Data Manager, Data Governance

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

📋 Description

• Oversee the classification of sensitive data across source-system tables and their associated dimension values.

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

• Establish access tiering between raw and curated data, along with models promoting least-privilege access.

• Create auditable lineage at the column level, tracing data from source through landing, staging, conformed, and curated layers, as well as semantic models and reports.

• Assist in master data management initiatives to standardize critical business metric definitions.

• Produce platform-agnostic governance materials, including policy objects/tags and version-controlled classification and lineage documentation.

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

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

• Facilitate the integration of classification and lineage artifacts into enterprise catalog/governance tools without directly operating those tools.

⛳️ Requirements

• Extensive experience in data security and privacy governance roles within enterprise data platforms, emphasizing hands-on policy implementation rather than just policy writing.

• Proven experience in data classification, dynamic masking, and row-access/row-level security implementation on a contemporary cloud data warehouse, preferably Snowflake.

• Experience in designing or contributing to column-level lineage within multi-layer data pipelines.

• Familiarity with data privacy and access governance practices in regulated industries such as financial services, healthcare, or similar sectors.

• Confident in leading the design of classification and masking during the design-validation phase, where the output directly influences subsequent build phases.

• Proficient in English (C1 level).

• Experience with Microsoft Fabric/OneLake governance boundaries alongside Snowflake is a plus.

• Background in mortgage, lending, or data governance within financial services is advantageous.

• Knowledge of restricting AI-assisted development tools to only access metadata or aggregate data, without exposure to raw sensitive values, is beneficial.

🏝️ Benefits

• Premium Healthcare

• Meal voucher

• Maternity and Parental leaves

• Mobile services subsidy

• Sick pay and Life insurance

• CI&T University

• Colombian Holidays

• Paid Vacations

• Diverse, inclusive, and safe work environment