Data and Analytics Product Owner

Business Unit Head Office - East Hanover, USA, United States

Mondelēz International

Mondelēz International, Inc. (NASDAQ: MDLZ) is one of the world’s largest snacks companies, empowering people to snack right in over 150 countries.

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Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

In this role, you will have the opportunity to contribute to developing cutting-edge Revenue Growth Management solutions 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.

What This Team and Role Does:

  • This 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.

What you will bring:

  • 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.

More about this role

    Job specific requirements:

    • 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.

    Good to Have Skills & Experiences:

    • Experience delivering transformational projects with solid change management requirements.

    • 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.

    • Working knowledge of syndicated data (Nielsen/IRI or other EPOS/Retail Sales data 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.

    Education / Certifications:

    • Bachelor's degree or higher in a relevant field, such as Data Science, Artificial Intelligence, or Machine Learning.

    Location: East Hanover, NJ Headquarters

    • Schedule: Hybrid work, requiring 1-2 days in office

    Compensation:

    The base salary range for this position is $106,300 to $146,200; 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, we produce 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
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    Tags: Architecture Data management Machine Learning Privacy Python SQL Testing

    Perks/benefits: Career development Competitive pay Health care Insurance Relocation support Salary bonus Startup environment Transparency Wellness

    Region: North America
    Country: United States

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