Data Manager, Data Governance

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take charge of sensitive-data classification, masking, and governance design for a comprehensive Finance data platform modernization.

• Lead the design of classification and masking during the program’s design-validation phase.

• Oversee sensitive-data classification across source-system tables and dimension values.

• Create dynamic data-masking and row-access policies for sensitive financial fields, tailored by role and business unit.

• Establish raw-versus-curated access tiering and least-privilege access models.

• Develop auditable column-level lineage from source through data layers, semantic models, and consuming reports.

• Assist in master data management initiatives to standardize key business metrics.

• Implement policy objects and tags directly within the platform.

• Maintain versioned, documented classification and lineage artifacts in client-controlled repositories.

• Collaborate with client Security, Privacy, and Compliance teams to obtain design approval.

• Address network and identity boundary inquiries related to sensitive data.

• Facilitate the integration of classification and lineage artifacts into the client’s enterprise catalog/governance tools without needing to build or operate that tooling.

⛳️ Requirements

• Extensive experience in data security and privacy governance roles on enterprise data platforms, including practical policy implementation.

• Direct experience with implementing data classification, dynamic masking, and row-access/row-level security on Snowflake.

• Background in designing or contributing to column-level lineage across multi-layer data pipelines.

• Proficient understanding of data privacy and access governance practices with data in financial, accounting, FP&A, or mortgage environments.

• Comfortable leading classification and masking design during the design-validation phase.

• Fluent in English (C1).

• Nice to have: Experience with Microsoft Fabric/OneLake governance boundaries in conjunction with Snowflake.

• Nice to have: Familiarity with restricting AI-assisted development tools to metadata or aggregate access only, avoiding raw sensitive values.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Continuous learning platform (CI&T University).

• Discount club.

• Free online platform dedicated to physical, mental, and overall well-being.

• Pregnancy and responsible parenting course.

• Partnerships with online learning platforms.

• Language learning platform.

• Health and well-being team.

• Inclusion specialists and affinity groups.

• Support and accommodations for individuals with disabilities.