Product Manager, Data & Analytics

Mondelēz International

Product Manager within the Data & Analytics team at Mondelēz responsible for leading AI-enabled Revenue Growth Management initiatives. Overseeing technical functionality and collaborating with cross-functional teams.

Posted 6/2/2026full-timeRemote • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $97,300 - $133,815 per yearWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

contribute to developing a cutting-edge Revenue Growth Management solution with enhanced AI capabilities
play an instrumental part in owning the technical functionalities of initiatives, leading data engineers, front end developers and collaborating with architects
oversee the team as they work towards the objectives of building/evolving tool and processes for data accuracy, robustness, and reliability
develop/scale new capabilities through reusable data products in reporting for Trade Promotional Management and Event Analytics
create seamless user experience supported by automated dashboards tailored to different audiences/power users across multiple business functions
define and execute continuous improvement mindset on dashboards and data models based on insights from testing and user feedback
implement new RGM solution across our customer base to maximize joined growth
build tech-enabled AI products that enhance key RGM levers and provide new capabilities to the commercial organization

Requirements

What you’ll need

Bachelor’s degree in information systems/technology, Business Analytics, or a related field
5+ years of work experience in Data Analytics required
Strong understanding of the software development lifecycle and experience working closely with data engineering & reporting development teams
Experience in promotion and trade planning (Trade Promotion Management (TPM) data is a big plus
3+ years of Product Development experience (acting as Product Owner) or 3+ years working in CPG RGM (Promotion, Pricing, PPA, trade management)
Experience with Google Cloud (GCP)
Strong technical proficiency/quantitative background delivering data and analytics projects
Highly proficient in Excel and PowerPoint
Experience with version control systems (e.g., Git) and CI/CD pipelines
Familiarity with agile methodologies (e.g., ceremonies, writing user stories)

Benefits

Comp & perks

health insurance
wellness and family support programs
life and disability insurance
retirement savings plans
paid leave programs
education related programs
paid holidays and vacation time

ATS Keywords

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Hard Skills & Tools

data analyticsdata engineeringreporting developmentproduct developmentdata productsAI capabilitiesdata modelsdata accuracydata robustnessdata reliability

Soft Skills

leadershipcollaborationcontinuous improvementuser feedback integrationproblem-solvingcommunicationteam oversightuser experience designadaptabilitycritical thinking