Consultant, Data Management & Governance - Ag & Trading

cargill•Shorewood, MN

About The Position

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.Job Purpose and Impact The Professional, Data Management & Governance job 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. In this role, you’ll work with SAP S/4HANA to manage and improve our key master data domains — from customers and vendors to materials, plants, and more. You’ll collaborate with cross‑functional teams, strengthen data governance practices, and ensure the data powering our operations is clean, consistent, and trusted.

Requirements

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
SAP S/4HANA Master Data Expertise Deep knowledge of master data structures and processes across Vendor, Customer, Material, BP, and Plant objects within S/4HANA (including creation, changes, validations, and governance workflows).
Master Data Governance & Process Discipline Strong understanding of governance frameworks, data ownership/stewardship, approval flows, standards, controls, and the ability to enforce and improve consistent data processes.
Data Quality Management Hands‑on ability to profile, cleanse, enrich, and monitor master data quality using clear rules and KPIs—focusing on accuracy, completeness, consistency, and duplication prevention.
Networking & Cross‑Functional Collaboration Skill in partnering with Operations, Trading, Procurement, Supply Chain, Finance, Commercial, AP/AR, and Shared Services to ensure smooth master data operations, solve issues quickly, and drive alignment across different business areas.
Customer Orientation & Service Mindset Clear, proactive communication with users; ability to educate, guide, and support stakeholders; and a strong focus on improving the experience and outcomes for internal “customers.”

Responsibilities

STRATEGIC PLANNING: Implements and supports the development of data management and governance strategies aligned with organizational goals.
DATA STORAGE, INTEGRATION & CONSUMPTION: Implements and maintains standards for data storage, data in transit and data use in both raw and insight formats.
DATA STANDARDS: Reviews and documents data standards to ensure consistency and quality across all data domains, and that policies are followed.
DATA QUALITY: Helps ensure the accuracy, consistency and reliability of data throughout its lifecycle by handling data quality standards, monitoring data quality metrics and implementing corrective processes while supporting data quality audits as needed to ensure data standards are met. .
POLICY DEVELOPMENT & GOVERNANCE: Implements data governance policies that help maintain data integrity ensuring data practices align with organizational goals, and frameworks that define how data is collected, stored, processed and shared.
DATA OPERATIONS & STEWARDSHIP: Implements operational improvements to reduce data quality defects, improve efficiency and speed while maintaining compliance to regulations and policies.
DATA LIFECYCLE MANAGEMENT: Handles moderately complex data from initiation to decommissioning through the lifecycle to ensure compliance with policies and regulations.
COMPLIANCE & RISK MANAGEMENT: Helps develop and implements data governance, risk and compliance processes and controls to support continuous improvement, mitigate risk and align with applicable laws and regulations.
DATA LITERACY & TRAINING: Deploys training programs to improve organizational literacy, compliance to data standards and policies and increased understanding of accountability for data responsibilities.
TECHNOLOGY: Implements, deploys, sustains solutions or improvements to data management and governance technologies to advance data practices for improved compliance, efficiency and value.