Senior Data Security Analyst

AI Data Security 

• Lead the design and implementation of AI runtime security controls for internal and external monitoring.  

• Design and integrate AI gateway controls for model oversight and policy enforcement.  

• Configure, administer, and optimize enterprise AI security platforms.  

• Assess and implement AI connectors, APIs, and integrations required for AI visibility and monitoring.  

• Operationalize AI governance workflows, security guardrails, and compliance controls. 

Data Security & Risk Management 

• Lead data classification and data discovery initiatives. 

• Perform risk assessments to identify and reduce data security risks. 

• Design, implement, and maintain data protection controls. 

• Evaluate applications and systems for security gaps and recommend improvements. 

• Lead remediation activities for identified security risks and vulnerabilities. 

• Monitor and improve the effectiveness of data security controls. 

 Security Strategy & Compliance 

• Develop and maintain data security standards, procedures, and best practices. 

• Support compliance efforts related to GDPR, HIPAA, SOX, CCPA, PCI-DSS, and other regulatory requirements. 

• Participate in the development of security policies, standards, and guidelines. 

• Stay current on emerging threats, technologies, and industry best practices. 

Security Operations 

• Monitor security tools and technologies to ensure effective operation. 

• Review security alerts, logs, and reports to identify potential threats. 

• Support investigations of security incidents and suspicious activity. 

• Maintain security configurations and security control baselines. 

• Recommend and implement enhancements to existing security solutions. 

Reporting & Leadership 

• Develop security metrics, dashboards, and executive-level reporting. 

• Present risk findings, recommendations, and project updates to leadership. 

• Lead or support enterprise-wide security projects and initiatives. 

• Mentor junior analysts and provide technical guidance. 

Collaboration & Stakeholder Engagement 

• Partner with Cybersecurity, IT, Legal, Privacy, Data Governance, Internal Audit, and business teams. 

• Build strong relationships across the organization to support security objectives. 

• Communicate security requirements, risks, and best practices to stakeholders. 

• Support compliance with applicable laws, regulations, and company policies. 

Education & Experience

Required:

• Bachelor’s degree (or foreign equivalent) in a Computer Science, Computer Engineering, or Information Technology field of study (e.g., Information Technology, Electronics and Instrumentation Engineering, Computer Systems Management, Mathematics) or equivalent experience. 

• 5+ years of Cybersecurity, IT, or business-related experience. 

• 3+ years of experience with data protection, data engineering/infrastructure, data governance, or data loss prevention. 

• Fundamental knowledge of NIST CSF Framework and associated Data Protection concepts. 

• Demonstrated skill in leading cross functional projects with business and IT stakeholders. 

• Must be eighteen years or older                                                                                                                                                                                                                                  
• Must be legally authorized to work in the United States without company sponsorship

Preferred 

• 1+ years of designing or supporting AI platforms, projects, or initiatives. 

• Experience working with IT Audit, Compliance, or Information Security. 

• Experience working with DSPM and other security technologies (Ex: DLP, EDR, Cloud, SIEM, etc.) 

• Working knowledge of information security concepts related to Data Protection methodologies. 

• Experience evaluating cyber risks or threats.