Global Data Governance Leader

Veralto; Rosario; Remote; ARS 90,873,000 - 136,310,000; Full time

Job summary

Cargill is hiring a Senior Consultant for Data Management and Governance to ensure data accuracy, security and value across the organization. This role develops, implements and governs policies to comply with regulations while maximizing data utility.

With minimal supervision, you will lead strategic planning, standards development, data operations and lifecycle management to drive data maturity and reduce risk across domains.

Qualifications

• Minimum of 4 years of relevant work experience.
• Experience in data governance and data management domains.
• Familiarity with data quality practices and standards.

Responsibilities

• STRATEGIC PLANNING: Develops and maintains data management strategies aligned with goals.
• DATA STORAGE, INTEGRATION & CONSUMPTION: Sets standards for data storage and data use; defines risk.
• DATA STANDARDS: Documents and governs data standards for consistency across domains.
• DATA QUALITY: Ensures accuracy and quality with metrics and audits.
• POLICY DEVELOPMENT & GOVERNANCE: Leads policy development and alignment.
• DATA OPERATIONS & STEWARDSHIP: Improves operations to reduce data quality defects.
• DATA LIFECYCLE MANAGEMENT: Manages data from initiation to decommissioning.
• COMPLIANCE & RISK MANAGEMENT: Develops controls to mitigate risk and stay compliant.
• DATA LITERACY & TRAINING: Builds training to improve data literacy and accountability.
• DATA MODELING: Guides the visual representation of data and its relationships.

Skills

Data governance

Strategic planning

Regulatory compliance

Stakeholder collaboration

Data modeling

Job description

Cargill is hiring a Senior Consultant for Data Management and Governance to ensure data accuracy, security and value across the organization. This role develops, implements and governs policies to comply with regulations while maximizing data utility.

With minimal supervision, you will lead strategic planning, standards development, data operations and lifecycle management to drive data maturity and reduce risk across domains.