Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

Responsible for NA Supply Chain data management and governance, including architecture, technical design and end-to-end solution enabling data analytics.

You will lead a team data engineers and data architect focused on investigating, analyzing and scoping data requirements to support the development of data integration, data retrieval and reusable data sets.Partner with technical/functional teams to understand business goals and initiatives and formulate plans to achieve desired outcomes.Support MSC data requirements to help implement enterprise data hub ; understanding data assets and the relationships among them, investigate, analyze and scope data requirements to support the development.Act as the liaison for digital transformation projects and business units needing direction with digital data transformation.Understand advanced methods of data acquisition for multiple types of data sources.Have cross-functional understanding to create reusable data assetsUnderstand details of data structures and associated componentsContinuously evaluate and identify opportunities for process improvement and optimization in implementation methodologies, tools, and frameworks.Monitor current and future trends in technology which will positively affect organizational decisions

Key Responsibilities

Partner with business stakeholders to enable and enhance the enterprise data hub strategy and execute the data & analytics agenda.Support technical/functional teams to implement enterprise data hub.Manages, governs and leads development and implementation of interim data solution and coordinates CI activates to optimize.Develop and implement best practices for data discovery, ingestion, storage, automation/retrieval and develop reusable data products and drive adoption.Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what data enablement will deliver.Manage existing technical solutions. Execute specific tasks and deliverables as outlined in tactical plans.Prioritizes and recommends initiatives to improve and build upon the data architecture to support the business.Day-to-day operations and the actual implementation of tasks and activities.Coach and mentor team members on best practices.Manage individual or team performance to meet operational objectives.Troubleshoot issues and ensure processes run smoothly.

What extra ingredients you will bring:

Data Platforms, Data Ingestion Tools, Development Tools, Programming Languages, Data Exploration VisualizationCI/CD, DevOps, DataOpsKnowledge of tools like Azure, GCP, TDV, Power BI, Alteryx, SSMS, etc.SAP ECC/BW, SAP eWM, S4 HANA a plusTechnical DocumentationCollibra knowledge and CDMP Certification a plus

Education / Certifications:

Bachelor’s degree in a related fieldBS or MS in Analytics Preferred

Job specific requirements:

-7+ years leading Technical teams

-3+ years in Supply Chain and Sales

-3+ years of Project Management experience

Travel requirements:

Less than 25%

Work schedule:

This is a remote position and can be based anywhere in the United States

Salary

This position is at a salary range between $133,900 and $200,900.

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