Associate Team Lead - Enterprise Data Management

Job Description Business Title Associate Team Lead - Enterprise Data Management Global Department Enterprise Data Management (EDM) Reporting to Functional Lead Role Purpose Statement Responsible for validation, data cleansing and maintenance, and reinforce use of business rules and standards via SAP MDG.
Accountable for driving accuracy, improvements across all geographic regions and Bunge s businesses. Has broad responsibility for driving alignment across multiple business functional areas to define & execute project scope and deliverables.
This role is viewed as a Data Custodian - Process expert in the master data management domain for Material, Customer, supplier (any two data types is mandatory). He will be required to collaborate with a multiple Bunge stakeholder spread across the globe from Business, IT and others stakeholder in order to define and achieve a mutually agreed outcome in the master data domains for both Material and Finance data. Main Accountabilities Experience in executing and driving Data Quality programs
Experience with Data Dictionaries and Metadata management.
Data validation and reinforce Region compliance to business rules and standards
Data Enrichment, data cleansing and maintenance
Provide first-level support, training, and communication to Region stakeholders, Data Requestors and Data Approvers Knowledge and Skills Behavior Improve Bunges outcomes by making data-driven decisions, keeping the customer at the forefront of all they do, and proactively gaining insight into the global strategy.
Collaborate, effectively communicate with others and take initiative to continually develop themselves.
Pursue opportunities to solve problems and take action while maintaining the ability to manage work, even in times of challenge or change. Technical Technical knowledge of SAP master data tables, fields, SAP MDG
Knowledge of Data Management processes across all the key data types, business rules and how Master Data affects transactional processing
Knowledge of Business process and related business process metrics Education & Experience Education:-
Mechanical / Electrical Engineer / B.Tech / Certified in SAP Material Management
Experience:-
- Minimum 4-5 years of professional data management experience managing Master Data Management processes
- Minimum 3 years of working experience in SAP MDG or SAP MDM
- Experience in working directly with business clients
- Able to work in a virtual team which may work across distance (remote), cultures and time zones

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they re grown to where they re needed-in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

- We Are One Team - Collaborative, Respectful, Inclusive
- We Lead The Way - Agile, Empowered, Innovative
- We Do What s Right - Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day - people who are #ProudtoBeBunge

Job Segment: Data Management, ERP, SAP, Manager, Electrical Engineering, Data, Technology, Management, Engineering