Pfizer

Senior Associate, Vx Data Product Engineering

Pfizer

full-time

Posted on:

Location Type: Hybrid

Location: Chennai • 🇮🇳 India

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Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Own and manage key Data Products essential to Vaccines Data Strategy (BAC, CORE Data Assets, Foundational Models, Incentive Compensation)
  • Engineer and maintain portions of the U.S. Commercial Vaccines data asset ecosystem ensuring data quality, integrity, and availability for 500+ users
  • Maintain and enhance Vx foundational capabilities (APS model, RSV split, Public/Private split, Central Purchasing, Manufacturer Loyalty, Abrsyvo Split)
  • Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high-quality Vx business data assets
  • Manage U.S. Commercial Vx customer backbone/Business Account Construct (BAC) to ensure uniformly defined customer data across the commercial organization
  • Partner with DSM, PAI, Digital, Master Data Management and third-party vendors to identify and implement new Vx business data assets
  • Pioneer new capabilities using Gen AI and other AI advancements to accelerate decision making across U.S. Commercial Vx BU

Requirements

  • BA required, MS preferred, relevant fields include operations research, data science, statistics or computer programming
  • 3+ years (BA) or 1+ 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 ability to translate business needs into data asset design
  • Proficient in data engineering code (SQL, Python, scripting)
  • Experience with file storage (S3)
  • GitHub for code management
  • Organization, Communication, Collaboration, Documentation skills
  • Ability to train/teach others
  • Preferred: Experience building scalable data product solutions across brands/therapeutic areas
  • Preferred: Experience partnering with Digital/IT to implement production-level data products
  • Preferred: Experience with Agile methodologies and data product management frameworks
  • Preferred: Experience working with third-party data vendors
  • Preferred: Gen AI (e.g. LLMs) knowledge
Benefits
  • Hybrid work arrangement

ATS Keywords

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

Hard skills
data strategydata managementcommercial analyticsdata integrationdata model designanalytic data engineeringSQLPythonscriptingGen AI
Soft skills
analytical skillscommunication skillscollaborationdocumentation skillstrainingteaching
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