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Sr Manager, Pharma Commercial Data Management

Job in Santa Monica, Los Angeles County, California, 90403, USA
Listing for: Kite Pharma
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Sr Manager, Pharma Commercial Data Management

Join to apply for the Sr Manager, Pharma Commercial Data Management role at Kite Pharma
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We’re here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We’ve made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet. Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows.

Job Description

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 translate business needs into functional data requirements, partner with IT to deliver robust data infrastructure, and ensure 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 Dev Ops 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 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; 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.
  • 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…
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