Data Product Manager: Guide Global Data & Analytics

PepsiCo; Purchase (NY); On-site; USD 111,000 - 185,000; Full time

Benefits offered by this job

Bonus program

Paid time off

Comprehensive benefits

Job summary

PepsiCo is seeking a Data Product Manager to lead data and analytics for PepsiCo’s Consumer and Commercial data products. You will define roadmaps, capture business and data requirements, and partner with Data Science, Data Engineering, and BI teams to deliver end-to-end data solutions.

You will guide cross-functional PODs, translate analytics to business value, and drive adoption of data solutions that unlock new revenue and improved customer experiences.

Qualifications

• Bachelor’s degree required.
• 8 years of Data Product Management in business-facing functions including agile.
• 3+ years of experience leading/building analytics and big data solutions or enterprise SaaS.
• Strong understanding of machine-learning principles and ML techniques.
• Familiarity with Python, big data stack, and visualization.
• Knowledge of data architecture, modeling, and Azure tech stack.

Responsibilities

• Define the product/data roadmap and capture comprehensive requirements.
• Design the solution with technical teams and capture nuances to ensure end-to-end optimization.
• Author technical data requirements and documents required throughout the delivery life cycle.
• Manage delivery against key technical milestones and ensure business context is understood by technical teams.
• Write and steward user stories in Azure DevOps and guide cross-functional PODs.
• Drive adoption of data solutions and ensure data outputs meet business use cases.

Skills

Data product management

Agile

Leadership

Communication

Machine learning concepts

Python

Big data

Azure

Data governance

Education

Bachelor’s degree

Tools

Azure DevOps

Job description

PepsiCo is seeking a Data Product Manager to lead data and analytics for PepsiCo’s Consumer and Commercial data products. You will define roadmaps, capture business and data requirements, and partner with Data Science, Data Engineering, and BI teams to deliver end-to-end data solutions.

You will guide cross-functional PODs, translate analytics to business value, and drive adoption of data solutions that unlock new revenue and improved customer experiences.