Analista de Governança de Dados Pleno

New
J
JobgetherData & AI Governance
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
AWSSQLHadoopNosqlSparkData management

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Statistics, Business Administration, or a related field.
  • Professional experience with data governance, data management, privacy, compliance, or related disciplines.
  • Practical knowledge of privacy and data protection regulations, particularly LGPD and GDPR.
  • Experience with data governance frameworks such as DAMA-DMBOK, FAIR, DCAM, or comparable methodologies.
  • Knowledge of Big Data technologies such as Hadoop and Spark, as well as SQL and NoSQL databases.
  • Familiarity with ETL tools, data warehouses, and cloud computing platforms, preferably AWS.
  • Knowledge of data visualization tools and ability to use metrics to support governance decisions.
  • Strong analytical and problem-solving skills to address complex issues.
  • Strong communication and interpersonal skills for cross-functional collaboration.
  • Experience in complex data environments with significant regulatory or compliance requirements is advantageous.
  • Certifications such as CDMP, DCAM, or other relevant credentials are desirable.
  • Experience with responsible AI, algorithmic risk, or AI governance is a plus.

Responsibilities

  • Create, review, and implement data and AI governance policies, standards, procedures, and guidelines.
  • Monitor privacy and data protection regulations, including LGPD and GDPR.
  • Conduct periodic governance audits and assessments to identify gaps and develop action plans.
  • Coordinate governance committees and working groups to ensure alignment between stakeholders.
  • Develop and deliver training to employees on data governance, privacy, and responsible AI.
  • Collaborate with architecture, software development, legal, and cybersecurity teams to embed governance throughout the data lifecycle.
  • Manage data lifecycle practices, data integrity, retention, and metadata documentation.
  • Establish processes for data acquisition, validation, and quality management.
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