remediation processes
Oversee governance practices including metadata management, access control, and data lineage
Create clear specifications and Functional Impact Assessments (FIAs) for onboarding new data sources
Advance the vision of enabling self-service for commercial business functions by increasing access to trusted data and insights

Requirements

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
8+ years of experience in data management, data modeling and operations preferably in a life sciences company
5+ years working with 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)
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

Benefits

company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives (eligibility may vary based on role)
paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata modelingdata governancedata quality managementdata ingestiondata transformationdata deliverydata pipelinesMDMdata stewardship

Soft Skills

communicationstakeholder managementcollaborationpartnership buildingpresentation skills