Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

How you will contribute

You will:

Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvementsIdentify and incubate best-in-class external partners to drive delivery on projectsWork on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performanceSupport the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructureBuild a professional and reliable teamRun the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

Ability to influence the business agenda and make recommendations to senior leadersLeadership experience in best-in-class analytics practice rolesLeadership experience deploying new analytical approaches in a complex and highly matrixed organizationSavvy in usage of analytics techniques to create business impactsProven people leadership experience

You will use a mix of technical skill and business acumen to help Mondelez’ Legal Affairs organization build data and analytics products. The products you drive will serve decision makers at the highest levels by improving our measurement and insight using Mondelez’ data. You’ll also improve our existing products and architecture for efficiency, performance, and scalability. As the appetite for data and insight is growing withing Mondelez, your contribution will foster the delivery of timely, relevant, and accurate insight to teams that need it. Your skills and experience will connect business leaders to data and analytics solutions throughout Mondelez.

You will...

Drive the end-to-end delivery of data-driven products within the Mondelez following established product management practicesDevelop and lead product roadmaps in partnership with stakeholders, product, and engineering teams that execute on analytics vision and strategyAdvocate for and carefully manage product and project funding including budgeting, headcount needs, and other costsIdentify opportunities for efficiency, automation, resilience, and innovation in Mondelez’ data landscapeOwn the creation and management of product communication including: go to market materials such as product decks, how-to guides and newsletter articlesBridge conversations between business stakeholders and development teams using knowledge of both Mondelez business domain and technical expertisePrioritize development items according to deadlines, business context, and technical needThink strategically and connect stakeholders use cases to technology solutions while thinking holistically about the end-to-end experienceDeeply understand stakeholder needs, product analytics, and industry innovation to drive the product vision and strategy, maximizing business and customer impact.

You will bring...

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

TECHNICAL EXPERTISE in data and analytics – including data warehousing, managing and analyzing data, SQL, critical thinking and basic understanding of Machine LearningBUSINESS ACUMEN and working knowledge of relevant business areas (HR, Legal, Government Affairs, and Finance)LEADERSHIP SKILLS including a natural ability to make things happen around you while managing project ambiguity, complexity and interdependencies in an organized and structured wayGROWTH/DIGITAL MINDSET and the ability to identify/execute opportunities and leverage technology to improve operational efficiency and effectivenessCLOUD EXPERIENCE with data solutions (AWS, Azure, Google Cloud), and technologies like Spark, and data lakes, which are often used for large-scale data processing. Experience with financial systems specifically SAP, SAC and Hyperion tools is valuableDESIGN and data visualization experience with Tableau or Power BIINTEGRITY and sound judgement in all decisions and interactions aligned with our values and policies and external regulations.

Required Experience:

8+ years of progressive leadership experience in a data and analytics function4 + years of product ownership or leadership in the development of data and analytical products.

Preferred Experience:

Management consulting a plus

Education/Certifications:

Bachelor's degree or equivalent experience

Travel requirements:

Limited travel up to 20%

No Relocation support available

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad 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 globally and locally 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 top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people 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.

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.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science