Analista de Governança de Dados e IA Sênior

Jobgether; Brasil; Remote; BRL 180,000 - 280,000; Full time

Benefits offered by this job

Fully remote work arrangement

Comprehensive health insurance

Annual performance bonuses

Stock option plan

Education assistance 70% for undergrad

Job summary

Jobgether (on behalf of a partner company) seeks a Senior Data & AI Governance Analyst in Brazil to lead governance policies, metadata management, and data quality initiatives across the organization. You will work closely with technical teams and business stakeholders to align governance with data and AI strategies and promote data literacy.

You will supervise catalogs, RBAC, privacy governance, and regulatory compliance, including LGPD, BACEN, and data audits, while guiding junior staff and

Qualifications

• Proven experience in data and AI governance, including policies, processes, standards, metadata management, and data cataloging.

Responsibilities

• Execute end-to-end data and AI governance initiatives across the data lifecycle.
• Establish governance frameworks and clarify accountability with Data Owner/Data Steward roles.
• Lead the corporate data catalog using Unity Catalog and OpenMetadata, overseeing metadata, lineage, and glossaries.
• Design RBAC models and access lifecycle processes with collaboration from Data Engineering and IAM teams.
• Develop governance indicators and dashboards for platform KPIs and adoption.

Skills

Data governance

AI governance

Databricks Unity Catalog

SQL

OpenMetadata

Power BI / Metabase

Data quality

RBAC / access control

LGPD compliance

Education

Bachelor's degree in Technology or related field

Tools

Databricks

Unity Catalog

OpenMetadata

Power BI

Metabase

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data & AI Governance Analyst based in Brazil.

Join a multidisciplinary team driving the development and maturity of data and AI governance across an organization. In this senior role, you will establish and evolve policies, processes, standards, and best practices for managing data throughout its lifecycle. You will oversee metadata management, data quality, access controls, privacy, and responsible AI practices, helping ensure that data assets remain secure, reliable, and accessible. Working closely with technical teams and business stakeholders, you will connect governance initiatives with broader data and AI strategies. You will also guide other professionals, promote data literacy, and strengthen self-service analytics capabilities. This is an opportunity to shape governance practices in a collaborative, fast-moving fintech environment.

Accountabilities

• Execute end-to-end data and AI governance initiatives, defining policies, responsibilities, standards, and best practices across the data lifecycle.

• Establish and maintain governance frameworks, including Data Owner and Data Steward roles, to clarify accountability throughout the organization.

• Act as a technical reference for junior and mid-level analysts and Analytics Engineers, guiding governance implementation and promoting consistent practices.

• Lead the corporate data catalog using tools such as Unity Catalog and OpenMetadata, overseeing metadata, data classification, lineage, and business glossaries.

• Drive documentation and adoption of cataloging practices across teams and business areas that consume data.

• Design and implement role-based access control (RBAC) models and access lifecycle processes, standardizing groups in collaboration with Data Engineering and Identity and Access Management teams.

• Establish data quality frameworks, including service-level agreements (SLAs), observability practices, and incident response processes for critical datasets.

• Implement and manage cost governance for the analytical sandbox environment, developing showback models and usage policies with technical stakeholders.

• Lead regulatory and privacy governance initiatives related to BACEN requirements and Brazil's General Data Protection Law (LGPD).

• Support audits by developing regulatory data dictionaries, lineage documentation, and data quality controls in collaboration with relevant teams.

• Define governance standards for predictive AI, including inventories, model cards, and monitoring processes.

• Establish responsible governance practices for generative AI, including AI inventories and usage guidelines, in partnership with technical and Information Security teams.

• Develop governance indicators and dashboards covering platform KPIs, FinOps, and adoption to support leadership decision-making.

• Promote data literacy and secure self-service BI practices in collaboration with People teams and Data squads.

Requirements

The ideal candidate combines strong expertise in data and AI governance with practical knowledge of modern data platforms, security, regulatory requirements, and organizational data management practices.

• Proven experience in data and AI governance, including policies, processes, standards, metadata management, and data cataloging.

• Experience with Databricks and Unity Catalog, or equivalent platforms, covering data assets, metadata, classification, access controls, lineage, and auditing.

• Knowledge of relational and multidimensional data modeling.

• Understanding of Medallion Architecture and its Bronze, Silver, and Gold layers.

• Experience working with Data Lake and Data Lakehouse environments, from ingestion through data consumption, with the ability to identify improvement opportunities.

• Experience designing and implementing data access management models, including RBAC and least-privilege principles.

• Knowledge of Information Security best practices and LGPD requirements throughout the data lifecycle.

• Strong SQL skills for diagnostics, access audits, and automation of governance indicators.

• Experience defining KPIs and building dashboards using tools such as Power BI, Lakeview, or Metabase.

• Applied knowledge of data management frameworks such as DAMA-DMBOK or similar methodologies.

• Understanding of Data Mesh architecture, DataOps/MLOps, and organizational data operating models such as Hub-and-Spoke.

• Practical experience using generative AI and AI agents to automate tasks and improve workflows.

• Bachelor's degree in Technology or a related field.

• Strong communication and collaboration skills, with the ability to work across technical teams and business areas.

The following qualifications are considered an advantage:

• Experience with OpenMetadata for data discovery, exploration, and cataloging.

• Knowledge of Python or PySpark for governance automation.

• Certifications in data management or privacy, such as CDMP/DAMA, DCAM, or IAPP.

• Familiarity with process improvement methodologies such as Lean Six Sigma, particularly for documenting and mapping current-state (AS-IS) processes.

• Experience implementing data governance in regulated environments, including BACEN compliance projects, SOX requirements, or financial-sector audits.

Benefits

• Fully remote work arrangement.

• Full-time employment under a Brazilian CLT contract.

• Eight-hour workday, Monday through Friday.

• Medical and dental insurance with no copayment.

• Life insurance.

• Medication assistance and financial support for physical activities.

• Access to financial wellness support through a dedicated partner.

• Four free monthly therapy or nutritionist sessions through a well-being platform.

• Flexible food allowance through a Visa credit card.

• Free food at the company's headquarters.

• Childcare assistance.

• Parental support program and extended maternity and paternity leave.

• Access to an internal training platform.

• Education assistance covering 70% of eligible undergraduate tuition and language courses, as well as support for purchasing courses and books.

• Home office allowance and work equipment.

• Furniture assistance for remote work.

• Access to coworking spaces throughout Brazil through a partner network.

• Birthday month day off.

• Happy hour allowance.

• Employee referral bonuses.

• Annual performance-based bonuses.

• Stock option plan.

• Casual dress code and collaborative working environment.