Data Manager (Data Governance)
New
C
CI&TFinancial data governance
Listing location: Brazil; Workplace type: RemoteFull-TimeManager
Salary not disclosed
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Job Details
- Languages
- Fluent English (C1)
- Required Skills
- Snowflake
Requirements
- Bring solid experience in data security and privacy governance roles on enterprise data platforms.
- Have hands-on experience implementing governance policies, not policy writing alone.
- Have hands-on experience implementing data classification, dynamic masking, and row-access or row-level security on Snowflake.
- Have experience designing or contributing to column-level lineage across multi-layer data pipelines.
- Have working knowledge of data privacy and access-governance practices in financial, accounting, FP&A, or mortgage environments.
- Be comfortable leading classification and masking design during a design-validation phase.
- Be fluent in English at C1 level for direct stakeholder engagement and gate reviews.
- Nice to have: experience with Microsoft Fabric/OneLake governance boundaries alongside Snowflake.
- Nice to have: familiarity with limiting AI-assisted development tools to metadata or aggregate access, excluding raw sensitive values.
Responsibilities
- Lead sensitive-data classification across source-system tables and dimension values.
- Design dynamic data masking and row-access policies for sensitive financial fields, scoped by role and business unit.
- Define raw-versus-curated access tiering and a least-privilege access model across the data platform.
- Design auditable column-level lineage from source through platform layers, the semantic model, and consuming reports.
- Support master data management efforts to standardize business metrics across the platform.
- Deliver platform-neutral governance artifacts, including implemented policy objects or tags and versioned classification and lineage documentation.
- Partner with client Security, Privacy, and Compliance teams to secure design approval and resolve network or identity boundary questions affecting sensitive data.
- Support integration of classification and lineage artifacts into the client's enterprise catalog and governance tools.
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