Brazil Job Openings

Mondelēz International

Data Governance Lead LA

São Paulo

FULL TIME

October 29, 2024


Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:
  • Work in close partnership with the business leadership team to execute the analytics agenda
  • Identify and incubate best-in-class external partners to drive delivery on strategic projects
  • Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
  • Execute the business analytics program agenda 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 and the following experience and knowledge:
  • Using data analysis to make recommendations to senior leaders
  • Technical experience in roles in best-in-class analytics practices
  • Experience deploying new analytical approaches in a complex and highly matrixed organization
  • Savvy in usage of the analytics techniques to create business impacts

Lead the performance of fit/gap analysis for the designated region vs the Global Data Governance framework and work in close partnership with the local Supply Chain teams and Central Data Governance Program team for adoption. Support Global Mondelez Suppply Chain Data Governance organization with enriching and enhancement of standards, policies, and procedures to assure on-going success of the governance framework within the regional organization.
Promote the Data Governance concept across the Region. Identify, educate and mentor different Data Governance personas (ex. Data Owners, Data Stewards, Data Citizens, Data Custodians) within the function inline with the Data Governance & Stewardship practices.
Support the seamless integration of diverse data sources, ensuring seamless transition from SAP R3 data source to S4/o9 and relevant reporting platforms including definition of scope, data objects and data transformation. Ensure harmonization to Global reporting solutions, simplification of reporting portfolio, accounting for the regional specifics.
Organize and lead sessions to identify and document region-specific critical data elements with close collaboration from business and MDS.
Serves as a consultant on business problems, identifies data needs and formulates data solutions, creates practical development roadmaps, and presents recommendations to stakeholders.
Advanced English required
Great skills of communication

No Relocation support available
Business Unit Summary

Our Latin America region is comprised of four Mondelez International business units: Brazil, México, Southern Cone (which includes Argentina, Uruguay and Paraguay) and WACAM (which includes 12 South American countries and the U.S. territory of Puerto Rico); and one stand-alone market: Venezuela. We have approximately 20,000 passionate employees who put in all their energy, hearts and souls to create, market and sell our global iconic brands and beloved local jewels such as Lacta, Field and Terrabusi among others. We are known for our resilience and good humor and live our purpose with passion and commitment.

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

Temporary (Fixed Term)
Analytics & Modelling
Analytics & Data Science


Job Details
Title
Data Governance Lead LA
Function
Analytics & Data Science
Date
1/28/2024
Job ID
R-122727
Work Schedule
Full time
Job Type
Temporary
Location
Sao Paulo, Brazil
Additional Location(s)
Bogota, Colombia
Curitiba, Brazil
Santa Fé, Mexico
Thames, Argentina

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