Analista de Governança de Dados Pleno

Accountabilities:

• • Create, review, and implement data and AI governance policies, standards, procedures, and guidelines, ensuring they support business objectives and responsible data use.
  • Monitor privacy and data protection regulations, including LGPD and GDPR, and incorporate relevant requirements into governance practices and organizational processes.
  • Establish and maintain practices covering data protection, privacy, security, and appropriate responses to governance or security violations.
  • Conduct periodic governance audits and assessments, identify gaps, and develop or coordinate action plans to address deficiencies.
  • Prepare governance reports, track key indicators, and define roadmaps for continuous improvement of data and AI governance capabilities.
  • Coordinate governance committees and working groups, ensuring alignment between stakeholders on policies, standards, responsibilities, and priorities.
  • Develop and deliver training and guidance to employees on data governance, privacy, responsible AI, and appropriate data usage.
  • Collaborate with architecture, software development, legal, compliance, cybersecurity, and other business teams to embed governance throughout the data lifecycle.
  • Manage data lifecycle practices, ensuring data integrity, appropriate retention, and alignment with organizational strategy.
  • Establish data domains and maintain accurate data catalogs, metadata dictionaries, and related governance documentation.
  • Assess and organize the analytics ecosystem, defining standards for data retention, deletion, disposal, and sanitization.
  • Establish processes for data acquisition, validation, standardization, and quality management from source through consumption.
  • Monitor data quality through defined metrics, business rules, indicators, and quality certifications or controls.
  • Define and maintain data governance roles and responsibilities, including Data Owners and Data Stewards.
  • Promote a culture of accountability and responsible use of data and AI across the organization.

  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 the ability to use data and metrics to support governance decisions.
  • Strong analytical and problem-solving skills, with the ability to address complex issues, make informed decisions, and manage multiple priorities.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams.
  • Ability to work independently while maintaining strong alignment with stakeholders and governance objectives.
  • Experience working in complex data environments or organizations with significant regulatory, compliance, or data-management requirements is advantageous.
  • Certifications such as CDMP, DCAM, or other relevant data governance and compliance credentials are desirable.
  • Experience with responsible AI, algorithmic risk, or AI governance is a plus.

  Benefits:

  • Competitive, market-aligned compensation.
  • Comprehensive health insurance.
  • Dental insurance.
  • Private pension plan.
  • Flexible benefits designed to accommodate individual needs.
  • Meal and food assistance.
  • Financial counseling and support.
  • Employee benefits and discounts club.
  • Home-office allowance.
  • Mobility allowance.
  • Childcare assistance.
  • Life insurance.
  • Extended leave policies.
  • Sports, wellness, and quality-of-life incentives.
  • Payroll-deducted loans with reduced rates.
  • Fully remote work model with flexibility and autonomy.
  • Inclusive and collaborative work environment with opportunities for professional growth and development.
  • The role is also open to people with disabilities, with reasonable accommodations available throughout the recruitment and employment process.