Manager, Analytics

at  Mondelz International

Job Description

JOB REQUIREMENTS

• Utilize market and industry knowledge to translate user needs into user stories, acceptance criteria, and requirements for their team. Maintain a prioritized backlog, staying multiple sprints ahead of the team.
• Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals.
• 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.
• Integrate usability studies and research into product requirements to enhance user satisfaction and ensure customer-driven design.

GOOD TO HAVE SKILLS AND EXPERIENCES

• Master’s degree or higher in a relevant field, such as Data Science, Artificial Intelligence, or Machine Learning.
• Experience delivering transformational projects with solid change management requirements.
• Certifications in project management, such as PMP or Scrum Master.
• Working knowledge of syndicated data (Nielsen/IRI or other EPOS/Retail Sales data source; Kantar/GFK or another household panel source)
• Knowledge of SQL and programming languages (e.g., Python).
• Familiarity with privacy regulations and best practices in data management, especially in the context of AI solutions.
• Passion for technology and wanting to stay updated with industry trends and emerging technologies.
  No Relocation support available
  Business Unit Summary
  The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour PatchKids confectionery products —are close at hand for our consumers across the country.
  Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
  Job Type
  Regular
  Analytics & Modelling
  Analytics & Data Science
  Job Details

WHAT THIS TEAM AND ROLE DOES

Our team is at the forefront of driving AI, data, and analytics across Mondelez. As a Product Owner within the Mondelez Data & Analytics team, you will oversee the team as they work towards the following objectives:

• Build tech-enabled AI software that enhances key RGM levers and provides automated recommendations.
• Develop simulation and optimization capabilities using AI to determine pricing, product mix, and promotion strategy.
• Implement the new RGM solution across our customer base to maximize joined growth.

MORE ABOUT THIS ROLE

• Bachelor’s degree in Information Systems/Technology, Business Analytics, or a related field.
• 5+ years of Product Development experience (acting as Product Owner) or 3+ years working in CPG RGM (Pricing, promotion, PPA, trade management); having made strategic pricing and promo decisions for brands is preferred.
• Able to thrive in uncertainty and comfortable with a high degree of ownership and bias for action.
• Highly proficient in Excel and PowerPoint.
• Strong understanding of the software development lifecycle and experience working closely with engineering teams.
• Strong technical proficiency/quantitative background delivering data and analytics projects.
• Deep knowledge of AI/data principles (e.g., ML algorithm selection, data architecture principles, familiarity with cloud technologies, etc.).
• Experience in setting up and monitoring AI models in production.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Familiarity with agile methodologies (e.g., ceremonies, writing user stories).