Senior Data Product Analyst – Governance, Data Mesh

• Support the evolution of the VoC platform’s data governance model.
• Serve as an integration point between business, architecture, governance, and data engineering teams.
• Support the definition and maintenance of Data Contracts.
• Contribute to defining and monitoring quality, availability, and data product consumption metrics.
• Collaborate on the ownership, classification, and cataloging of data assets.
• Use Atlan to query, catalog, and disseminate data knowledge.
• Participate in Agile ceremonies and planning activities with product and technology teams.
• Support the development and evolution of data products based on Data Mesh concepts.
• Ensure alignment between business requirements and technical deliverables.
• Monitor initiatives related to Brazil’s General Data Protection Law (LGPD), sensitive data, and governance best practices.
• Support the documentation of processes, workflows, and responsibilities related to data assets.

• Experience in Data Governance, Data Management, or Data Products.
• Knowledge of Data Mesh and data product concepts.
• Experience with data catalogs and metadata management.
• Experience with Atlan or similar Data Catalog tools.
• Knowledge of modern data architecture and cloud environments.
• Experience with Agile methodologies.
• Knowledge of data quality and governance processes.
• Ability to collaborate with business stakeholders and technical teams.
• Knowledge of AWS.
• Knowledge of Python.
• Knowledge of GitHub.
• Knowledge of Agile processes.
• Knowledge of SAFe 4.5.
• Knowledge of Data Contracts.
• Knowledge of Data Lineage.
• Knowledge of Brazil’s General Data Protection Law (LGPD).
• Knowledge of Data Quality.
• Knowledge of Data Lake / Lakehouse architectures.
• Preferred: experience with Customer Analytics or Voice of the Customer (VoC) initiatives.
• Preferred: experience in large enterprise environments.
• Preferred: knowledge of the Bronze, Silver, and Gold layers in data platforms.
• Preferred: experience working with Data Engineering and Analytics.

• Remote work
• Professional development and growth opportunities in AI, generative AI, and other advanced technologies
• Proprietary and third-party AI-powered tools
• Borderless talent environment and knowledge-sharing opportunities
• Position also open to people with disabilities (PwD)