Product Manager, Data & Analytics
About The Position
In this role, you will have the opportunity to contribute to developing a cutting-edge Revenue Growth Management solution with enhanced AI capabilities. You will play an instrumental part in owning the technical functionalities of initiatives, leading data engineers, front end developers and collaborating with architects to drive the overall RGM solution while collaborating with business teams and stakeholders. Our team is at the forefront of driving AI, data, and analytics across Mondelez. 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.
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).
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
