Data Governance Analyst, Sr.

Jobtailor; Curitiba; Presencial; BRL 90 000 - 180 000; Tempo integral

Resumo da oferta

Jobtailor in Curitiba, Brazil is seeking a Data Governance Specialist to shape data governance for AI and analytics initiatives. You will design, monitor, and maintain data governance practices across data assets, metadata, and data dictionaries, ensuring data quality, privacy, and regulatory compliance.

You will collaborate with business units, technology, information security, and AI teams to ensure data suitability and representativeness for AI projects and transformations.

Qualificações

• Bachelor’s degree in a relevant field.
• Strong knowledge of data governance.
• Understanding of data modeling concepts (conceptual/logical/physical).
• Experience with data lifecycle, metadata, and data quality.
• Knowledge of LGPD, privacy, and handling of sensitive data.
• Ability to communicate with both technical and business stakeholders.
• Experience in data governance for AI, analytics, or ML projects.

Responsabilidades

• Support AI governance by applying institutional data governance guidelines.
• Design and maintain data governance for AI, analytics, and digital initiatives.
• Monitor data quality, consistency, integrity, and traceability.
• Map, catalog, and document data assets, metadata, and data dictionaries.
• Support AI projects ensuring data suitability, quality, and representativeness.
• Identify risks related to bias, data sensitivity, and misuse.
• Assist data classification per privacy and regulatory requirements.
• Define standards for data lifecycle, storage, and usage.
• Monitor governance indicators for institutional data.
• Collaborate with business, tech, security, compliance, and AI teams.

Conhecimentos

Data governance

AI ethics

Stakeholder communication

Analytical thinking

Formação académica

Bachelor’s degree

Ferramentas

SQL

Relational databases

Descrição da oferta de emprego

Responsibilities

• Support the AI Governance Management in implementing institutional guidelines related to data governance for AI.
• Design and maintain data governance practices focused on Artificial Intelligence, Analytics, and digital transformation initiatives.
• Continuously monitor the quality, consistency, integrity, and traceability of institutional data.
• Map, catalog, and document data assets, metadata, and institutional data dictionaries, as well as conceptual, logical, and physical data models.
• Support AI projects by ensuring the suitability, quality, and representativeness of the data used.
• Identify and analyze risks related to bias, data sensitivity, and inappropriate use of data.
• Support data classification processes according to criticality, privacy, and regulatory requirements.
• Define standards and guidelines for the data lifecycle, storage, and usage.
• Monitor indicators of data quality, compliance, and governance for institutional data.
• Work collaboratively with business areas, technology, information security, compliance, and AI teams.

Requirements

• Bachelor’s degree.
• Knowledge of Data Governance.
• Understanding of conceptual, logical, and physical data modeling.
• Knowledge of data lifecycle, metadata, and data quality.
• Knowledge of relational databases and SQL.
• Understanding of AI ethics, data bias, and dataset representativeness.
• Knowledge of LGPD (Brazilian General Data Protection Law), privacy, compliance, and handling of sensitive data.
• Critical thinking skills for evaluating data quality and reliability.
• Ability to define governance standards, processes, and controls.
• Effective communication with technical and business stakeholders.
• Analytical, systemic mindset and oriented toward continuous improvement.
• Experience in data governance for AI, analytics, or machine learning projects.