Data Product Management Principal

PepsiCo•Plano, TX

5h•Hybrid

About The Position

PepsiCo, Inc. is seeking a Data Product Management Principal to define and manage data product roadmaps and requirements using Agile and SAFe methodologies. This role involves collaborating with global data teams, data engineers, data scientists, and business stakeholders to ensure data products meet evolving business needs and drive insights. The position requires proficiency in data analysis, visualization, and leading cross-functional teams to deliver enterprise-scale data, analytics, and AI solutions.

Requirements

Bachelor’s degree (US or Foreign Equivalent) in Industrial Engineering, Systems Engineering, or Computer Science and three (3) years of experience in data-focused roles within the consumer-packaged goods retail industry OR Master's degree (US or Foreign Equivalent) in Business Administration or Computer Science and one (1) year of experience in data-focused roles within the consumer-packaged goods retail industry.
Three (3) years of experience (or 1 with master’s) with: Defining and managing data product requirements and roadmap using Agile and SAFe methodologies; proficient in Agile tools such as Azure DevOps, Jira, etc.; and Effective communicator with experience presenting complex data solutions to executive stakeholders.
Two (2) years of experience (or 1 with master’s) with: Translating business problems into technical requirements; Delivering enterprise-scale data, analytics, and AI solutions in the CPG and retail sectors; Familiar with data platforms and tools such as Azure, Databricks, SAP, Salesforce, etc.; and Leading big data solutions/advanced analytics or product management.
One (1) year of experience with: Leading global cross-functional data teams to deliver data and analytics solutions aligned with business needs; SQL, Python, Power BI, and Tableau for data analysis, visualization, and insight generation; and Strong understanding of data management, governance, and modeling principles to ensure end-to-end data optimization and delivery.

Responsibilities

Define and manage data product roadmaps and requirements using Agile and SAFe methodologies.
Conduct backlog refinement and PI planning sessions with global data teams to prioritize work, align on product objectives, and identify potential risks or dependencies.
Create user stories, product roadmaps and technical requirements based on ongoing business needs.
Use SQL or Python to extract sample data and analyze the structure of datasets.
Review and analyze existing and newly requested products, dashboards and applications (e.g., Power BI, Tableau) to identify opportunities for improvement and ensure they meet the evolving needs of business teams.
Collaborate with data engineers to ensure data pipelines and ingestion processes meet business requirements.
Work with data stewards to ensure data quality and compliance with company policies.
Collaborate with data scientists to support advanced analytics and develop models that drive business insights.
Prepare presentations for weekly leadership meetings, summarizing project status and insights.
Facilitate cross-team workshops to align data solution strategies and business priorities.
Monitor key performance indicators (KPIs) related to data product usage and effectiveness.
Engage with business stakeholders to gather feedback and drive product adoption.