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.
• Prior SW experience preferred