Senior Data Governance & Management Analyst

Alignerr Corp.; Rosario; Remote; ARS 1,000,000 - 1,800,000; Full time

Job summary

Cargill is seeking a Senior Consultant, Data Management and Governance to ensure accuracy, security and effective use of complex data across the organization. You will develop and govern policies, standards and practices to meet regulatory requirements while enhancing data value.

You will lead strategic planning, data storage and integration standards, and drive data quality audits. Collaboration across domains will be essential to improve processes and ensure governance across the data

Qualifications

• Minimum 4 years of relevant work experience.
• Typically 5+ years of relevant experience.

Responsibilities

• Strategic planning: develop data governance strategies aligned with goals.
• Data storage, integration & consumption: define standards for storage, transit and use; assess business risk of non‑compliance.
• Data standards: document and govern detailed data standards across domains.
• Data quality: set quality metrics and audits; drive improvements across organization.
• Policy development & governance: lead governance policy alignment.
• Data operations & stewardship: improve data quality and compliance.
• Data lifecycle management: manage data from initiation to decommissioning.
• Compliance & risk management: implement governance controls to mitigate risk.
• Data literacy & training: develop programs to raise data literacy and accountability.
• Data modeling: inform visualization of data relationships.

Skills

Data governance

Data management

Data standards

Data quality

Policy development

Compliance

Data operations

Data lifecycle

Data modeling

Training & literacy

Job description

Cargill is seeking a Senior Consultant, Data Management and Governance to ensure accuracy, security and effective use of complex data across the organization. You will develop and govern policies, standards and practices to meet regulatory requirements while enhancing data value.

You will lead strategic planning, data storage and integration standards, and drive data quality audits. Collaboration across domains will be essential to improve processes and ensure governance across the data