Data Process Lead ensures the accuracy, security and effective use of the organization's moderately complex data. With limited supervision, this job supports the development and implements policies, handles data quality and ensures compliance with regulations. This job also helps design data architecture, cultivates data literacy and partners with technology team and business units to support better decision making, operational efficiency and strategic advantage for the organization.
Serve as primary liaison for all data migration activities, from profiling to validation.
Analyze legacy data to identify gaps, enrich datasets, and establish robust data mapping rules aligned with S/4HANA models.
Host and facilitate cross-functional data workshops to clarify requirements, resolve discrepancies, and align stakeholders on data standards.
Maintain comprehensive documentation (mapping templates, workflows) and drive standardization for future operations.
Lead end-to-end data migration, including conversions, validation, and reconciliation to guarantee data integrity.
Partner with business owners, functional teams, and IT to define requirements, mitigate risks, and resolve roadblocks
Minimum 3 years of relevant work experience.
Experience in SAP data migration. (experience in 1 full S/4HANA cycle was added value).
Broad knowledge of SAP modules (e.g., FI/CO, MM,PP, SD, PM) and the underlying business processes to understand data dependencies and requirements.
Intermediate to Advanced Excel, VBA and or other data analysis skills.
Familiarity with DAMA-DMBOK is a plus
Fluency in English and Indonesian for regional collaboration.
Willing to base in Indonesia.
Willing to work on a contract basis.
Cargill is a family company committed to nourishing the world in a safe, responsible and sustainable way. With over 158 years of experience, we sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. Whether it’s making alternative proteins for food manufacturers or helping farmers raise healthier animals with AI, we put as much care into how things are sourced as what we provide. We put people first. We do the right thing—today and for generations to come.
