Data Governance Specialist

We are looking for a Data Governance Specialist, who will be responsible for developing and implementing a data governance framework that ensures quality, consistency, security, and compliance throughout the lifecycle of corporate data. He/She will act as a link between technical and business areas, promoting good practices through policies, tools, and training programs.

Main Responsibilities

• Development and implementation of policies and standards to create, document, and apply policies, standards, processes, and procedures for governing corporate data.
• Data quality management and classification, identifying, classifying, and establishing quality standards for data assets. Conduct monitoring and establish quality metrics.
• Data dictionary management, glossaries, metadata, and traceability to ensure transparency and governability.
• Implementing access controls, security policies, ensuring compliance with regulations such as GDPR or similar.
• Captaining teams, disseminating good practices, and acting as a liaison between technical and business areas.
• Supervising the effectiveness of the program, reporting metrics, and proposing improvements in governance processes.
• Aiding in selecting the stack to automate, enable, and federate data governance.

Requirements

1. Intermediate-Advanced level of technical English (B1-B2).
2. Between 1 and 5 years in roles related to data governance, quality management or similar. Experience with specific tools is desirable.
3. Mastery of data policies, quality, metadata, traceability, security, privacy, and applicable regulations.
4. Effective communication, interfunctional collaboration, project management, and analytical capacity.
5. Familiarity with data catalogs (e.g., Collibra), software for quality or metadata management.
6. Experience in implementing data governance plans and norms such as GDPR, HIPAA, CCPA, Right to Know, etc.

Plus / Desirable

• Knowledge of SQL databases (PostgreSQL, SQL Server) and NoSQL (MongoDB, Redis).
• Experience with data engineering processes (ETL/ELT)
• Use of orchestration tools (Airflow, N8N, etc)
• Certifications in privacy or governance: CIPM, CIPP, CIPT or AIGP (launched by IAPP in 2024).
• Familiarity with norms such as GDPR, HIPAA, CCPA or others relevant to the sector.
• Knowledge of AI Governance. Understanding of ethical governance of AI, inclusion of AI in policies and traceability of models.
• Participation in defining roles, organizational structure, and roadmaps for governance.