Security Operations Officer- Data Security Specialist

Overview

Data Security Architecture & Implementation

• Security Architecture: Design and implement data security controls including DLP, encryption, and data protection mechanisms across structured and unstructured environments.
• Control Enforcement: Ensure consistent enforcement of data classification, encryption, and access controls across databases, endpoints, and cloud platforms.
• Compliance Enablement: Translate PDPPL and national data classification requirements (C0–C4) into enforceable technical controls.

Data Privacy Engineering

• Privacy Controls Implementation: Embed privacy controls (masking, tokenization, anonymization) into applications and data platforms.
• DPIA Execution: Conduct Data Protection Impact Assessments (DPIAs) with a focus on identifying and mitigating technical risks.
• Data Visibility: Implement data discovery, classification, and lineage tooling to track sensitive data flows.
• Data Residency Controls: Enforce data residency and sovereignty requirements across cloud platforms (Azure/GCP).

Ai Data Security

• AI Security Controls: Implement safeguards for Generative AI and LLM usage, including access control, logging, and data leakage prevention.
• Data Sanitization: Apply masking and anonymization techniques to datasets used in AI/ML pipelines.
• Third-Party Risk (Technical): Perform technical security validation of AI vendors, focusing on data handling and model training exposure risks.

It And Ot Data Protection Integration

• Secure Data Transfer: Implement encryption and data filtering controls for data flows between OT and IT/cloud environments.
• Segmentation Controls: Enforce security controls at Industrial DMZ and integration points (e.g., firewalls, proxies, encryption gateways).
• Monitoring & Risk Detection: Support detection of data exposure risks from industrial systems through logging and monitoring solutions.

Data Protection Operations & Cryptography

• Encryption & Key Management: Operate and manage encryption solutions including HSMs and Cloud KMS (BYOK/HYOK).
• Security Tools Operation: Deploy, tune, and operate DLP, Database Activity Monitoring (DAM), and data classification tools (e.g., Microsoft Purview / Azure Information Protection).
• Monitoring & Response: Support incident detection and response related to data leakage, misuse, or unauthorized access.

Experience-

• 8+ years in Information Security, with at least 5 years focused on data security implementation or privacy engineering
• Experience in Critical Infrastructure, Energy, or Government sectors (Qatar regulatory exposure preferred)

Technical Competencies

• Cloud: Hands-on implementation of Azure/GCP data security controls
• Regulations (Applied): Practical implementation of PDPPL, ISO 27001, NIA, NIST CSF
• AI/ML: Understanding of AI data security risks (e.g., OWASP Top 10 for LLMs)
• OT Exposure: Familiarity with Purdue Model and IEC 62443

Certifications

• CISSP or CISM
• CDPSE or CIPP/E
• CCSP or relevant AI security certifications (e.g., AIGP)