Senior Data Security Analyst - Data Classification & Governance

Role Summary: We seek an experienced and detail-oriented Staff Data Security Analyst to contribute to our strategic Data Classification and Governance Program. In this role, you will be instrumental in the operational execution of our data governance strategy. You will work hands-on with data discovery and classification tools, apply data protection policies, and collaborate extensively with cross-functional teams, including Business Technology (BT), Legal, Data & Insights (D&I), and other Security teams. Your focus will be on implementing and maintaining the data classification framework, supporting the rollout of technical controls, and ensuring that our data handling practices align with our security and compliance objectives.

Key Responsibilities:

• Data Classification & Labeling:
• Actively participate in data discovery initiatives to identify and inventory sensitive data (PII, SPI, financial, IP, AI training data) across key enterprise systems (e.g., Google Workspace, Salesforce, Workday, NetSuite, Snowflake).
• Assist in executing pilot programs for data classification on high-priority systems and contribute to refining classification processes.
• Policy Operationalization & Control Support:
• Assist data Stewards and system owners in implementing the data classification policy and data handling standards to support their operationalization.
• Collaborate with BT and Security engineering teams to test and validate the implementation of technical controls (e.g., DLP rules, CASB configurations) based on data classification.
• Help define and test controls related to sensitive data input into enabled AI tools.
• Tooling & Process Support:
• Become proficient in using selected data discovery, classification, and governance tools (potential tools include Varonis, native Google/Snowflake capabilities).
• Assist with the configuration, including helping to set up scans and reviewing results.
• Contribute to developing and maintaining documentation for classification procedures and tool usage.
• Collaboration & Stakeholder Engagement:
• Work closely with Data Stewards (from D&I and business units) to understand data context, validate classification results, and ensure alignment with business needs.
• Partner with BT application owners to facilitate classification efforts and implement necessary data handling changes.
• Support Security GRC by providing data and insights for risk assessments and compliance reporting related to data classification.
• Monitoring, Reporting & Continuous Improvement:
• Assist in establishing and tracking key metrics for data classification coverage, accuracy, and the effectiveness of associated controls.
• Contribute to developing dashboards and reports for program stakeholders and the Data Governance Council.

Required Qualifications & Skills:

• Bachelor's degree in Information Security, Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 7+ years of experience in data security, governance, IT risk management, or a similar analytical role focusing on data protection.
• Strong, demonstrable understanding of data classification principles, methodologies, data lifecycle management, and data handling best practices.
• Hands-on experience with data discovery and/or data classification tools and technologies.
• Solid understanding of data protection concepts and technologies (e.g., DLP, data masking, tokenization, encryption, IAM).
• Knowledge of key data privacy regulations (e.g., CCPA, GDPR) and their impact on data handling.
• Excellent analytical, problem-solving, and critical-thinking skills with meticulous attention to detail.
• Proven ability to work effectively in a cross-functional team environment and manage multiple tasks.
• Strong written and verbal communication skills, with the ability to articulate technical concepts to varied audiences.

Preferred Qualifications:

• Experience with specific data governance or classification platforms (e.g., Varonis, OneTrust, Google Cloud DLP, Snowflake Data Classification).
• Experience implementing or operating data security controls in SaaS environments (e.g., Salesforce, Workday, Google Workspace, M365) and cloud platforms (AWS, Azure, GCP).
• Familiarity with security considerations for AI/ML systems and data inputs, including knowledge of AI-native solutions for data labeling and classification.
• Hands-on experience with AI governance principles and frameworks, including implementing controls for responsible AI use.
• Experience in developing and delivering training or awareness materials.
• Relevant industry certifications (e.g., CISM, CISSP, CIPP, CDMP, or tool-specific certifications).

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