Product Manager, Data & Analytics

How You Will Contribute

As a North America Trade Promotion Management Product Owner within the Mondelez Data & Analytics team, you will oversee the team as they work towards the following objectives:

• 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.

• Experience working on teams to design and develop data models with high-quality data flow.
• Passion for using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.
• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.
• Experience leading technical teams and collaborating with stakeholders between business and IT Data & Analytics functions.

• 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.

• 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 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.

The base salary…