Manager, Vx Data Product Engineering

• Business Account Construct (BAC)
• CORE Data Assets (e.g. Sales/Shipments, Contracting, Pharmacy, Claims, etc.)
• Vx Foundational Models (e.g. APS, Pub/Pvt Split, Mfr Loyalty, Central Purchasing, Abrsyvo Split)
• Vx Incentive Compensation

• Vx Commercial Data Ecosystem: Engineer and maintain portions of the U.S. Commercial Vx data asset ecosystem to ensure data operations are maintained with data quality, data integrity, and data availability supporting 500+ U.S. Vx commercial data users.
• Vx Foundational Capabilities: Maintain and proactively identify opportunities to enhance existing Vx specific foundational capabilities (e.g. APS model, RSV split model, Public/Private split model, Central Purchasing model, and Manufacturer Loyalty model)
• Performance: Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high quality Vx specific business data assets.
• Customer: Manage U.S. Commercial Vx customer backbone or Business Account Construct (BAC) to ensure customer data is uniformly defined to ensure consistency across the entire commercial organization from HQ analytics to sales pull through.

• Partnership: Partner closely with CMO ISE, CMO Data Science, Vx OE, and Digital teams to identify new Vx specific business data assets to support the short- and long-term strategic priorities of U.S. Vaccines.
• Innovation: Pioneer new capabilities using Gen AI and other advancements in the AI space to enable lightspeed decision making across the U.S. Commercial Vx BU.

• BA required, MS preferred, relevant fields include but are not necessarily limited to operations research, data science, statistics or computer programming
• 4+ years (BA) or 2+ years (MS) of experience in data strategy, data management and/or commercial analytics, ideally in the biopharma or healthcare industry
• Deep understanding of key data types/sources used for vaccines commercial analytics
• Robust knowledge of core data integration and data model design approaches
• Proven experience building analytic data engineering pipelines
• Strong analytical and communication skills with a demonstrated ability to translate business needs and analytical approaches into data asset design
• Key skills
• Proficient in data engineering code (SQL, Python, scripting, etc.)
• File storage (S3)
• GitHub for code management
• Organization, Communication, Collaboration
• Documentation
• Ability to train | teach others

• Experience building scalable data product solutions spanning multiple brands, therapeutic areas and business units, leveraging synergies to maximize efficiency
• Experience in partnering with Digital/IT functions to implement robust, production-level data products
• Experience with Agile methodologies and data product management frameworks
• Experience working with third-party data vendors in staff augmentation and/or project-based models

• Key skills
• Vx Business Knowledge
• Deep understanding of commercial secondary analytics
• Gen AI (e.g. LLMs)
• Strategic Mindset

Pfizer