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Associate Manager

United States, Purchase, New York 169541.00 - 189000.00 USD / Year · Job Posted February 16, 2026
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Job Description

Lead development and ongoing enhancement of PepsiCo’s Marketing Mix Modeling (MMM) data product by defining product roadmaps, conducting discovery sessions, and managing delivery across cross-functional teams. Manage the Sales Based Outcomes data product, ensuring it aligns with PepsiCo’s media investment strategy and supports actionable insights for ROI optimization. Managed Development as a Product owner & now oversee implementation and advancement of the PepsiCo Media Data Hub (MDH), leveraging cleanroom technologies, Analytics tool Databricks, BI’s Power BI, Tableau, and SQL for real-time data access and media performance analysis. Collaborate with stakeholders across Data Engineering, Data Scientists, and Business Insights to gather business requirements, define features, and ensure alignment with enterprise data strategy. Apply Agile methodologies to lead end-to-end product lifecycle management, including backlog grooming, sprint planning, and feature release coordination using tools like JIRA, Azure DevOps, and Snowflake. Ensure data integrity and interoperability across 40+ internal and external media sources, enabling unified performance tracking and dashboard reporting. Translate complex data needs into scalable product solutions that enhance campaign decision-making, measurement accuracy, and media planning efficiency. Provide leadership across global, cross-functional teams and foster collaboration to drive innovation and delivery of high-impact data products in a consumer goods context.

Job Responsibility

  • Lead development and ongoing enhancement of PepsiCo’s Marketing Mix Modeling (MMM) data product by defining product roadmaps, conducting discovery sessions, and managing delivery across cross-functional teams
  • Manage the Sales Based Outcomes data product, ensuring it aligns with PepsiCo’s media investment strategy and supports actionable insights for ROI optimization
  • Oversee implementation and advancement of the PepsiCo Media Data Hub (MDH), leveraging cleanroom technologies, Analytics tool Databricks, BI’s Power BI, Tableau, and SQL for real-time data access and media performance analysis
  • Collaborate with stakeholders across Data Engineering, Data Scientists, and Business Insights to gather business requirements, define features, and ensure alignment with enterprise data strategy
  • Apply Agile methodologies to lead end-to-end product lifecycle management, including backlog grooming, sprint planning, and feature release coordination using tools like JIRA, Azure DevOps, and Snowflake
  • Ensure data integrity and interoperability across 40+ internal and external media sources, enabling unified performance tracking and dashboard reporting
  • Translate complex data needs into scalable product solutions that enhance campaign decision-making, measurement accuracy, and media planning efficiency
  • Provide leadership across global, cross-functional teams and foster collaboration to drive innovation and delivery of high-impact data products in a consumer goods context

Requirements

  • Master's degree (US or Foreign Equivalent) in Information Systems, Technical Project or Product Management
  • 4 years of experience in technology, technical project or product management
  • 4 years' experience managing end-to-end data product lifecycle, creating Requirements, and planning and prioritizing features using JIRA and Azure DevOps
  • 3 years' experience working with data engineers on ETL and API integrations using Snowflake and writing SQL to support advanced analytics/modeling
  • 2 years' experience collaborating with Data Science, Engineering, and Governance to write and manage user stories in Azure DevOps
  • Certified & experienced to build interactive dashboards in Power BI or Tableau for tracking metrics
  • Leading Agile Scrum ceremonies and backlog grooming for faster data product delivery
  • Advanced Analytics Platforms (Databricks, Snowflake, SQL) and Knowledge of data architecture, modeling, and engineering concepts
  • Familiarity with Azure tech stack
  • 1 year's experience implementing cleanroom tech (Habu, AWS or InfoSum) for First-Party data collaboration

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