Senior Product Manager, Data Products

Pfizer Pfizer · Pharma · New York, NY

Lead the global expansion of Pfizer's commercial data products, focusing on enabling AI-powered marketing workflows for personalized HCP and patient experiences. This role involves driving product strategy, identifying market requirements, defining and scaling AI-enabled workflows for audience creation and activation, managing trade-offs, and partnering with engineering and data science teams to define product requirements and integration patterns. The goal is to drive adoption of AI-powered capabilities to improve marketing effectiveness.

What you'd actually do

  1. Drive product strategy and execution for global expansion of data products across international markets.
  2. Partner with regional and market teams to identify local requirements, prioritize use cases, and drive successful adoption of enterprise platforms and workflows.
  3. Define and scale AI-enabled marketing workflows supporting audience creation, segmentation, and activation across CRM and Media channels.
  4. Manage trade-offs between global platform standardization and market-specific customization, ensuring solutions remain scalable, reusable, and maintainable.
  5. Partner with Engineering, Data Science, and Data Architecture teams to define product requirements, workflow specifications, APIs, decision logic, and integration patterns.

Skills

Required

  • Product management experience
  • enterprise data
  • ad tech
  • marketing technology
  • international markets
  • global product rollouts
  • data models
  • APIs
  • workflow orchestration
  • integration architectures
  • system dependencies
  • architectural trade-offs
  • defining detailed product requirements
  • workflow specifications
  • business rules
  • acceptance criteria
  • spec-driven development environments
  • technical and business audiences

Nice to have

  • AI-powered marketing tech-stack
  • agentic workflows
  • intelligent data orchestration systems
  • AI-assisted tools
  • data analysis
  • prototyping
  • workflow design
  • technical specification development
  • Salesforce Data Cloud
  • Snowflake
  • AWS
  • Computer Science
  • Engineering
  • Information Systems
  • Data Science

What the JD emphasized

  • AI/ ML workflows