AI Governance Analyst, Mid-Level

Leega

. Assist in creating and updating guidelines for the ethical, secure, and transparent use of AI algorithms and models .

Posted 10/19/2026full-timeBelo Horizonte • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data compliance, technology risk management, and ethical Artificial Intelligence frameworks, with a strong understanding of Brazil’s General Data Protection Law (LGPD) and AI governance principles. Proficient in SQL and familiar with data catalogs and lineage tools to support responsible AI practices.

Highest-signal resume keywords

Data ComplianceTechnology Risk ManagementEthical Artificial Intelligence FrameworksSQL ProficiencyUnderstanding of LGPD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ComplianceAlgorithmic Impact AssessmentsData ProtectionData LineageMachine Learning ArchitecturesAI Governance FrameworksDAMA-DMBOK PrinciplesRisk Assessment

Soft Skills

Analytical SkillsCommunication Skills

Tools & Technologies

CollibraAlationAzure PurviewDatabricks Unity Catalog

Industry Keywords

Brazil’s General Data Protection LawNIST AI Risk Management FrameworkEU AI ActResponsible-Use PoliciesAlgorithmic Bias

Tech Stack

Tools & technologies

AzurePythonSQLUnity

About the role

Key responsibilities & impact

Assist in creating and updating guidelines for the ethical, secure, and transparent use of AI algorithms and models
Conduct data protection and algorithmic impact assessments (DPIAs / AIAs) to identify potential bias or security vulnerabilities
Maintain the organization’s catalog of AI models and automated systems, including users, data used, purpose, and risk level
Monitor compliance with internal and regulatory requirements in collaboration with Legal, Information Security, and Data teams
Support awareness initiatives for product and development teams on governance best practices
Contribute to data compliance, technology risk management, and ethical Artificial Intelligence frameworks

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Statistics, Digital Law, Business Administration with a focus on technology, or a related field
Understanding of Brazil’s General Data Protection Law (LGPD)
Familiarity with AI Governance frameworks and principles, such as the NIST AI Risk Management Framework (AI RMF) and the EU AI Act
Knowledge of DAMA-DMBOK principles and data lifecycle management
Experience with data catalogs and data lineage tools, such as Collibra, Alation, Azure Purview, or Databricks Unity Catalog
Proficiency in SQL
Basic knowledge of Python for data analysis and model auditing
Basic understanding of Machine Learning architectures, LLMs, and Generative AI, including the risks of hallucinations, data leakage, and bias
Intermediate to advanced English proficiency for reading documentation and international standards
Solid experience in data compliance, technology risk management, and ethical Artificial Intelligence frameworks
Track record of developing responsible-use policies, mapping algorithmic bias, documenting data lineage, and aligning practices with the LGPD and international AI guidelines
Strong analytical skills and the ability to translate regulatory requirements for multidisciplinary engineering and business teams

Benefits

Comp & perks

Ongoing professional development
An environment and culture grounded in ethics and transparency, excellence, teamwork, accountability, and respect for people