Job Description

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, Business, or a related field (Master’s degree is a plus).
• 5 or more years of experience in product management with a focus on data and analytics
• Strong understanding of data management, analytics tools, and platforms (e.g., SQL, Python, Power BI, Tableau)
• Experience with data governance, privacy regulations, and compliance (e.g., GDPR, CCPA)
• Excellent communication, leadership, and project management skills
• Ability to translate business requirements into technical specifications
• Strong problem-solving skills and a data-driven mindset
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is preferred
• Familiarity with Agile/Scrum methodologies is preferred
• Knowledge of machine learning and AI applications is preferred
• Role will be a hybrid working schedule
  The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
  In addition, Mondelez International offers the following 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. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
  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 Patch Kids 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.
  For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
  Job Type
  Regular
  Analytics & Modelling
  Analytics & Data Science
  Job Details

• Product Strategy and Vision: Define and communicate the product vision, roadmap, and growth opportunities for data and analytics initiatives.
• Stakeholder Management: Collaborate with internal teams, clients, and business leaders to gather requirements, prioritize features, and ensure alignment with business goals.
• Data Product Development: Oversee the design, development, and launch of data and analytics products, including dashboards, reporting tools, and data models.
• Data Strategy Implementation: Ensure that data strategies and products are aligned with the company’s broader data governance and compliance policies.
• Project Management: Manage the product lifecycle from ideation to launch, ensuring that timelines, budgets, and quality standards are met.
• Performance Measurement: Set product performance metrics and use data insights to continuously improve product offerings and drive user engagement.
• Cross-functional Collaboration: Work closely with data engineers, data scientists, and analysts to ensure the accuracy, reliability, and scalability of data solutions.
• Market Research: Stay updated on industry trends, competitive products, and new technologies in the data and analytics space to drive product innovation.