
Senior Data Governance and AI Analyst
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Brazil.
• Implement comprehensive initiatives under the data and AI governance program.
• Establish policies, define Data Owner and Data Steward roles, set standards, and create governance frameworks throughout the data lifecycle.
• Act as a technical resource by mentoring junior and mid-level analysts and Analytics Engineers.
• Oversee the corporate catalog leveraging Unity Catalog or OpenMetadata, which includes managing metadata, classification, lineage, and glossary.
• Ensure that documentation is maintained and that the catalog is adopted by business teams that consume data.
• Design and execute Role-Based Access Control (RBAC) and manage the access lifecycle in collaboration with Data Engineering and Identity and Access Management teams.
• Create quality frameworks that include Service Level Agreements (SLAs), observability, and incident response for essential datasets.
• Manage cost operations for the analytics sandbox, incorporating a showback model and usage policies.
• Lead initiatives related to regulations and privacy, particularly concerning BACEN and Brazil’s LGPD.
• Assist in audits and develop data dictionaries, lineage, and quality controls for regulatory data.
• Set governance standards for predictive AI and Generative AI, with a focus on inventories, model cards, monitoring, and responsible usage.
• Develop governance metrics and dashboards to aid leadership in decision-making.
• Promote data literacy and ensure secure self-service Business Intelligence (BI) in collaboration with the People team and Data squads.
• Demonstrated experience in data and AI governance, including policies, processes, standards, metadata management, and cataloging.
• Familiarity with Databricks and Unity Catalog or similar platforms.
• Experience in managing assets, metadata, data classification, access controls, lineage, and conducting audits.
• Understanding of relational and multidimensional data modeling and the Medallion Architecture (Bronze/Silver/Gold).
• Hands-on experience in Data Lake/Data Lakehouse environments, from data ingestion to consumption.
• Proven track record in designing and implementing data access management utilizing RBAC and least-privilege models.
• Knowledge of information security and Brazil’s LGPD as it pertains to the data lifecycle.
• Proficient in SQL for diagnostic purposes, access audits, and automation of governance metrics.
• Experience in defining Key Performance Indicators (KPIs) and building dashboards with Power BI, Lakeview, or Metabase.
• Applied knowledge of data management frameworks like DAMA-DMBOK or equivalent.
• Awareness of Data Mesh architecture, DataOps/MLOps, and operational models such as Hub-and-Spoke.
• Practical experience with Generative AI and agents to automate tasks and enhance workflows.
• Bachelor’s degree in Technology or a closely related field.
• Preferred: experience with OpenMetadata.
• Preferred: familiarity with Python or PySpark.
• Preferred: certifications in data management or privacy, such as CDMP/DAMA, DCAM, or IAPP.
• Preferred: understanding of Lean Six Sigma.
• Preferred: experience with data governance in regulated settings, including BACEN, SOX, or financial-sector audits.
• Medical and dental insurance with no co-payment.
• Life insurance.
• Assistance with prescription medications.
• Fitness allowance.
• Four complimentary therapy or nutritionist sessions each month.
• Quick massage available at headquarters.
• Flexible meal allowance provided on a Visa card.
• Free food available at headquarters.
• Childcare allowance.
• Parental support program.
• Extended maternity and paternity leave.
• Access to an in-house training platform.
• Education allowance covering 70% of undergraduate tuition and language courses, as well as other courses and books.
• Home office allowance.
• Provision of work equipment.
• Home-office furniture allowance.
• Partnership with WOBA for access to coworking spaces throughout Brazil.
• Day off during the birthday month.
• Happy hour allowance.
• Referral bonus for introducing new hires.
• Annual performance-based bonus.
• Stock option plan.
• No dress code policy.
Invisible Technologies
Invisible Technologies
Invisible Technologies
Invisible Technologies
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