Job Information
Mondelez International Sr Director, Business Analytics in East Hanover, United States
Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
The Mondelēz Insights and Analytics Team and Culture
We are a high-performing, collaborative team who bring the voice of the consumer and shopper into our business and make a tangible business impact. We are developing cutting edge data, analytics and AI tools that give a significant competitive advantage. We foster a supportive team atmosphere to amplify individual strengths and curiosity. We value a diversity of talent, experiences, and backgrounds to expand our team culture.
Location: East Hanover, NJ (Hybrid).
Profile Summary
The Sr. Director Business Analytics is a leadership position. It heads the critical business intelligence, automation, product development and data science functions. The Sr. Director will be responsible for creating and managing the vision of the function and create the roadmap to deliver business value across the business. She/he will lead the charge in transforming data into actionable insights that drive data driven decision-making across the company and develop / manage products that predict and analyze business performance and leverage advanced analytics and AI to come up with potential solutions. This leader will partner with other commercial leaders from Marketing, Sales, Category Management, and E-commerce to understand their goals and develop solutions for them through automation, forecasting and predictive analytics. This pivotal role aims to elevate our forecasting accuracy, streamline reporting, innovate product development, and capitalize on data science initiatives to deliver tangible business value.
Key responsibilities:
Build a Strategic Forecasting Capability
Innovate and manage sophisticated forecasting models to support strategic decision-making across categories and brands.
Foster partnerships with key stakeholders to enhance consumption forecasting accuracy using advanced statistical methods.
Drive forecasting excellence through the adoption of cutting-edge techniques, including probabilistic modeling and simulation.
Build Automation Products that help drive business
Design, develop, and maintain state-of-the-art BI dashboards that empower stakeholders with real-time, actionable insights.
Oversee the automation of reporting workflows to ensure efficient and accurate dissemination of business intelligence.
Oversee development of products that drive business value like competitive analysis, business drivers, early warning systems
Lead executive reviews by looking at data holistically and delivering compelling data narratives and strategic recommendations.
Propensity Modeling: Predict granular pockets of growth (e.g., geographies, demographic/psychographic groups) and prioritize based on segment size, propensity to purchase our brands, and ability to reach audiences
Product Development and Innovation
Lead the creation of predictive analytics products that redefine market intelligence and competitive strategy.
Champion the development and testing of new product forecasting tools and analytical models to anticipate market trends.
Pilot cutting-edge projects, from concept to MVP, that showcase real-time analytics and business impact.
Lead Learning Agendas in line with business requirements. These involve test & Learns, Pilots, A/B testing, etc.
Advanced Analytics and Data Science
Leverage machine learning, AI, and other advanced analytical techniques to transform data into a strategic asset.
Conduct pioneering research in social analytics, customer behavior modeling, and market analysis to uncover growth opportunities. Use both structured and unstructured data.
Collaborate with the Insights and Analytics team to continuously advance our analytical prowess and business acumen.
Introduce new tools in AI and GenAI, applied to busiess cases.
What extra ingredients you will bring:
15+ years of experience, and a proven track record in business analytics, predictive forecasting and data-driven product development management. Demonstrated experience in building and scaling data analytics capabilities within a CPG company.
Bachelor's or Master's degree in Business Analytics, Data Science, Statistics, or a related field.
Technical Expertise: Proficiency in data modeling, analysis, and visualization tools. Expertise in BI tools (e.g., Tableau, Power BI), data visualization, SQL, Python/R, and machine learning frameworks.
Strong leadership abilities with the ability to influence and inspire teams across the organization.
Proven experience in driving change and building consensus among stakeholders.
Ability to think strategically and translate business needs into data-driven solutions.
Strong problem-solving skills and a passion for leveraging data to drive innovation and business growth.
Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders
Comfortable evangelizing the value of data analytics and fostering a data-driven culture.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands – both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez 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.