Senior Data Security Engineer

About the Team

At T. Rowe Price, Enterprise Security helps protect the firm, our associates, and our clients by strengthening cyber resilience across the organization. The team partners closely with technology, risk, legal, compliance, and business stakeholders to safeguard sensitive information, support regulatory obligations, and enable the business securely in a dynamic, highly regulated environment.

Role Summary

We are seeking a Senior Data Security Engineer with deep expertise in Data Loss Prevention (DLP) and data protection engineering to join our Enterprise Security team. In this role, you will design, implement, tune, and optimize enterprise DLP controls across email, endpoint, cloud, web, and collaboration platforms. You will help improve detection fidelity, reduce false positives, support regulatory compliance, and strengthen the firm’s data protection and insider risk posture.

This role is ideal for a security engineer who combines strong technical depth with sound judgment, operational discipline, and the ability to translate business and regulatory requirements into effective, scalable controls.

Responsibilities

• Design, implement, and maintain DLP controls across email, endpoint, cloud, web, and collaboration platforms.
• Engineer and tune custom DLP detections using regex, Exact Data Matching (EDM), Indexed Document Matching (IDM), classifiers, and contextual telemetry.
• Own the full DLP policy lifecycle, including policy creation, normalization, testing, deployment, tuning, version control, and change management.
• Analyze and triage DLP and insider risk alerts, conduct root cause analysis, and recommend mitigation strategies to improve control effectiveness.
• Partner with Security Operations, Incident Response, Risk, Legal, Compliance, and Information Protection teams to investigate potential data exfiltration and insider risk events.
• Build and enhance automation workflows, dashboards, and reporting to improve visibility into data movement, user behavior, and program performance.
• Serve as a technical subject matter expert for DLP platforms and data protection capabilities across the enterprise.
• Translate regulatory requirements, business needs, and risk scenarios into practical, enforceable technical controls.
• Continuously improve detection quality, operational processes, and reporting to advance program maturity and business alignment.
• Contribute to the evaluation and responsible use of AI-enabled security capabilities that improve detection, analysis, and operational efficiency within data protection workflows.

Qualifications

Required:

• Bachelor’s degree or the equivalent combination of education and relevant experience AND
• 5+ years of experience in information security, with at least 3+ years focused on DLP engineering, data protection, policy development, or insider risk programs.
• Hands-on experience with enterprise DLP platforms such as Symantec DLP, Proofpoint DLP, Microsoft Purview, or similar technologies in a production environment.
• Strong experience designing and tuning DLP policies to improve signal quality and reduce false positives and false negatives.
• Experience investigating DLP alerts, performing triage and root cause analysis, and supporting incident response or insider risk workflows.
• Strong understanding of data protection concepts across structured and unstructured data, endpoint, email, cloud, and collaboration environments.
• Excellent written and verbal communication skills, including experience developing documentation, playbooks, metrics, and stakeholder reporting.
• Strong analytical skills, attention to detail, and the ability to operate effectively in a fast-paced, collaborative environment.

Preferred:

• Experience supporting data protection programs within financial services or another highly regulated industry.
• Knowledge of relevant regulatory and control frameworks, including GLBA, SOX, PCI-DSS, and broader data protection and privacy requirements.
• Experience integrating DLP telemetry with SIEM, SOAR, case management, or insider risk platforms to improve detection, response, and reporting.
• Familiarity with Microsoft security and compliance technologies, including Microsoft Purview Information Protection, Insider Risk Management, and Defender ecosystem capabilities.
• Experience with scripting or automation using tools such as PowerShell, Python, or APIs to streamline DLP operations and reporting.
• Understanding of data classification, labeling, and information governance practices.
• Experience evaluating or applying AI/ML-enabled capabilities to improve alert enrichment, detection tuning, workflow automation, or analyst efficiency in