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). Open to other locations for exceptional candidates.
Profile Summary
This is a leadership role accountable for enhancing the current spend optimization program for Biscuits, Bars and Confectionary categories and building the media analytics capabilities, including building a measurement and refinement capability for Precision Marketing. The role will primarily focus on building an end to end spend optimization capability in real time and ensuring that all media planning and buying is influenced by this team. This leader will define how marketing performance will be measured, and will evaluate marketing performance against "the bar" of excellence. Will also support the strategy for the first, second and third party data.
Key responsibilities:
Elevate the Spend Optimization Capability & Impact

• Enhance the existing capability for Marketing Mix. Recommend relevant enhancements to the program in line with business needs / requests.
• Identify critical gaps and opportunities, and work with the brand leaders and the consumer experience team, to recommend ways to course-correct and optimize tactics in these 'hot-spots'.
• Measure Digital Attribution for all digital media.
• Evaluate the performance of the overall Advertising and Consumer Promotion investment and recommend changes.

Partner with CX to Build Precision Marketing Capability

• Create Audience Targeting and Segmentation by leveraging multiple data sources, behavior and preferences, including the purchasing history of cohorts.
• Predictive Modeling: Predict future consumer behaviors like purchase intent, potential churn rates, lifetime value etc.
• Drive Personalization, including tailoring communications to meet specific consumer needs / interests
• Customer Journey Mapping: analyze data at various touchpoints across the customer journey & identify patterns on how customers react.

Build Media Analytics

• Lead Learning Agendas in line with business requirements. These involve test & Learns, Pilots, A/B testing, etc.
• Partner with the CX team to effectively build the CRM capability, by adopting best practices and undertake relevant test & learns.
• Support various pilots on AI and GenAI in relation to media analytics.
• 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
• Activate pockets of growth by leveraging a test, learn and scale operating model.
• Media Data Platforms: Single platform that brings together Media, Personalization/ Content, Audience and Measurement
• Evaluate creative quality and drivers to Creative Excellence by category by undertaking agile experimentation and driving hypothesis driven testing.
• Undertake Meta-Analysis of historical data and share key recommendations with the marketing teams and agencies of record.
• Create appropriate metrics and lead development of reporting & analytics products and dashboards.

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.
More about this role
What you need to know about this position:
What extra ingredients you will bring:• 15+ years' experience in Spend Optimization and Media Analytics.• Deep knowledge of Market Mix Modeling, spend optimization and media analytics is essential.• Demonstrates ability to influence cross-functional and upper management to impact decision-making; Willingness to "have an opinion" backed up by insight and analytics and the confidence to influence key stakeholders in meetings and one to one basis.• Outstanding communication skills; Ability to think analytically to understand complex or ambiguous problems or issues and communicate solutions/conclusions clearly and concisely; Data analysis and visualization skills are a must.• Technical market research and analytical expertise and conversant in a range of quantitative and qualitative ad hoc research techniques and syndicated business analyses, including the role of AI and GenAI in insights.• A Bachelor's degree is required; Post-graduate degree or equivalent in Market Research, Social Sciences or Statistics is preferred.
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.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science