OneTrust Data Discovery Specialist / Lead

• *Key Responsibilities**

• *1\. Data Discovery and Scanning**

• Onboard and configure structured SQL Server databases and unstructured data repositories in OneTrust Data Discovery.
• Configure worker nodes, credentials, scan profiles, and classification profiles.
• Design and execute Catalog and Data scans using approved inclusion and exclusion rules.
• Plan pilot scans and wave\-based scanning activities.
• Monitor worker\-node health, scan throughput, failures, and SQL Server performance.
• Troubleshoot connectivity, authentication, permission, and scan\-job issues with DBA, network, and infrastructure teams.

• *2\. Data Classification and Tuning**

• Identify and configure suitable system classifiers and classification profiles based on the client's sensitive\-data taxonomy.
• Design, configure, and test custom classifiers for organization\-specific identifiers.
• Analyze false positives and false negatives and improve classification accuracy.
• Fine\-tune regex patterns, dictionaries, column context, and confidence thresholds.
• Perform regression testing before promoting classifier changes.
• Manage targeted rescans following approved changes.

• *3\. Findings Analysis and Curation**

• Analyze and summarize scan findings by database, table, column, classifier, and risk.
• Conduct curation sessions with data owners and data stewards.
• Review and approve or reject findings and recommended data terms.
• Maintain curation evidence and update Data Map assets and inventories.
• Prepare operational and executive reports covering scan coverage, findings, classifier quality, and project progress.

• *4\. Credential Integration and Automation**

• Coordinate with CyberArk teams to onboard source credentials into CyberArk Conjur.
• Configure OneTrust worker\-node integration with Conjur.
• Create OneTrust credential references manually or through APIs.
• Develop and maintain Python scripts for bulk credential and data\-source onboarding using OneTrust APIs.
• Implement validation, reconciliation, and error handling.
• Ensure automation scripts never handle or expose secret values.

• *5\. Governance and Delivery**

• Follow change\-management, security, and data\-protection controls.
• Maintain runbooks, RAID logs, test evidence, and handover documentation.
• Support recurring scans, findings curation, classifier maintenance, and incident resolution.
• Explore AI\-assisted automation for findings curation and classification\-gap detection under human oversight.
• Coordinate with privacy, security, DBA, and data governance stakeholders.

• *Required Skills**

• *Primary Skills:**

• OneTrust Data Discovery
• OneTrust Data Mapping and Discovery Review
• Data Classification and Custom Classifier Configuration

• *Secondary Skills:**

• Microsoft SQL Server
• Structured and unstructured data discovery
• Regex, dictionaries, and column matching
• False\-positive and false\-negative analysis
• CyberArk Conjur or enterprise secret vaults
• OneTrust REST APIs
• Python scripting and automation
• Data privacy and governance
• GDPR, PIPEDA, and Quebec Law 25
• Stakeholder management and audit documentation

• *Required Experience**

• 4\+ years of hands\-on experience with OneTrust Data Discovery.
• Experience configuring worker nodes, data sources, credentials, scan profiles, and classification profiles.
• Experience with Discovery Review and Data Mapping.
• Proven experience scanning structured databases, preferably Microsoft SQL Server, and unstructured repositories.
• Strong understanding of data classification and custom classifier design.
• Working knowledge of CyberArk Conjur or similar enterprise secret vaults.
• Experience with OneTrust REST APIs and Python scripting.
• Good knowledge of SQL Server schemas, permissions, least\-privilege access, and performance considerations.
• Understanding of privacy regulations, particularly PIPEDA, Quebec Law 25, and GDPR principles.
• Experience conducting review and curation workshops with business and technical teams.
• Experience in regulated industries such as banking, financial services, or insurance is preferred.

• *Preferred Qualifications**

• OneTrust certifications in Data Discovery, Data Mapping Automation, Privacy Rights Automation, or AI Governance.
• Exposure to BigID, Microsoft Purview, or Varonis.
• Familiarity with financial\-sector expectations such as OSFI B\-10, B\-13, E\-21, and E\-23\.
• Exposure to AI/GenAI automation, RAG, Power Automate, or Copilot Studio.
• Experience with ServiceNow, Jira, and Agile delivery.

• *Soft Skills**

• Strong analytical and problem\-solving abilities.
• Attention to detail and evidence\-based working approach.
• Ability to explain technical findings in business and privacy terms.
• Strong ownership and documentation skills.
• Effective communication with North American stakeholders.
• Ability to work across time zones.

• *Education**

Bachelor's degree in Computer Science, Information Technology, Information Security, or a related field.

Pay: ₹2,400,000\.00 \- ₹2,880,000\.00 per year

Application Question(s)

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Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka