Data Governance Analyst, Senior

Jobtailor; Curitiba; Presencial; BRL 100 440 - 167 400; Tempo integral

Resumo da oferta

Jobtailor seeks a data governance professional to help implement AI and data governance guidelines across the organization in Curitiba. You will design and maintain governance practices for AI, analytics, and digital transformation initiatives, ensuring data quality, integrity, and traceability.

You'll map data assets, metadata, and data dictionaries, support AI projects with representative data, and collaborate with security, compliance and business teams to uphold LGPD and regulatory

Qualificações

• Bachelor's degree in a relevant field.
• Proven knowledge of Data Governance.
• Understanding of data modeling concepts (conceptual, logical, physical).
• Experience with data lifecycle, metadata and data quality.
• Proficient in relational databases and SQL.
• Knowledge of LGPD, privacy and compliance.
• Ability to define governance standards, processes and controls.
• Strong communication with technical and business stakeholders.
• Analytical, systemic mindset and continuous improvement.
• Experience with AI/Analytics data governance for AI/ML projects.
• Familiarity with DAMA-DMBOK, DCAM or COBIT frameworks.
• Experience with data catalogs and governance tools.
• Knowledge of Data Warehouse / Data Lake / Lakehouse architectures.
• Experience with data quality indicators and metrics.
• Knowledge of AI governance and Responsible AI.
• Experience in digital transformation and BI environments.
• Knowledge of data integration and consolidation.
• Experience with auditing, internal controls or data risk management.
• Knowledge of cloud environments and modern data platforms.

Responsabilidades

• Support the AI Governance Management in implementing institutional guidelines related to data governance for AI.
• Design and maintain data governance practices focused on AI, analytics and digital transformation initiatives.
• Continuously monitor data quality, consistency, integrity and traceability.
• Map, catalog and document data assets, metadata and data dictionaries, plus data models.
• Support AI projects by ensuring data adequacy, quality and representativeness.
• Identify and analyze risks related to bias, sensitivity and improper data use.
• Assist in classifying data according to privacy and regulatory requirements.
• Define standards and guidelines for the data lifecycle, storage and usage.
• Monitor data quality, compliance and governance indicators for institutional data.
• Collaborate with business areas, technology, information security, compliance and AI teams.

Conhecimentos

Data governance

Data modeling

Data lifecycle

Metadata management

Data quality

SQL

LGPD compliance

Responsible AI

AI governance

Frameworks DAMA-DCAM-COBIT

Data catalog tools

Data Warehouse / Lake / Lakehouse

Cloud platforms

Data integration

Data risk management

Auditing / controls

Digital transformation

BI environments

Formação académica

Bachelor's degree

Ferramentas

SQL

Data catalog tools

Cloud platforms

Data warehouse technologies

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 adequacy, quality and representativeness of the data used.
• Identify and analyze risks related to bias, sensitivity and improper use of data.
• Support processes for classifying data 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.
• Collaborate 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 the 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 the handling of sensitive data.
• Critical thinking to evaluate data quality and reliability.
• Ability to define governance standards, processes and controls.
• Good communication with technical and business stakeholders.
• Analytical, systemic mindset and a continuous improvement orientation.
• Experience with data governance for AI, analytics or machine learning projects.
• Knowledge of frameworks such as DAMA-DMBOK, DCAM or COBIT.
• Experience with data catalog and governance tools.
• Knowledge of Data Warehouse, Data Lake or Lakehouse architectures.
• Experience with data quality indicators and metrics.
• Knowledge of AI governance and Responsible AI.
• Experience in digital transformation and Business Intelligence environments.
• Knowledge of data integration and consolidation.
• Experience with auditing, internal controls or data risk management.
• Knowledge of cloud environments and modern data platforms.