Manager - Vaccines Data Product Engineering

Role Overview: You will be the Manager, Vx Data Product Engineering in the Global Commercial Analytics team at Pfizer. Your primary responsibility will be to own and manage key Data Products essential to the success of Vaccines Data Strategy. You will collaborate with key stakeholders to pioneer unrivaled data, analytics, and AI that redefine best-in-class practices and advance access to life-saving vaccines. Key Responsibilities: - Engineer and maintain portions of the U.S. Commercial Vx data asset ecosystem to ensure data operations are maintained with data quality, integrity, and availability for over 500 U.S. Vx commercial data users. - Maintain and enhance existing Vx specific foundational capabilities like APS model, RSV split model, Public/Private split model, Central Purchasing model, and Manufacturer Loyalty model. - Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high-quality Vx specific business data assets. - Manage U.S. Commercial Vx customer backbone or Business Account Construct (BAC) to ensure uniform customer data definition across the commercial organization. - Partner with key teams to identify new Vx specific business data assets to support strategic priorities of U.S. Vaccines. - Pioneer new capabilities using Gen AI and other advancements in the AI space for lightspeed decision-making across the U.S. Commercial Vx BU. Qualifications Required: - BA required, MS preferred, relevant fields include 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, preferably 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 the ability to translate business needs and analytical approaches into data asset design. - Proficient in data engineering code (SQL, Python, scripting, etc.), File storage (S3), GitHub for code management, Organization, Communication, Collaboration, and Documentation. - Ability to train/teach others. Additional Company Details: Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review Pfizer's candidate AI-use guidelines available on Pfizer Careers. (Note: Marketing and Market Research Experience Level is Mid Level) Role Overview: You will be the Manager, Vx Data Product Engineering in the Global Commercial Analytics team at Pfizer. Your primary responsibility will be to own and manage key Data Products essential to the success of Vaccines Data Strategy. You will collaborate with key stakeholders to pioneer unrivaled data, analytics, and AI that redefine best-in-class practices and advance access to life-saving vaccines. Key Responsibilities: - Engineer and maintain portions of the U.S. Commercial Vx data asset ecosystem to ensure data operations are maintained with data quality, integrity, and availability for over 500 U.S. Vx commercial data users. - Maintain and enhance existing Vx specific foundational capabilities like APS model, RSV split model, Public/Private split model, Central Purchasing model, and Manufacturer Loyalty model. - Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high-quality Vx specific business data assets. - Manage U.S. Commercial Vx customer backbone or Business Account Construct (BAC) to ensure uniform customer data definition across the commercial organization. - Partner with key teams to identify new Vx specific business data assets to support strategic priorities of U.S. Vaccines. - Pioneer new capabilities using Gen AI and other advancements in the AI space for lightspeed decision-making across the U.S. Commercial Vx BU. Qualifications Required: - BA required, MS preferred, relevant fields include 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, preferably 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 the ability to translate business needs and analytical approaches into data asset design. - Proficient in data engineering code (SQL, Python, scripting, etc.), File storage (S3), GitHub for code management, Organization, Communication, Collaboration