Consultant, Data Management and Governance

Consultant, Data Management and Governance Join to apply for the

Consultant, Data Management and Governance

role at

Cargill

The Consultant, 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.

Key Accountabilities

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.

DATA OPERATIONS & STEWARDSHIP: Implements operational improvements to reduce data quality defects, improve efficiency and speed while maintaining compliance to regulations and policies.

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.

DATA CONVERSION: Taking ownership of master data and support the data extraction, construction, cleansing and validation process for the data cutover activities during the SAP deployment.

Ensure the data quality is meeting the global data standard as well as meeting the business process design requirement and pass thru the data load into the system without failure.

Support data and process improvement efforts, including the identification, re-design, and implementation of opportunities identified utilizing data from audits and metrics.

Monitor overall data quality and integrity and execute cleansing efforts when defects are found.

Partner with business function and IT to ensure compliance with data conversion processes and procedures.

Handle data issues and problems/defects under direct supervision from IT/BA.

Qualifications

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Seniority level Entry level

Employment type Full-time

Job function Information Technology

Industries Chemical Manufacturing, Food and Beverage Services, and Food and Beverage Manufacturing

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