Senior Data Governance & AI Analytics Consultant

Software Mind; Rosario; Remoto; ARS 3.000.000 - 5.500.000; Tempo pieno

Descrizione del lavoro

Cargill is seeking a Senior Consultant for Data Management and Governance in Rosario, Argentina. You will ensure data accuracy, security and effective use across the organization with minimal supervision, developing and governing policies to comply with regulations while enhancing data value.

Responsibilities include strategic planning, standards, quality audits, governance policy development, and data lifecycle management to drive maturity and risk reduction across data domains.

Competenze

• Minimum requirement of 4 years of relevant work experience; typically 5+ years.

Mansioni

• STRATEGIC PLANNING: Develops and aligns data governance strategies with organizational goals.
• DATA STORAGE, INTEGRATION & CONSUMPTION: Defines standards for data storage and use across raw and insight formats.
• DATA STANDARDS: Documents and enforces detailed data standards across domains.
• DATA QUALITY: Sets data quality standards and conducts audits to ensure compliance.
• POLICY DEVELOPMENT & GOVERNANCE: Leads development of governance policies and operational alignment.
• DATA OPERATIONS & STEWARDSHIP: Improves data quality and efficiency while ensuring regulatory adherence.
• DATA LIFECYCLE MANAGEMENT: Manages data from initiation to decommissioning with compliance.
• COMPLIANCE & RISK MANAGEMENT: Implements governance processes to mitigate risk and comply with laws.
• DATA LITERACY & TRAINING: Builds training programs to improve data policy understanding.
• DATA MODELING: Guides data models and relationships for clarity.

Conoscenze

Data governance

Data management

Policy development

Compliance & risk

Data quality

Stakeholder management

Descrizione del lavoro

Cargill is seeking a Senior Consultant for Data Management and Governance in Rosario, Argentina. You will ensure data accuracy, security and effective use across the organization with minimal supervision, developing and governing policies to comply with regulations while enhancing data value.

Responsibilities include strategic planning, standards, quality audits, governance policy development, and data lifecycle management to drive maturity and risk reduction across data domains.