**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 improvements + Identify and incubate best-in-class external partners to drive delivery on projects + Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance + Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure + Build a professional and reliable team + Run 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 leaders + Leadership experience in best-in-class analytics practice roles + Leadership experience deploying new analytical approaches in a complex and highly matrixed organization + Savvy in usage of analytics techniques to create business impacts + Proven 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 practices + Develop and lead product roadmaps in partnership with stakeholders, product, and engineering teams that execute on analytics vision and strategy + Advocate for and carefully manage product and project funding including budgeting, headcount needs, and other costs + Identify opportunities for efficiency, automation, resilience, and innovation in Mondelez’ data landscape + Own the creation and management of product communication including: go to market materials such as product decks, how-to guides and newsletter articles + Bridge conversations between business stakeholders and development teams using knowledge of both Mondelez business domain and technical expertise + Prioritize development items according to deadlines, business context, and technical need + Think strategically and connect stakeholders use cases to technology solutions while thinking holistically about the end-to-end experience + Deeply 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 Learning + **BUSINESS 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 way + **GROWTH/DIGITAL MINDSET** and the ability to identify/execute opportunities and leverage technology to improve operational efficiency and effectiveness + **CLOUD 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 valuable + **DESIGN** and data visualization experience with Tableau or Power BI + **INTEGRITY** 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 function + 4 + 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 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.