Product Manager, Data & Analytics

Mondelēz International is seeking a Product Manager for their Data & Analytics team to lead the development of a Revenue Growth Management solution. The role involves overseeing technical functionalities, collaborating with data engineers and stakeholders, and driving continuous improvement in data products and user experiences.

Responsibilities:

• Build/evolve tool and processes to ensure accuracy, robustness, and reliability of data in our solutions
• 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 our commercial organization
• Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals
• Utilize market and industry knowledge to translate user needs into functional requirements, user stories, acceptance criteria, and requirements for their team. Maintain a prioritized backlog, staying multiple sprints ahead of the team
• Define critical metrics that determine the success of your products and develop a deep understanding of your product’s performance
• Validate the weekly progress of the technical teams and lead business user tests, ensuring product quality before the product gets into the hands of the internal customer
• Set detailed planning per initiative and help resolve any arising bottlenecks
• Lead iterative testing phases of the RGM solution, incorporating feedback and ensuring continuous learning for solution enhancement

Requirements:

• 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)
• Able to thrive in uncertainty and comfortable with a high degree of ownership and bias for action
• 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)
• Experience delivering transformational projects with solid change management requirements
• Working knowledge of syndicated data (Nielsen/IRI or other EPOS/Retail Sales data source)
• Passion for technology and wanting to stay updated with industry trends and emerging technologies
• Knowledge of SQL and programming languages (e.g., Python)
• Knowledge of Tableau and Power BI
• Knowledge of AI/data principles (e.g., ML algorithm selection, data architecture principles, familiarity with cloud technologies, etc.)
• Master's degree or higher in a relevant field, such as Data Science, Artificial Intelligence, or Machine Learning
• Experience in setting up and monitoring AI models in production
• Familiarity with privacy regulations and best practices in data management, especially in the context of AI solutions